Studi mostrano gravi problemi per i bimbi cresciuti da genitori
omosessuali - Due studi, definiti “scientificamente rigorosi”, vengono
pubblicati su “Social Science Research” – http://www.uccronline.it
20 giugno, 2012
La rivista scientifica “Social
Science Research” ha pubblicato due studi molto interessanti sulle
problematiche dei bambini cresciuti all’interno di una relazione omosessuale.
Sono studi importanti in quanto
riequilibrano le posizioni in campo: finora, infatti, le prime ricerche su
questo tema hanno sostenuto la non-differenza, negando le diversità tra i
bambini di coppie eterosessuali e omosessuali, successivamente ricerche
promosse dalla lobby gay hanno tentato addirittura di sostenere una crescita
migliore da parte dei figli di omosessuali. Ma, come ha spiegato Francesco
Paravati, presidente della Società Italiana di Pediatria Ospedaliera (SIPO),
«le problematiche delle “nuove famiglie” sono fenomeni recenti, tutti i
risultati di qualunque organismo scientifico sono perciò preliminari e non
definitivi». Anche Rosa Rosnati, docente di Psicologia sociale alla Cattolica
di Milano, ha spiegato che attualmente le ricerche sul tema «sono su gruppi
molto piccoli e condotte a breve termine. È ovvio che un bambino possa vivere
con due genitori dello stesso sesso. Dal punto di vista biologico e
psicologico, però, un figlio ha bisogno di un uomo e di una donna per
crescere. Poi, certo, ci possono essere figure sostitutive, che assicurano
buone relazioni. Ma un conto è ciò che è preferibile e un altro è la capacità
di adattamento dell’essere umano».
Uno di questi due nuovi studi è
quello del sociologo dell’Università del Texas, Mark Regnerus, il quale vanta
di un impianto metodologico inedito quantitativamente e qualitativamente, sia
perché si basa sul più grande campione rappresentativo casuale a livello
nazionale, sia perché per la prima volta fa parlare direttamente i “figli”
(ormai cresciuti) di genitori omosessuali, dimostrando che il 12% pensa al
suicidio (contro il 5% dei figli di coppie etero), sono più propensi al
tradimento (40% contro il 13%), sono più spesso disoccupati (28% contro l’8%),
ricorrono più facilmente alla psicoterapia (19% contro l’8%), sono più spesso
seguiti dall’assistenza sociale rispetto ai coetanei cresciuti da coppie
eterosessuali sposate. Nel 40% dei casi hanno contratto una patologia
trasmissibile sessualmente (contro l’8%), sono genericamente meno sani, più
poveri, più inclini al fumo e alla criminalità.
L’autore dello studio ha spiegato
che non si vuole esprimere un giudizio sulle capacità genitoriali delle coppie
dello stesso sesso, ma prendere semplicemente atto di una diversità di questi
figli, che si traduce spesso in un problema. Tuttavia si domanda se valga la
pena «spendere un significativo capitale politico ed economico per supportare
queste nuove ma rare famiglie, quando gli americani continuano a fuggire dal
modello di genitori biologici eterosessuali sposati, di gran lunga più comune
ed efficace e ancora, almeno a giudicare dai dati, il posto più sicuro per un
bambino». Anche lui riconosce che i pochi studi finora pubblicati, che
sostengono la teoria della “nessuna differenza” tra bambini cresciuti in
famiglie etero e gay, «si basano su dati non casuali e non rappresentativi, utilizzano
campioni di piccole dimensioni che non consentono la generalizzazione alla
popolazione più ampia di famiglie gay e lesbiche».
Il secondo studio è stato
realizzato da Loren Marks della Louisiana State University, nel quale si
critica fortemente la posizione dell’American Psychological Association (APA),
secondo la quale i figli di genitori gay o lesbiche non sono svantaggiati
rispetto a quelli di coppie eteorsessuali. La studiosa ha analizzati i 59 studi
citati dall’APA per sostenere la propria tesi, dimostrando che essi mancano di
campionamento omogeneo (1), gruppi di confronto (2), caratteristiche del gruppo
di confronto (3), presenza di dati contraddittori (4), portata limitata degli
esiti dei bambini studiati (5), scarsità di dati sul lungo termine (6) e
mancanza di potenza statistica (7). La conclusione è che le forti affermazioni,
comprese quelle compiute dall’APA, non sono empiricamente giustificate. La
ricercatrice si è dunque allineata al giudizio del prestigioso psicologo
Nicholas Cummings, ex presidente dell’American Psychological Association,
secondo cui «l’APA ha permesso che la correttezza politica trionfasse sulla
scienza, sulla conoscenza clinica e sull’integrità professionale. Il pubblico
non può più fidarsi della psicologia organizzata per parlare di prove,
piuttosto si deve basare per quel che riguarda l’essere politicamente corretti.
Al momento la governance dell’APA è investita da un gruppo elitario di 200
psicologi che si scambiano le varie sedi, commissioni, comitati, e il Consiglio
dei Rappresentanti. La stragrande maggioranza dei 100.000 membri sono
essenzialmente privati dei diritti civili». Secondo David J. Eggebeen, del
Department of Human Development and Family Studies della Pennsylvania State
University, lo studio della Marks «offre argomenti ragionevoli per una maggiore
cautela nel trarre forti conclusioni basate sulla ricerca disponibile».
E’ inutile dire che la
prevedibile reazione (a dir poco animalesca) della lobby gay a questi risultati
è stata davvero violenta. I commenti sono stati questi: “odiosi bigotti”,
“gregari dell’Opus Dei”, “dovrebbero vergognarsi”, presentano dati
“”intenzionalmente fuorvianti” e “cercano di screditare i genitori gay e
lesbiche”, “scienza spazzatura” e “disinformazione pseudo-scientifica”.
Addirittura qualcuno ha auspicato «l’inizio della fine della credibilità di
Mark Regnerus per le agenzie di stampa rispettabili». Altri parlano anche di
minacce personali alla sua famiglia. Tuttavia, come ha fatto notare il “New
York Times”, al di là dell’isterismo omosessualista, «gli esperti esterni, in
generale, hanno detto che la ricerca è stata rigorosa, fornendo alcuni dei
migliori dati sul tema». Ma che però non sarebbero «rilevanti nel dibattito sul
matrimonio e adozione gay». Non la pensa così W. Bradford Wilcox, docente di
Sociologia presso l’Università della Virginia, secondo cui invece «lo studio di
Regnerus ci sta portando ad un nuovo capitolo. Il primo capitolo ha suggerito
che non vi è alcuna differenza, il secondo ha detto che ce ne sono e il terzo
capitolo sta cercando di capire le differenze».
Sono arrivate anche critiche
serie, come è normale per ogni studi
scientifico, le quali si sono concentrate quasi esclusivamente sullo studio di
Regnerus. Tuttavia, anche tra i polemici come il demografo Cynthia Osborne, si
riconosce che «lo studio Regnerus è il più scientificamente rigoroso della
maggior parte degli altri studi in questo settore». Allo stesso modo, il
sociologo della Pennsylvania State University Paul Amato, scrive che «è probabilmente
il meglio che possiamo sperare, almeno nel prossimo futuro». Walter Schumm,
docente di “Family Studies and Human Services” presso la Kansas State
University ha commentato: «Una cosa è certa: questo studio rappresenta un serio
tentativo di ottenere informazioni obiettive che raramente sono state
disponibili prima, e non deve essere liquidato semplicemente a causa del
disagio che può provocare». Anche per uno dei più noti network scientifici,
PhysOrg, lo studio «fornisce nuove e convincenti prove che numerose differenze
di benessere, sociali ed emotive, esistono tra i giovani adulti cresciuti da
donne lesbiche e coloro che sono cresciuti in una famiglia tradizionale».
Alle normali critiche ricevute,
inoltre, i due ricercatori -Mark Regnerus e Loren Marks- hanno puntualmente ed
esaurientemente risposto (qui e qui), confermando che «i bambini sembrano più
adatti ad avere una vita adulta con successo quando trascorrono la loro intera
infanzia con i loro padri e madri biologici sposati e specialmente quando i
loro genitori restano sposati anche dopo» (in linea, oltretutto, con tutta la
mole di studi disponibili oggi).
How different are the
adult children of parents who have same-sex relationships? Findings from the
New Family Structures Study - http://www.sciencedirect.com
Department of Sociology and Population Research
Center, University of Texas at Austin, 1 University Station A1700, Austin, TX
78712-0118, United States
Received 1 February 2012. Revised 29 February
2012. Accepted 12 March 2012. Available online 10 June 2012.
Permissions & Reprints
Abstract
The New Family Structures Study (NFSS) is a
social-science data-collection project that fielded a survey to a large, random
sample of American young adults (ages 18–39) who were raised in different types
of family arrangements. In this debut article of the NFSS, I compare how the
young-adult children of a parent who has had a same-sex romantic relationship
fare on 40 different social, emotional, and relational outcome variables when
compared with six other family-of-origin types. The results reveal numerous,
consistent differences, especially between the children of women who have had a
lesbian relationship and those with still-married (heterosexual) biological
parents. The results are typically robust in multivariate contexts as well,
suggesting far greater diversity in lesbian-parent household experiences than
convenience-sample studies of lesbian families have revealed. The NFSS proves
to be an illuminating, versatile dataset that can assist family scholars in
understanding the long reach of family structure and transitions.
Highlights
► The New Family Structures Study
collected data from nearly 3000 adults. ► I compare young adults who grew up with a
lesbian mother or gay father. ► Differences exist between children of parents who have had same-sex
relationships and those with married parents. ► This probability study
suggests considerable diversity among same-sex parents.
Keywords
Same-sex parenting;
Family structure;
Young adulthood;
Sampling concerns
1. Introduction
The well-being of children has long been in the
center of public policy debates about marriage and family matters in the United
States. That trend continues as state legislatures, voters, and the judiciary
considers the legal boundaries of marriage. Social science data remains one of
the few sources of information useful in legal debates surrounding marriage and
adoption rights, and has been valued both by same-sex marriage supporters and
opponents. Underneath the politics about marriage and child development are
concerns about family structures’ possible effects on children: the number of
parents present and active in children’s lives, their genetic relationship to
the children, parents’ marital status, their gender distinctions or
similarities, and the number of transitions in household composition. In this
introduction to the New Family Structures Study (NFSS), I compare how young
adults from a variety of different family backgrounds fare on 40 different
social, emotional, and relational outcomes. In particular, I focus on how
respondents who said their mother had a same-sex relationship with another
woman—or their father did so with another man—compare with still-intact,
two-parent heterosexual married families using nationally-representative data
collected from a large probability sample of American young adults.
Social scientists of family transitions have
until recently commonly noted the elevated stability and social benefits of the
two-parent (heterosexual) married household, when contrasted to single mothers,
cohabiting couples, adoptive parents, and ex-spouses sharing custody ( [Brown,
2004], [Manning et al., 2004] and [McLanahan and Sandefur, 1994]). In 2002,
Child Trends—a well-regarded nonpartisan research organization—detailed the
importance for children’s development of growing up in “the presence of two
biological parents” (their emphasis; Moore et al., 2002, p. 2). Unmarried
motherhood, divorce, cohabitation, and step-parenting were widely perceived to
fall short in significant developmental domains (like education, behavior
problems, and emotional well-being), due in no small part to the comparative
fragility and instability of such relationships.
In their 2001 American Sociological Review
article reviewing findings on sexual orientation and parenting, however,
sociologists Judith Stacey and Tim Biblarz began noting that while there are
some differences in outcomes between children in same-sex and heterosexual
unions, there were not as many as family sociologists might expect, and
differences need not necessarily be perceived as deficits. Since that time the
conventional wisdom emerging from comparative studies of same-sex parenting is
that there are very few differences of note in the child outcomes of gay and
lesbian parents ( [Tasker, 2005], [Wainright and Patterson, 2006] and
[Rosenfeld, 2010]). Moreover, a variety of possible advantages of having a
lesbian couple as parents have emerged in recent studies ( [Crowl et al.,
2008], [Biblarz and Stacey, 2010], [Gartrell and Bos, 2010] and [MacCallum and
Golombok, 2004]). The scholarly discourse concerning gay and lesbian parenting,
then, has increasingly posed a challenge to previous assumptions about the
supposed benefits of being raised in biologically-intact, two-parent
heterosexual households.
1.1. Sampling concerns in previous surveys
Concern has arisen, however, about the
methodological quality of many studies focusing on same-sex parents. In
particular, most are based on non-random, non-representative data often
employing small samples that do not allow for generalization to the larger
population of gay and lesbian families ( [Nock, 2001], [Perrin and Committee on
Psychosocial Aspects of Child and Family Health, 2002] and [Redding, 2008]).
For instance, many published studies on the children of same-sex parents
collect data from “snowball” or convenience samples (e.g., [Bos et al., 2007],
[Brewaeys et al., 1997], [Fulcher et al., 2008], [Sirota, 2009] and
[Vanfraussen et al., 2003]). One notable example of this is the National
Longitudinal Lesbian Family Study, analyses of which were prominently featured
in the media in 2011 (e.g., Huffington Post, 2011). The NLLFS employs a
convenience sample, recruited entirely by self-selection from announcements
posted “at lesbian events, in women’s bookstores, and in lesbian newspapers” in
Boston, Washington, and San Francisco. While I do not wish to downplay the
significance of such a longitudinal study—it is itself quite a feat—this
sampling approach is a problem when the goal (or in this case, the practical
result and conventional use of its findings) is to generalize to a population.
All such samples are biased, often in unknown ways. As a formal sampling
method, “snowball sampling is known to have some serious problems,” one expert
asserts (Snijders, 1992, p. 59). Indeed, such samples are likely biased toward
“inclusion of those who have many interrelationships with, or are coupled to, a
large number of other individuals” (Berg, 1988, p. 531). But apart from the
knowledge of individuals’ inclusion probability, unbiased estimation is not
possible.
Further, as Nock (2001) entreated, consider the
convenience sample recruited from within organizations devoted to seeking
rights for gays and lesbians, like the NLLFS sampling strategy. Suppose, for
example, that the respondents have higher levels of education than comparable
lesbians who do not frequent such events or bookstores, or who live elsewhere.
If such a sample is used for research purposes, then anything that is
correlated with educational attainment—like better health, more deliberative
parenting, and greater access to social capital and educational opportunities
for children—will be biased. Any claims about a population based on a group
that does not represent it will be distorted, since its sample of lesbian
parents is less diverse (given what is known about it) than a representative
sample would reveal (Baumle et al., 2009).
To compound the problem, results from
nonprobability samples—from which meaningful statistics cannot be generated—are
regularly compared with population-level samples of heterosexual parents, which
no doubt are comprised of a blend of higher and lower quality parents. For
example, [Gartrell et al., 2011a] and [Gartrell et al., 2011b] inquired about
the sexual orientation and behavior of adolescents by comparing data from the
National Survey of Family Growth (NSFG) with those in the snowball sample of
youth in the NLLFS. Comparing a population-based sample (the NSFG) to a select
sample of youth from same-sex parents does not provide the statistical
confidence demanded of good social science. Until now, this has been a primary
way in which scholars have collected and evaluated data on same-sex parents.
This is not to suggest that snowball samples are inherently problematic as
data-collection techniques, only that they are not adequate for making useful
comparisons with samples that are entirely different with regard to selection
characteristics. Snowball and various other types of convenience sampling are
simply not widely generalizable or comparable to the population of interest as
a whole. While researchers themselves commonly note this important limitation,
it is often entirely lost in the translation and transmission of findings by
the media to the public.
1.2. Are there notable differences?
The “no differences” paradigm suggests that
children from same-sex families display no notable disadvantages when compared
to children from other family forms. This suggestion has increasingly come to
include even comparisons with intact biological, two-parent families, the form
most associated with stability and developmental benefits for children (
[McLanahan and Sandefur, 1994] and [Moore et al., 2002]).
Answering questions about notable between-group
differences has nevertheless typically depended on with whom comparisons are
being made, what outcomes the researchers explored, and whether the outcomes
evaluated are considered substantial or superficial, or portents of future
risk. Some outcomes—like sexual behavior, gender roles, and democratic
parenting, for example—have come to be valued differently in American society
over time.
For the sake of brevity—and to give ample space
here to describing the NFSS—I will avoid spending too much time describing
previous studies, many of whose methodological challenges are addressed by the
NFSS. Several review articles, and at least one book, have sought to provide a
more thorough assessment of the literature ( [Anderssen et al., 2002], [Biblarz
and Stacey, 2010], [Goldberg, 2010], [Patterson, 2000] and [Stacey and Biblarz,
2001a]). Suffice it to say that versions of the phrase “no differences” have
been employed in a wide variety of studies, reports, depositions, books, and
articles since 2000 (e.g., [Crowl et al., 2008], [Movement Advancement Project,
2011], [Rosenfeld, 2010], [Tasker, 2005], [Stacey and Biblarz, 2001a], [Stacey
and Biblarz, 2001b], [Veldorale-Brogan and Cooley, 2011] and [Wainright et al.,
2004]).
Much early research on gay parents typically
compared the child development outcomes of divorced lesbian mothers with those
of divorced heterosexual mothers (Patterson, 1997). This was also the strategy
employed by psychologist Fiona Tasker (2005), who compared lesbian mothers with
single, divorced heterosexual mothers and found “no systematic differences
between the quality of family relationships” therein. Wainright et al. (2004),
using 44 cases in the nationally-representative Add Health data, reported that
teenagers living with female same-sex parents displayed comparable self-esteem,
psychological adjustment, academic achievement, delinquency, substance use, and
family relationship quality to 44 demographically “matched” cases of
adolescents with opposite-sex parents, suggesting that here too the comparisons
were not likely made with respondents from stable, biologically-intact, married
families.
However, small sample sizes can contribute to
“no differences” conclusions. It is not surprising that
statistically-significant differences would not emerge in studies employing as
few as 18 or 33 or 44 cases of respondents with same-sex parents, respectively
( [Fulcher et al., 2008], [Golombok et al., 2003] and [Wainright and Patterson,
2006]). Even analyzing matched samples, as a variety of studies have done,
fails to mitigate the challenge of locating statistically-significant
differences when the sample size is small. This is a concern in all of social
science, but one that is doubly important when there may be motivation to
confirm the null hypothesis (that is, that there are in fact no
statistically-significant differences between groups). Therefore, one important
issue in such studies is the simple matter of if there is enough statistical
power to detect meaningful differences should they exist. Rosenfeld (2010) is
the first scholar to employ a large, random sample of the population in order
to compare outcomes among children of same-sex parents with those of heterosexual
married parents. He concluded—after controlling for parents’ education and
income and electing to limit the sample to households exhibiting at least 5
years of co-residential stability—that there were no statistically-significant
differences between the two groups in a pair of measures assessing children’s
progress through primary school.
Sex-related outcomes have more consistently
revealed distinctions, although the tone of concern about them has diminished
over time. For example, while the daughters of lesbian mothers are now widely
understood to be more apt to explore same-sex sexual identity and behavior,
concern about this finding has faded as scholars and the general public have
become more accepting of GLB identities (Goldberg, 2010). Tasker and Golombok
(1997) noted that girls raised by lesbian mothers reported a higher number of
sexual partners in young adulthood than daughters of heterosexual mothers. Boys
with lesbian mothers, on the other hand, appear to display the opposite
trend—fewer partners than the sons of heterosexual mothers.
More recently, however, the tone about “no
differences” has shifted some toward the assertion of differences, and that
same-sex parents appear to be more competent than heterosexual parents (
[Biblarz and Stacey, 2010] and [Crowl et al., 2008]). Even their romantic
relationships may be better: a comparative study of Vermont gay civil unions
and heterosexual marriages revealed that same-sex couples report higher
relationship quality, compatibility, and intimacy, and less conflict than did
married heterosexual couples (Balsam et al., 2008). Biblarz and Stacey’s (2010)
review article on gender and parenting asserts that,
based strictly on the published science, one
could argue that two women parent better on average than a woman and a man, or
at least than a woman and man with a traditional division of labor. Lesbian
coparents seem to outperform comparable married heterosexual, biological
parents on several measures, even while being denied the substantial privileges
of marriage (p. 17).
Even here, however, the authors note that
lesbian parents face a “somewhat greater risk of splitting up,” due, they
suggest, to their “asymmetrical biological and legal statuses and their high
standards of equality” (2010, p. 17).
Another meta-analysis asserts that
non-heterosexual parents, on average, enjoy significantly better relationships
with their children than do heterosexual parents, together with no differences
in the domains of cognitive development, psychological adjustment, gender
identity, and sexual partner preference (Crowl et al., 2008).
However, the meta-analysis reinforces the
profound importance of who is doing the reporting—nearly always volunteers for
small studies on a group whose claims about documentable parenting successes
are very relevant in recent legislative and judicial debates over rights and
legal statuses. Tasker (2010, p. 36) suggests caution:
Parental self-report, of course, may be biased.
It is plausible to argue that, in a prejudiced social climate, lesbian and gay
parents may have more at stake in presenting a positive picture….Future studies
need to consider using additional sophisticated measures to rule out potential
biases…
Suffice it to say that the pace at which the
overall academic discourse surrounding gay and lesbian parents’ comparative
competence has shifted—from slightly-less adept to virtually identical to more
adept—is notable, and rapid. By comparison, studies of adoption—a common method
by which many same-sex couples (but more heterosexual ones) become parents—have
repeatedly and consistently revealed important and wide-ranging differences, on
average, between adopted children and biological ones. In fact, these
differences have been so pervasive and consistent that adoption experts now
emphasize that “acknowledgement of difference” is critical for both parents and
clinicians when working with adopted children and teens (Miller et al., 2000).
This ought to give social scientists studying gay parenting outcomes pause,
especially in light of concerns noted above about small sample sizes and the
absence of a comparable recent, documented improvement in outcomes from youth
in adopted families and stepfamilies.
Far more, too, is known about the children of
lesbian mothers than about those of gay fathers ( [Biblarz and Stacey, 2010],
[Patterson, 2006] and [Veldorale-Brogan and Cooley, 2011]). Biblarz and Stacey
(2010, p. 17) note that while gay-male families remain understudied, “their
daunting routes to parenthood seem likely to select more for strengths than
limitations.” Others are not so optimistic. One veteran of a study of the
daughters of gay fathers warns scholars to avoid overlooking the family
dynamics of “emergent” gay parents, who likely outnumber planned ones:
“Children born into heterosexually organized marriages where fathers come out
as gay or bisexual also face having to deal with maternal bitterness, marital
conflict, possible divorce, custody issues, and father’s absence” (Sirota,
2009, p. 291).
Regardless of sampling strategy, scholars also
know much less about the lives of young-adult children of gay and lesbian
parents, or how their experiences and accomplishments as adults compare with
others who experienced different sorts of household arrangements during their
youth. Most contemporary studies of gay parenting processes have focused on the
present—what is going on inside the household when children are still under
parental care ( [Tasker, 2005], [Bos and Sandfort, 2010] and [Brewaeys et al.,
1997]). Moreover, such research tends to emphasize parent-reported outcomes
like parental divisions of labor, parent–child closeness, daily interaction
patterns, gender roles, and disciplinary habits. While such information is
important to learn, it means we know far more about the current experience of
parents in households with children than we do about young adults who have
already moved through their childhood and now speak for themselves. Studies on
family structure, however, serve scholars and family practitioners best when
they span into adulthood. Do the children of gay and lesbian parents look
comparable to those of their heterosexual counterparts? The NFSS is poised to
address this question about the lives of young adults between the ages of 18 and
39, but not about children or adolescents. While the NFSS is not the answer to
all of this domain’s methodological challenges, it is a notable contribution in
important ways.
1.3. The New Family Structures Study
Besides being brand-new data, several other
aspects about the NFSS are novel and noteworthy. First, it is a study of young
adults rather than children or adolescents, with particular attention paid to
reaching ample numbers of respondents who were raised by parents that had a
same-sex relationship. Second, it is a much larger study than nearly all of its
peers. The NFSS interviewed just under 3000 respondents, including 175 who
reported their mother having had a same-sex romantic relationship and 73 who
said the same about their father. Third, it is a weighted probability sample,
from which meaningful statistical inferences and interpretations can be drawn.
While the 2000 (and presumably, the 2010) US Census Integrated Public Use
Microdata Series (IPUMS) offers the largest nationally-representative sample-based
information about youth in same-sex households, the Census collects much less
outcome information of interest. The NFSS, however, asked numerous questions
about respondents’ social behaviors, health behaviors, and relationships. This
manuscript provides the first glimpse into those outcomes by offering
statistical comparisons of them among eight different family
structures/experiences of origin. Accordingly, there is much that the NFSS
offers, and not just about the particular research questions of this study.
There are several things the NFSS is not. The
NFSS is not a longitudinal study, and therefore cannot attempt to broach
questions of causation. It is a cross-sectional study, and collected data from
respondents at only one point in time, when they were between the ages of 18
and 39. It does not evaluate the offspring of gay marriages, since the vast
majority of its respondents came of age prior to the legalization of gay
marriage in several states. This study cannot answer political questions about
same-sex relationships and their legal legitimacy. Nevertheless, social science
is a resource that offers insight to political and legal decision-makers, and
there have been enough competing claims about “what the data says” about the
children of same-sex parents—including legal depositions of social scientists
in important cases—that a study with the methodological strengths of this one
deserves scholarly attention and scrutiny.
2. Data collection, measures, and analytic
approach
The NFSS data collection project is based at
the University of Texas at Austin’s Population Research Center. A survey design
team consisting of several leading family researchers in sociology, demography,
and human development—from Penn State University, Brigham Young University, San
Diego State University, the University of Virginia, and several from the
University of Texas at Austin—met over 2 days in January 2011 to discuss the
project’s sampling strategy and scope, and continued to offer advice as
questions arose over the course of the data collection process. The team was
designed to merge scholars across disciplines and ideological lines in a spirit
of civility and reasoned inquiry. Several additional external consultants also
gave close scrutiny to the survey instrument, and advised on how best to
measure diverse topics. Both the study protocol and the questionnaire were
approved by the University of Texas at Austin’s Institutional Review Board. The
NFSS data is intended to be publicly accessible and will thus be made so with
minimal requirements by mid-late 2012. The NFSS was supported in part by grants
from the Witherspoon Institute and the Bradley Foundation. While both of these
are commonly known for their support of conservative causes—just as other
private foundations are known for supporting more liberal causes—the funding
sources played no role at all in the design or conduct of the study, the
analyses, the interpretations of the data, or in the preparation of this
manuscript.
2.1. The data collection process
The data collection was conducted by Knowledge
Networks (or KN), a research firm with a very strong record of generating
high-quality data for academic projects. Knowledge Networks recruited the first
online research panel, dubbed the KnowledgePanel®, that is representative of
the US population. Members of the KnowledgePanel® are randomly recruited by
telephone and mail surveys, and households are provided with access to the
Internet and computer hardware if needed. Unlike other Internet research panels
sampling only individuals with Internet access who volunteer for research, the
KnowledgePanel® is based on a sampling frame which includes both listed and
unlisted numbers, those without a landline telephone and is not limited to
current Internet users or computer owners, and does not accept self-selected
volunteers. As a result, it is a random, nationally-representative sample of
the American population. At last count, over 350 working papers, conference
presentations, published articles, and books have used Knowledge Networks’
panels, including the 2009 National Survey of Sexual Health and Behavior, whose
extensive results were featured in an entire volume of the Journal of Sexual
Medicine—and prominently in the media—in 2010 (Herbenick et al., 2010). More information
about KN and the KnowledgePanel®, including panel recruitment, connection,
retention, completion, and total response rates, are available from KN. The
typical within survey response rate for a KnowledgePanel® survey is 65%.
Appendix A presents a comparison of age-appropriate summary statistics from a
variety of socio-demographic variables in the NFSS, alongside the most recent
iterations of the Current Population Survey, the National Longitudinal Study of
Adolescent Health (Add Health), the National Survey of Family Growth, and the
National Study of Youth and Religion—all recent nationally-representative
survey efforts. The estimates reported there suggest the NFSS compares very
favorably with other nationally-representative datasets.
2.2. The screening process
Particularly relevant for the NFSS is the fact
that key populations—gay and lesbian parents, as well as heterosexual adoptive
parents—can be challenging to identify and locate. The National Center for
Marriage and Family Research (2010) estimates that there are approximately
580,000 same-sex households in the United States. Among them, about 17%—or
98,600—are thought to have children present. While that may seem like a
substantial number, in population-based sampling strategies it is not. Locating
minority populations requires a search for a probability sample of the general
population, typically by way of screening the general population to identify
members of rarer groups. Thus in order to boost the number of respondents who
reported being adopted or whose parent had a same-sex romantic relationship,
the screener survey (which distinguished such respondents) was left in the
field for several months between July 2011 and February 2012, enabling existing
panelists more time to be screened and new panelists to be added. Additionally,
in late Fall 2011, former members of the KnowledgePanel® were re-contacted by
mail, phone, and email to encourage their screening. A total of 15,058 current
and former members of KN’s KnowledgePanel® were screened and asked, among
several other questions, “From when you were born until age 18 (or until you
left home to be on your own), did either of your parents ever have a romantic
relationship with someone of the same sex?” Response choices were “Yes, my
mother had a romantic relationship with another woman,” “Yes, my father had a
romantic relationship with another man,” or “no.” (Respondents were also able
to select both of the first two choices.) If they selected either of the first
two, they were asked about whether they had ever lived with that parent while
they were in a same-sex romantic relationship. The NFSS completed full surveys
with 2988 Americans between the ages of 18 and 39. The screener and full survey
instrument is available at the NFSS homepage, located at:
www.prc.utexas.edu/nfss .
2.3. What does a representative sample of gay
and lesbian parents (of young adults) look like?
The weighted screener data—a
nationally-representative sample—reveal that 1.7% of all Americans between the
ages of 18 and 39 report that their father or mother has had a same-sex
relationship, a figure comparable to other estimates of children in gay and
lesbian households (e.g., [Stacey and Biblarz, 2001a] and [Stacey and Biblarz,
2001b] report a plausible range from 1% to 12%). Over twice as many respondents
report that their mother has had a lesbian relationship as report that their
fathers have had a gay relationship. (A total of 58% of the 15,058 persons
screened report spending their entire youth—up until they turned 18 or left the
house—with their biological mother and father.)
While gay and lesbian Americans typically
become parents today in four ways—through one partner’s previous participation
in a heterosexual union, through adoption, in-vitro fertilization, or by a surrogate—the
NFSS is more likely to be comprised of respondents from the first two of these
arrangements than from the last two. Today’s children of gay men and lesbian
women are more apt to be “planned” (that is, by using adoption, IVF, or
surrogacy) than as little as 15–20 years ago, when such children were more
typically the products of heterosexual unions. The youngest NFSS respondents
turned 18 in 2011, while the oldest did so in 1990. Given that unintended
pregnancy is impossible among gay men and a rarity among lesbian couples, it
stands to reason that gay and lesbian parents today are far more selective
about parenting than the heterosexual population, among whom unintended
pregnancies remain very common, around 50% of total (Finer and Henshaw, 2006).
The share of all same-sex parenting arrangements that is planned, however,
remains unknown. Although the NFSS did not directly ask those respondents whose
parent has had a same-sex romantic relationship about the manner of their own
birth, a failed heterosexual union is clearly the modal method: just under half
of such respondents reported that their biological parents were once married.
This distinguishes the NFSS from numerous studies that have been entirely
concerned with “planned” gay and lesbian families, like the NLLFS.
Among those who said their mother had a
same-sex relationship, 91% reported living with their mother while she was in
the romantic relationship, and 57% said they had lived with their mother and
her partner for at least 4 months at some point prior to age 18. A smaller
share (23%) said they had spent at least 3 years living in the same household
with a romantic partner of their mother’s.
Among those who said their father had a
same-sex relationship, however, 42% reported living with him while he was in a
same-sex romantic relationship, and 23% reported living with him and his
partner for at least 4 months (but less than 2% said they had spent at least 3
years together in the same household), a trend similarly noted in Tasker’s
(2005) review article on gay and lesbian parenting.
Fifty-eight (58) percent of those whose
biological mothers had a same-sex relationship also reported that their biological
mother exited the respondent’s household at some point during their youth, and
just under 14% of them reported spending time in the foster care system,
indicating greater-than-average household instability. Ancillary analyses of
the NFSS suggests a likely “planned” lesbian origin of between 17% and 26% of
such respondents, a range estimated from the share of such respondents who
claimed that (1) their biological parents were never married or lived together,
and that (2) they never lived with a parental opposite-sex partner or with
their biological father. The share of respondents (whose fathers had a same-sex
relationship) that likely came from “planned” gay families in the NFSS is under
1%.
These distinctions between the NFSS—a
population-based sample—and small studies of planned gay and lesbian families
nevertheless raise again the question of just how unrepresentative convenience
samples of gay and lesbian parents actually are. The use of a probability
sample reveals that the young-adult children of parents who have had same-sex
relationships (in the NFSS) look less like the children of today’s stereotypic
gay and lesbian couples—white, upper–middle class, well-educated, employed, and
prosperous—than many studies have tacitly or explicitly portrayed. Goldberg
(2010, pp. 12–13) aptly notes that existing studies of lesbian and gay couples
and their families have largely included “white, middle-class persons who are
relatively ‘out’ in the gay community and who are living in urban areas,” while
“working-class sexual minorities, racial or ethnic sexual minorities, sexual
minorities who live in rural or isolated geographical areas” have been
overlooked, understudied, and difficult to reach. Rosenfeld’s (2010) analysis
of Census data suggests that 37% of children in lesbian cohabiting households
are Black or Hispanic. Among respondents in the NFSS who said their mother had
a same-sex relationship, 43% are Black or Hispanic. In the NLLFS, by contrast,
only 6% are Black or Hispanic.
This is an important oversight: demographic
indicators of where gay parents live today point less toward stereotypic places
like New York and San Francisco and increasingly toward locales where families
are more numerous and overall fertility is higher, like San Antonio and Memphis.
In their comprehensive demographic look at the American gay and lesbian
population, Gates and Ost (2004, p. 47) report, “States and large metropolitan
areas with relatively low concentrations of gay and lesbian couples in the
population tend to be areas where same-sex couples are more likely to have
children in the household.” A recent updated brief by Gates (2011, p. F3)
reinforces this: “Geographically, same-sex couples are most likely to have
children in many of the most socially conservative parts of the country.”
Moreover, Gates notes that racial minorities are disproportionately more likely
(among same-sex households) to report having children; whites, on the other
hand, are disproportionately less likely to have children. The NFSS sample
reveals the same. Gates’ Census-based assessments further raise questions about
the sampling strategies of—and the popular use of conclusions from—studies
based entirely on convenience samples derived from parents living in
progressive metropolitan locales.
2.4. The structure and experience of
respondents’ families of origin
The NFSS sought to provide as clear a vision as
possible of the respondents’ household composition during their childhood and
adolescence. The survey asked respondents about the marital status of their
biological parents both in the past and present. The NFSS also collected
“calendar” data from each respondent about their relationship to people who
lived with them in their household (for more than 4 months) from birth to age
18, as well as who has lived with them from age 18—after they have left home—to
the present. While the calendar data is utilized only sparingly in this study,
such rich data enables researchers to document who else has lived with the
respondent for virtually their entire life up to the present.
For this particular study, I compare outcomes
across eight different types of family-of-origin structure and/or experience.
They were constructed from the answers to several questions both in the
screener survey and the full survey. It should be noted, however, that their
construction reflects an unusual combination of interests—the same-sex romantic
behavior of parents, and the experience of household stability or disruption.
The eight groups or household settings (with an acronym or short descriptive
title) evaluated here, followed by their maximum unweighted analytic sample
size, are:
1.
IBF: Lived in intact biological family (with
mother and father) from 0 to 18, and parents are still married at present (N =
919).
2.
LM: R reported R’s mother had a same-sex
romantic (lesbian) relationship with a woman, regardless of any other household
transitions (N = 163).
3.
GF: R reported R’s father had a same-sex
romantic (gay) relationship with a man, regardless of any other household
transitions (N = 73).
4.
Adopted: R was adopted by one or two strangers
at birth or before age 2 (N = 101).
5.
Divorced later or had joint custody: R reported
living with biological mother and father from birth to age 18, but parents are
not married at present (N = 116).
6.
Stepfamily: Biological parents were either
never married or else divorced, and R’s primary custodial parent was married to
someone else before R turned 18 (N = 394).
7.
Single parent: Biological parents were either
never married or else divorced, and R’s primary custodial parent did not marry
(or remarry) before R turned 18 (N = 816).
8.
All others: Includes all other family
structure/event combinations, such as respondents with a deceased parent (N =
406).
Together these eight groups account for the
entire NFSS sample. These eight groups are largely, but not entirely, mutually
exclusive in reality. That is, a small minority of respondents might fit more
than one group. I have, however, forced their mutual exclusivity here for
analytic purposes. For example, a respondent whose mother had a same-sex
relationship might also qualify in Group 5 or Group 7, but in this case my
analytical interest is in maximizing the sample size of Groups 2 and 3 so the
respondent would be placed in Group 2 (LMs). Since Group 3 (GFs) is the
smallest and most difficult to locate randomly in the population, its
composition trumped that of others, even LMs. (There were 12 cases of
respondents who reported both a mother and a father having a same-sex
relationship; all are analyzed here as GFs, after ancillary analyses revealed
comparable exposure to both their mother and father).
Obviously, different grouping decisions may
affect the results. The NFSS, which sought to learn a great deal of information
about respondents’ families of origin, is well-poised to accommodate
alternative grouping strategies, including distinguishing those respondents who
lived with their lesbian mother’s partner for several years (vs. sparingly or
not at all), or early in their childhood (compared to later). Small sample
sizes (and thus reduced statistical power) may nevertheless hinder some
strategies.
In the results section, for maximal ease, I
often make use of the acronyms IBF (child of a still-intact biological family),
LM (child of a lesbian mother), and GF (child of a gay father). It is, however,
very possible that the same-sex romantic relationships about which the
respondents report were not framed by those respondents as indicating their own
(or their parent’s own) understanding of their parent as gay or lesbian or
bisexual in sexual orientation. Indeed, this is more a study of the children of
parents who have had (and in some cases, are still in) same-sex relationships
than it is one of children whose parents have self-identified or are “out” as
gay or lesbian or bisexual. The particular parental relationships the
respondents were queried about are, however, gay or lesbian in content. For the
sake of brevity and to avoid entanglement in interminable debates about fixed
or fluid orientations, I will regularly refer to these groups as respondents
with a gay father or lesbian mother.
2.5. Outcomes of interest
This study presents an overview of 40 outcome
measures available in the NFSS. Table 1 presents summary statistics for all
variables. Why these outcomes? While the survey questionnaire (available
online) contains several dozen outcome questions of interest, I elected to
report here an overview of those outcomes, seeking to include common and
oft-studied variables of interest from a variety of different domains. I
include all of the particular indexes we sought to evaluate, and a broad list
of outcomes from the emotional, relational, and social domains. Subsequent
analyses of the NFSS will no doubt examine other outcomes, as well as examine
the same outcomes in different ways.
Table 1. Weighted summary statistics of
measures, NFSS.
NFSS VARIABLES RANGE MEAN SD N
Currently married 0, 1 0.41 0.49 2988
Currently cohabiting 0, 1 0.15 0.36 2988
Family received welfare growing up 0, 1 0.34 0.47 2669
Currently on public assistance 0, 1 0.21 0.41 2952
Currently employed full-time 0,1 0.45 0.50 2988
Currently unemployed 0, 1 0.12 0.32 2988
Voted in last presidential election 0, 1 0.55 0.50 2960
Bullied while growing up 0, 1 0.36 0.48 2961
Ever suicidal during past year 0, 1 0.07 0.25 2953
Recently or currently in therapy 0, 1 0.11 0.32 2934
Identifies as entirely heterosexual 0, 1 0.85 0.36 2946
Is in a same-sex romantic relationship 0, 1 0.06 0.23 1056
Had affair while married/cohabiting 0, 1 0.19 0.39 1869
Has ever had an STI 0, 1 0.11 0.32 2911
Ever touched sexually by parent/adult 0, 1 0.07 0.26 2877
Ever forced to have sex against will 0, 1 0.13 0.33 2874
Educational attainment 1–5 2.86 1.11 2988
Family-of-origin safety/security 1–5 3.81 0.97 2917
Family-of-origin negative impact 1–5 2.58 0.98 2919
Closeness to biological mother 1–5 4.05 0.87 2249
Closeness to biological father 1–5 3.74 0.98 1346
Self-reported physical health 1–5 3.57 0.94 2964
Self-reported overall happiness 1–5 4.00 1.05 2957
CES-D depression index 1–4 1.89 0.62 2815
Attachment scale (depend) 1–5 2.97 0.84 2848
Attachment scale (anxiety) 1–5 2.51 0.77 2830
Impulsivity scale 1–4 1.88 0.59 2861
Level of household income 1–13 7.42 3.17 2635
Current relationship quality index 1–5 3.98 0.98 2218
Current relationship is in trouble 1–4 2.19 0.96 2274
Frequency of marijuana use 1–6 1.50 1.23 2918
Frequency of alcohol use 1–6 2.61 1.36 2922
Frequency of drinking to get drunk 1–6 1.70 1.09 2922
Frequency of smoking 1–6 2.03 1.85 2922
Frequency of watching TV 1–6 3.15 1.60 2919
Frequency of having been arrested 1–4 1.29 0.63 2951
Frequency pled guilty to non-minor offense 1–4 1.16 0.46 2947
N of female sex partners (among women) 0–11 0.40 1.10 1975
N of female sex partners (among men) 0–11 3.16 2.68 937
N of male sex partners (among women) 0–11 3.50 2.52 1951
N of male sex partners (among men) 0–11 0.40 1.60 944
Age 18–39 28.21 6.37 2988
Female 0,
1 0.51 0.50 2988
White 0,
1 0.57 0.49 2988
Gay-friendliness of state of residence 1–5 2.58 1.78 2988
Family-of-origin structure groups
Intact biological family (IBF) 0, 1 0.40 0.49 2988
Mother had same-sex relationship (LM) 0, 1 0.01 0.10 2988
Father had same-sex relationship (GF) 0, 1 0.01 0.75 2988
Adopted age 0–2 0,
1 0.01 0.75 2988
Divorced later/joint custody 0, 1 0.06 0.23 2988
Stepfamily 0,
1 0.17 0.38 2988
Single parent 0,
1 0.19 0.40 2988
All others 0,
1 0.15 0.36 2988
Mother’s education
Less than high school 0, 1 0.15 0.35 2988
Received high school diploma 0, 1 0.28 0.45 2988
Some college/associate’s degree 0, 1 0.26 0.44 2988
Bachelor’s degrees 0, 1 0.15 0.36 2988
More than bachelor’s 0, 1 0.08 0.28 2988
Do not know/missing 0, 1 0.08 0.28 2988
Family-of-origin income
$0–20,000 0,
1 0.13 0.34 2988
$20,001–40,000 0,
1 0.19 0.39 2988
$40,001–75,000 0,
1 0.25 0.43 2988
$75,001–100,000 0,
1 0.14 0.34 2988
$100,001–150,000 0, 1 0.05 0.22 2988
$150,001–200,000 0, 1 0.01 0.11 2988
Above $200,000 0,
1 0.01 0.10 2988
Do not know/missing 0, 1 0.22 0.42 2988
The dichotomous outcome variables summarized in
Table 1 are the following: relationship status, employment status, whether they
voted in the last presidential election, and use of public assistance (both
currently and while growing up), the latter of which was asked as “Before you
were 18 years old, did anyone in your immediate family (that is, in your
household) ever receive public assistance (such as welfare payments, food
stamps, Medicaid, WIC, or free lunch)?” Respondents were also asked about
whether they had ever seriously thought about committing suicide in the past 12
months, and about their utilization of counseling or psychotherapy for
treatment of “any problem connected with anxiety, depression, relationships,
etc.”
The Kinsey scale of sexual behavior was
employed, but modified to allow respondents to select the best description of
their sexual orientation (rather than behavior). Respondents were asked to
choose the description that best fits how they think about themselves: 100%
heterosexual, mostly heterosexual but somewhat attracted to people of your own
sex, bisexual (that is, attracted to men and women equally), mostly homosexual
but somewhat attracted to people of the opposite sex, 100% homosexual, or not
sexually attracted to either males or females. For simplicity of presentation,
I create a dichotomous measure indicating 100% heterosexual (vs. anything
else). Additionally, unmarried respondents who are currently in a relationship
were asked if their romantic partner is a man or a woman, allowing construction
of a measure of “currently in a same-sex romantic relationship.”
All respondents were asked if “a parent or
other adult caregiver ever touched you in a sexual way, forced you to touch him
or her in a sexual way, or forced you to have sexual relations?” Possible
answers were: no, never; yes, once; yes, more than once; or not sure. A broader
measure about forced sex was asked before it, and read as follows: “Have you
ever been physically forced to have any type of sexual activity against your
will?” It employs identical possible answers; both have been dichotomized for the
analyses (respondents who were “not sure” were not included). Respondents were
also asked if they had ever had a sexually-transmitted infection, and if they
had ever had a sexual relationship with someone else while they (the
respondent) were married or cohabiting.
Among continuous variables, I included a
five-category educational achievement measure, a standard five-point
self-reported measure of general physical health, a five-point measure of
overall happiness, a 13-category measure of total household income before taxes
and deductions last year, and a four-point (frequency) measure of how often the
respondent thought their current relationship “might be in trouble” (never
once, once or twice, several times, or numerous times). Several continuous variables
were constructed from multiple measures, including an eight-measure modified
version of the CES-D depression scale, an index of the respondent’s reported
current (romantic) relationship quality, closeness to the respondent’s
biological mother and father, and a pair of attachment scales—one assessing
dependability and the other anxiety. Finally, a pair of indexes captures (1)
the overall safety and security in their family while growing up, and (2)
respondents’ impressions of negative family-of-origin experiences that continue
to affect them. These are part of a multidimensional relationship assessment
instrument (dubbed RELATE) designed with the perspective that aspects of family
life, such as the quality of the parent’s relationship with their children,
create a family tone that can be mapped on a continuum from
safe/predictable/rewarding to unsafe/chaotic/punishing (Busby et al., 2001).
Each of the scales and their component measures are detailed in Appendix B.
Finally, I evaluate nine count outcomes, seven
of which are frequency measures, and the other two counts of gender-specific
sexual partners. Respondents were asked, “During the past year, how often did
you…” watch more than 3 h of television in a row, use marijuana, smoke, drink
alcohol, and drink with the intent to get drunk. Responses (0–5) ranged from
“never” to “every day or almost every day.” Respondents were also asked if they
have ever been arrested, and if they had ever been convicted of or pled guilty
to any charges other than a minor traffic violation. Answers to these two
ranged from 0 (no, never) to 3 (yes, numerous times). Two questions about
respondents’ number of sex partners were asked (of both men and women) in this
way: “How many different women have you ever had a sexual relationship with?
This includes any female you had sex with, even if it was only once or if you
did not know her well.” The same question was asked about sexual relationships
with men. Twelve responses were possible: 0, 1, 2, 3, 4–6, 7–9, 10–15, 16–20,
21–30, 31–50, 51–99, and 100+.
2.6. Analytic approach
My analytic strategy is to highlight
distinctions between the eight family structure/experience groups on the 40
outcome variables, both in a bivariate manner (using a simple T-test) and in a
multivariate manner using appropriate variable-specific regression
techniques—logistic, OLS, Poisson, or negative binomial—and employing controls
for respondent’s age, race/ethnicity, gender, mother’s education, and perceived
family-of-origin income, an approach comparable to Rosenfeld’s (2010) analysis
of differences in children making normal progress through school and the
overview article highlighting the findings of the first wave of the Add Health
study (Resnick et al., 1997). Additionally, I controlled for having been bullied,
the measure for which was asked as follows: “While growing up, children and
teenagers typically experience negative interactions with others. We say that
someone is bullied when someone else, or a group, says or does nasty and
unpleasant things to him or her. We do not consider it bullying when two people
quarrel or fight, however. Do you recall ever being bullied by someone else, or
by a group, such that you still have vivid, negative memories of it?”
Finally, survey respondents’ current state of
residence was coded on a scale (1–5) according to how expansive or restrictive
its laws are concerning gay marriage and the legal rights of same-sex couples
(as of November 2011). Emerging research suggests state-level political
realities about gay rights may discernibly shape the lives of GLB residents (
[Hatzenbuehler et al., 2009] and [Rostosky et al., 2009]). This coding scheme
was borrowed from a Los Angeles Times effort to map the timeline of state-level
rights secured for gay unions. I modified it from a 10-point to a 5-point scale
(Times Research Reporting, 2012). I classify the respondent’s current state in
one of the following five ways:
•
1 = Constitutional amendment banning gay
marriage and/or other legal rights.
•
2 = Legal ban on gay marriage and/or other
legal rights.
•
3 = No specific laws/bans and/or domestic
partnerships are legal.
•
4 = Domestic partnerships with comprehensive
protections are legal and/or gay marriages performed elsewhere are recognized.
•
5 = Civil unions are legal and/or gay marriage
is legal.
Each case in the NFSS sample was assigned a
weight based on the sampling design and their probability of being selected,
ensuring a sample that is nationally representative of American adults aged
18–39. These sample weights were used in every statistical procedure displayed
herein unless otherwise noted. The regression models exhibited few (N < 15)
missing values on the covariates.
This broad overview approach, appropriate for
introducing a new dataset, provides a foundation for future, more focused
analyses of the outcomes I explore here. There are, after all, far more ways to
delineate family structure and experiences—and changes therein—than I have
undertaken here. Others will evaluate such groupings differently, and will construct
alternative approaches of testing for group differences in what is admittedly a
wide diversity of outcome measures.
I would be remiss to claim causation here,
since to document that having particular family-of-origin experiences—or the
sexual relationships of one’s parents—causes outcomes for adult children, I
would need to not only document that there is a correlation between such
family-of-origin experiences, but that no other plausible factors could be the
common cause of any suboptimal outcomes. Rather, my analytic intention is far
more modest than that: to evaluate the presence of simple group differences,
and—with the addition of several control variables—to assess just how robust
such group differences are.
3. Results
3.1. Comparisons with still-intact, biological
families (IBFs)
Table 2 displays mean scores on 15 dichotomous
outcome variables which can be read as simple percentages, sorted by the eight
different family structure/experience groups described earlier. As in Table 3
and Table 4, numbers that appear in bold indicate that the group’s estimate is
statistically different from the young-adult children of IBFs, as discerned by
a basic T-test (p < 0.05). Numbers that appear with an asterisk (*) beside
it indicate that the group’s dichotomous variable estimate from a logistic
regression model (not shown) is statistically-significantly different from
IBFs, after controlling for respondent’s age, gender, race/ethnicity, level of
mother’s education, perceived family-of-origin’s income, experience with having
been bullied as a youth, and the “gay friendliness” of the respondent’s current
state of residence.
Table 2. Mean scores on select dichotomous
outcome variables, NFSS (can read as percentage: as in, 0.42 = 42%).
IBF (INTACT BIO FAMILY) LM (LESBIAN MOTHER) GF
(GAY FATHER) ADOPTED BY
STRANGERS DIVORCED LATE
(>18) STEPFAMILY SINGLE-PARENT ALL OTHER
Currently married 0.43 0.36 0.35 0.41 0.36* 0.41 0.37 0.39
Currently cohabiting 0.09 0.24* 0.21 0.07^ 0.31* 0.19* 0.19* 0.13
Family received welfare growing up 0.17 0.69* 0.57* 0.12^ 0.47*^ 0.53*^ 0.48*^ 0.35^
Currently on public assistance 0.10 0.38* 0.23 0.27* 0.31* 0.30* 0.30* 0.23*
Currently employed full-time 0.49 0.26* 0.34 0.41 0.42 0.47^ 0.43^ 0.39
Currently unemployed 0.08 0.28* 0.20 0.22* 0.15 0.14 0.13^ 0.15
Voted in last presidential election 0.57 0.41 0.73*^ 0.58 0.63^ 0.57^ 0.51 0.48
Thought recently about suicide 0.05 0.12 0.24* 0.07 0.08 0.10 0.05 0.09
Recently or currently in therapy 0.08 0.19* 0.19 0.22* 0.12 0.17* 0.13* 0.09
Identifies as entirely heterosexual 0.90 0.61* 0.71* 0.82^ 0.83^ 0.81*^ 0.83*^ 0.82*^
Is in a same-sex romantic relationship 0.04 0.07 0.12 0.23 0.05 0.13* 0.03 0.02
Had affair while married/cohabiting 0.13 0.40* 0.25 0.20 0.12^ 0.32* 0.19^ 0.16^
Has ever had an STI 0.08 0.20* 0.25* 0.16 0.12 0.16* 0.14* 0.08
Ever touched sexually by parent/adult 0.02 0.23* 0.06^ 0.03^ 0.10* 0.12* 0.10* 0.08*^
Ever forced to have sex against will 0.08 0.31* 0.25* 0.23* 0.24* 0.16* 0.16*^ 0.11^
Bold indicates the mean scores displayed are
statistically-significantly different from IBFs (currently intact, bio
mother/father household, column 1), without additional controls.An asterisk (*)
next to the estimate indicates a statistically-significant difference (p <
0.05) between the group’s coefficient and that of IBF’s, controlling for
respondent’s age, gender, race/ethnicity, level of mother’s education,
perceived household income while growing up, experience being bullied as a
youth, and state’s legislative gay-friendliness, derived from logistic
regression models (not shown).A caret (^) next to the estimate indicates a
statistically-significant difference (p < 0.05) between the group’s mean and
the mean of LM (column 2), without additional controls.
Table 3. Mean scores on select continuous
outcome variables, NFSS.
IBF (INTACT BIO FAMILY) LM (LESBIAN MOTHER) GF
(GAY FATHER) ADOPTED BY
STRANGERS DIVORCED LATE
(>18) STEPFAMILY SINGLE- PARENT ALL OTHER
Educational attainment 3.19 2.39* 2.64* 3.21^ 2.88*^ 2.64* 2.66* 2.54*
Family-of-origin safety/security 4.13 3.12* 3.25* 3.77*^ 3.52* 3.52*^ 3.58*^ 3.77*^
Family-of-origin negative impact 2.30 3.13* 2.90* 2.83* 2.96* 2.76* 2.78* 2.64*^
Closeness to biological mother 4.17 4.05 3.71* 3.58 3.95 4.03 3.85* 3.97
Closeness to biological father 3.87 3.16 3.43 -- 3.29* 3.65 3.24* 3.61
Self-reported physical health 3.75 3.38 3.58 3.53 3.46 3.49 3.43* 3.41
Self-reported overall happiness 4.16 3.89 3.72 3.92 4.02 3.87* 3.93 3.83
CES-D depression index 1.83 2.20* 2.18* 1.95 2.01 1.91^ 1.89^ 1.94^
Attachment scale (depend) 2.82 3.43* 3.14 3.12* 3.08^ 3.10*^ 3.05^ 3.02^
Attachment scale (anxiety) 2.46 2.67 2.66 2.66 2.71 2.53 2.51 2.56
Impulsivity scale 1.90 2.03 2.02 1.85 1.94 1.86^ 1.82^ 1.89
Level of household income 8.27 6.08 7.15 7.93^ 7.42^ 7.04 6.96 6.19*
Current relationship quality index 4.11 3.83 3.63* 3.79 3.95 3.80* 3.95 3.94
Current relationship is in trouble 2.04 2.35 2.55* 2.35 2.43 2.35* 2.26* 2.15
Bold indicates the mean scores displayed are
statistically-significantly different from IBFs (currently intact, bio
mother/father household, column 1), without additional controls.An asterisk (*)
next to the estimate indicates a statistically-significant difference (p <
0.05) between the group’s coefficient and that of IBF’s, controlling for
respondent’s age, gender, race/ethnicity, level of mother’s education,
perceived household income while growing up, experience being bullied as a
youth, and state’s legislative gay-friendliness, derived from OLS regression
models (not shown).A caret (^) next to the estimate indicates a
statistically-significant difference (p < 0.05) between the group’s mean and
the mean of LM (column 2), without additional controls.
Table 4. Mean scores on select event-count
outcome variables, NFSS.
IBF (INTACT BIO FAMILY) LM (LESBIAN MOTHER) GF
(GAY FATHER) ADOPTED BY
STRANGERS DIVORCED LATE
(>18) STEPFAMILY SINGLE- PARENT ALL OTHER
Frequency of marijuana use 1.32 1.84* 1.61 1.33^ 2.00* 1.47 1.73* 1.49
Frequency of alcohol use 2.70 2.37 2.70 2.74 2.55 2.50 2.66 2.44
Frequency of drinking to get drunk 1.68 1.77 2.14 1.73 1.90 1.68 1.74 1.64
Frequency of smoking 1.79 2.76* 2.61* 2.34* 2.44* 2.31* 2.18* 1.91^
Frequency of watching TV 3.01 3.70* 3.49 3.31 3.33 3.43* 3.25 2.95^
Frequency of having been arrested 1.18 1.68* 1.75* 1.31^ 1.38 1.38*^ 1.35*^ 1.34*^
Frequency pled guilty to non-minor offense 1.10 1.36* 1.41* 1.19 1.30 1.21* 1.17*^ 1.17^
N of female sex partners (among women) 0.22 1.04* 1.47* 0.47^ 0.96* 0.47*^ 0.52*^ 0.33^
N of female sex partners (among men) 2.70 3.46 4.17 3.24 3.66 3.85* 3.23 3.37
N of male sex partners (among women) 2.79 4.02* 5.92* 3.49 3.97* 4.57* 4.04* 2.91^
N of male sex partners (among men) 0.20 1.48* 1.47* 0.27 0.98* 0.55 0.42 0.44
Bold indicates the mean scores displayed are
statistically-significantly different from IBFs (currently intact, bio
mother/father household, column 1), without additional controls.An asterisk (*)
next to the estimate indicates a statistically-significant difference (p <
0.05) between the group’s coefficient and that of IBF’s, controlling for
respondent’s age, gender, race/ethnicity, level of mother’s education,
perceived household income while growing up, experience being bullied as a
youth, and state’s legislative gay-friendliness, derived from Poisson or
negative binomial regression models (not shown).A caret (^) next to the
estimate indicates a statistically-significant difference (p < 0.05) between
the group’s mean and the mean of LM (column 2), without additional controls.
At a glance, the number of
statistically-significant differences between respondents from IBFs and
respondents from the other seven types of family structures/experiences is
considerable, and in the vast majority of cases the optimal outcome—where one
can be readily discerned—favors IBFs. Table 2 reveals 10 (out of 15 possible)
statistically-significant differences in simple t-tests between IBFs and LMs
(the pool of respondents who reported that their mother has had a lesbian
relationship), one higher than the number of simple differences (9) between
IBFs and respondents from both single-parent and stepfamilies. All but one of
those associations is significant in logistic regression analyses contrasting
LMs and IBFs (the omitted category).
Beginning at the top of Table 2, the marriage
rates of LMs and GFs (those who reported that their father had a gay
relationship) are statistically comparable to IBFs, while LMs’ cohabitation
rate is notable higher than IBFs’ (24% vs. 9%, respectively). Sixty-nine (69)
percent of LMs and 57% of GFs reported that their family received public
assistance at some point while growing up, compared with 17% of IBFs; 38% of
LMs said they are currently receiving some form of public assistance, compared
with 10% of IBFs. Just under half of all IBFs reported being employed full-time
at present, compared with 26% of LMs. While only 8% of IBF respondents said
they were currently unemployed, 28% of LM respondents said the same. LMs were
statistically less likely than IBFs to have voted in the 2008 presidential
election (41% vs. 57%), and more than twice as likely—19% vs. 8%—to report
being currently (or within the past year) in counseling or therapy “for a
problem connected with anxiety, depression, relationships, etc.,” an outcome
that was significantly different after including control variables.
In concurrence with several studies of late,
the NFSS reveals that the children of lesbian mothers seem more open to
same-sex relationships ( [Biblarz and Stacey, 2010], [Gartrell et al., 2011a],
[Gartrell et al., 2011b] and [Golombok et al., 1997]). Although they are not
statistically different from most other groups in having a same-sex
relationship at present, they are much less apt to identify entirely as
heterosexual (61% vs. 90% of respondents from IBFs). The same was true of GF
respondents—those young adults who said their father had a relationship with
another man: 71% of them identified entirely as heterosexual. Other sexual
differences are notable among LMs, too: a greater share of daughters of lesbian
mothers report being “not sexually attracted to either males or females” than
among any other family-structure groups evaluated here (4.1% of female LMs,
compared to 0.5% of female IBFs, not shown in Table 2). Exactly why the
young-adult children of lesbian mothers are more apt to experience same-sex attraction
and behaviors, as well as self-report asexuality, is not clear, but the fact
that they do seems consistent across studies. Given that lower rates of
heterosexuality characterize other family structure/experience types in the
NFSS, as Table 2 clearly documents, the answer is likely located not simply in
parental sexual orientation but in successful cross-sex relationship role
modeling, or its absence or scarcity.
Sexual conduct within their romantic
relationships is also distinctive: while 13% of IBFs reported having had a
sexual relationship with someone else while they were either married or
cohabiting, 40% of LMs said the same. In contrast to [Gartrell et al., 2011a]
and [Gartrell et al., 2011b] recent, widely-disseminated conclusions about the
absence of sexual victimization in the NLLFS data, 23% of LMs said yes when
asked whether “a parent or other adult caregiver ever touched you in a sexual
way, forced you to touch him or her in a sexual way, or forced you to have
sexual relations,” while only 2% of IBFs responded affirmatively. Since such
reports are more common among women than men, I split the analyses by gender
(not shown). Among female respondents, 3% of IBFs reported parental (or adult
caregiver) sexual contact/victimization, dramatically below the 31% of LMs who
reported the same. Just under 10% of female GFs responded affirmatively to the
question, an estimate not significantly different from the IBFs.
It is entirely plausible, however, that sexual
victimization could have been at the hands of the LM respondents’ biological
father, prompting the mother to leave the union and—at some point in the
future—commence a same-sex relationship. Ancillary (unweighted) analyses of the
NFSS, which asked respondents how old they were when the first incident
occurred (and can be compared to the household structure calendar, which
documents who lived in their household each year up until age 18) reveal this
possibility, up to a point: 33% of those LM respondents who said they had been
sexually victimized by a parent or adult caregiver reported that they were also
living with their biological father in the year that the first incident
occurred. Another 29% of victimized LMs reported never having lived with their
biological father at all. Just under 34% of LM respondents who said they had at
some point lived with their mother’s same-sex partner reported a first-time
incident at an age that was equal to or higher than when they first lived with
their mother’s partner. Approximately 13% of victimized LMs reported living
with a foster parent the year when the first incident occurred. In other words,
there is no obvious trend to the timing of first victimization and when the
respondent may have lived with their biological father or their mother’s
same-sex partner, nor are we suggesting by whom the respondent was most likely
victimized. Future exploration of the NFSS’s detailed household structure
calendar offers some possibility for clarification.
The elevated LM estimate of sexual
victimization is not the only estimate of increased victimization. Another more
general question about forced sex, “Have you ever been physically forced to
have any type of sexual activity against your will” also displays significant
differences between IBFs and LMs (and GFs). The question about forced sex was
asked before the question about sexual contact with a parent or other adult and
may include incidents of it but, by the numbers, clearly includes additional
circumstances. Thirty-one percent of LMs indicated they had, at some point in
their life, been forced to have sex against their will, compared with 8% of
IBFs and 25% of GFs. Among female respondents, 14% of IBFs reported forced sex,
compared with 46% of LMs and 52% of GFs (both of the latter estimates are
statistically-significantly different from that reported by IBFs).
While I have so far noted several distinctions
between IBFs and GFs—respondents who said their father had a gay
relationship—there are simply fewer statistically-significant distinctions to
note between IBFs and GFs than between IBFs and LMs, which may or may not be
due in part to the smaller sample of respondents with gay fathers in the NFSS,
and the much smaller likelihood of having lived with their gay father while he
was in a same-sex relationship. Only six of 15 measures in Table 2 reveal
statistically-significant differences in the regression models (but only one in
a bivariate environment). After including controls, the children of a gay
father were statistically more apt (than IBFs) to receive public assistance
while growing up, to have voted in the last election, to have thought recently
about committing suicide, to ever report a sexually-transmitted infection, have
experienced forced sex, and were less likely to self-identify as entirely
heterosexual. While other outcomes reported by GFs often differed from IBFs,
statistically-significant differences were not as regularly detected.
Although my attention has been primarily
directed at the inter-group differences between IBFs, LMs, and GFs, it is worth
noting that LMs are hardly alone in displaying numerous differences with IBFs.
Respondents who lived in stepfamilies or single-parent families displayed nine
simple differences in Table 2. Besides GFs, adopted respondents displayed the
fewest simple differences (three).
Table 3 displays mean scores on 14 continuous
outcomes. As in Table 2, bold indicates simple statistically-significant
outcome differences with young-adult respondents from still-intact, biological
families (IBFs) and an asterisk indicates a regression coefficient (models not
shown) that is significantly different from IBFs after a series of controls.
Consistent with Table 2, eight of the estimates for LMs are statistically
different from IBFs. Five of the eight differences are significant as
regression estimates. The young-adult children of women who have had a lesbian
relationship fare worse on educational attainment, family-of-origin
safety/security, negative impact of family-of-origin, the CES-D (depression)
index, one of two attachment scales, report worse physical health, smaller
household incomes than do respondents from still-intact biological families,
and think that their current romantic relationship is in trouble more
frequently.
The young-adult GF respondents were likewise
statistically distinct from IBF respondents on seven of 14 continuous outcomes,
all of which were significantly different when evaluated in regression models.
When contrasted with IBFs, GFs reported more modest educational attainment,
worse scores on the family-of-origin safety/security and negative impact
indexes, less closeness to their biological mother, greater depression, a lower
score on the current (romantic) relationship quality index, and think their
current romantic relationship is in trouble more frequently.
As in Table 2, respondents who reported living
in stepfamilies or in single-parent households also exhibit numerous simple
statistical differences from IBFs—on nine and 10 out of 14 outcomes,
respectively—most of which remain significant in the regression models. On only
four of 14 outcomes do adopted respondents appear distinctive (three of which
remain significant after introducing controls).
Table 4 displays mean scores on nine event
counts, sorted by the eight family structure/experience groups. The NFSS asked
all respondents about experience with male and female sexual partners, but I
report them here separately by gender. LM respondents report statistically
greater marijuana use, more frequent smoking, watch television more often, have
been arrested more, pled guilty to non-minor offenses more, and—among
women—report greater numbers of both female and male sex partners than do IBF
respondents. Female LMs reported an average of just over one female sex partner
in their lifetimes, as well as four male sex partners, in contrast to female
IBFs (0.22 and 2.79, respectively). Male LMs report an average of 3.46 female
sex partners and 1.48 male partners, compared with 2.70 and 0.20, respectively,
among male IBFs. Only the number of male partners among men, however, displays
significant differences (after controls are included).
Among GFs, only three bivariate distinctions
appear. However, six distinctions emerge after regression controls: they are
more apt than IBFs to smoke, have been arrested, pled guilty to non-minor
offenses, and report more numerous sex partners (except for the number of
female sex partners among male GFs). Adopted respondents display no simple
differences from IBFs, while the children of stepfamilies and single parents
each display six significant differences with young adults from still-intact,
biological mother/father families.
Although I have paid much less attention to
most of the other groups whose estimates also appear in Table 2, Table 3 and
Table 4, it is worth noting how seldom the estimates of young-adult children
who were adopted by strangers (before age 2) differ statistically from the
children of still-intact biological families. They display the fewest simple
significant differences—seven—across the 40 outcomes evaluated here. Given that
such adoptions are typically the result of considerable self-selection, it
should not surprise that they display fewer differences with IBFs.
To summarize, then, in 25 of 40 outcomes, there
are simple statistically-significant differences between IBFs and LMs, those
whose mothers had a same-sex relationship. After controls, there are 24 such
differences. There are 24 simple differences between IBFs and stepfamilies, and
24 statistically-significant differences after controls. Among single
(heterosexual) parents, there are 25 simple differences before controls and 21
after controls. Between GFs and IBFs, there are 11 and 19 such differences,
respectively.
3.2. Summary of differences between LMs and
other family structures/experiences
Researchers sometimes elect to evaluate the
outcomes of children of gay and lesbian parents by comparing them not directly
to stable heterosexual marriages but to other types of households, since it is
often the case—and it is certainly true of the NFSS—that a gay or lesbian
parent first formed a heterosexual union prior to “coming out of the closet,”
and witnessing the dissolution of that union (Tasker, 2005). So comparing the
children of such parents with those who experienced no union dissolution is arguably
unfair. The NFSS, however, enables researchers to compare outcomes across a
variety of other types of family-structural history. While I will not explore
in-depth here all the statistically-significant differences between LMs, GFs,
and other groups besides IBFs, a few overall observations are merited.
Of the 239 possible between-group differences
here—not counting those differences with Group 1 (IBFs) already described
earlier—the young-adult children of lesbian mothers display 57 (or 24% of total
possible) that are significant at the p < 0.05 level (indicated in Table 2,
Table 3 and Table 4 with a caret), and 44 (or 18% of total) that are
significant after controls (not shown). The majority of these differences are
in suboptimal directions, meaning that LMs display worse outcomes. The
young-adult children of gay men, on the other hand, display only 11 (or 5% of
total possible) between-group differences that are statistically significant at
the p < 0.05 level, and yet 24 (or 10% of total) that are significant after
controls (not shown).
In the NFSS, then, the young-adult children of
a mother who has had a lesbian relationship display more significant
distinctions with other respondents than do the children of a gay father. This
may be the result of genuinely different experiences of their family transitions,
the smaller sample size of children of gay men, or the comparatively-rarer
experience of living with a gay father (only 42% of such respondents reported
ever living with their father while he was in a same-sex relationship, compared
with 91% who reported living with their mother while she was in a same-sex
relationship).
4. Discussion
Just how different are the adult children of
men and women who pursue same-sex romantic (i.e., gay and lesbian)
relationships, when evaluated using population-based estimates from a random
sample? The answer, as might be expected, depends on to whom you compare them.
When compared with children who grew up in biologically (still) intact,
mother–father families, the children of women who reported a same-sex
relationship look markedly different on numerous outcomes, including many that
are obviously suboptimal (such as education, depression, employment status, or
marijuana use). On 25 of 40 outcomes (or 63%) evaluated here, there are
bivariate statistically-significant (p < 0.05) differences between children
from still-intact, mother/father families and those whose mother reported a
lesbian relationship. On 11 of 40 outcomes (or 28%) evaluated here, there are
bivariate statistically-significant (p < 0.05) differences between children
from still-intact, mother/father families and those whose father reported a gay
relationship. Hence, there are differences in both comparisons, but there are
many more differences by any method of analysis in comparisons between
young-adult children of IBFs and LMs than between IBFs and GFs.
While the NFSS may best capture what might be
called an “earlier generation” of children of same-sex parents, and includes
among them many who witnessed a failed heterosexual union, the basic
statistical comparisons between this group and those of others, especially
biologically-intact, mother/father families, suggests that notable differences
on many outcomes do in fact exist. This is inconsistent with claims of “no
differences” generated by studies that have commonly employed far more narrow
samples than this one.
Goldberg (2010) aptly asserts that many
existing studies were conducted primarily comparing children of heterosexual
divorced and lesbian divorced mothers, potentially leading observers to
erroneously attribute to parental sexual orientation the corrosive effects of
enduring parental divorce. Her warning is well-taken, and it is one that the
NFSS cannot entirely mitigate. Yet when compared with other young adults who
experienced household transitions and who witnessed parents forming new
romantic relationships—for example, stepfamilies—the children of lesbian
mothers looked (statistically) significantly different just under 25% of the
time (and typically in suboptimal directions). Nevertheless, the children of
mothers who have had same-sex relationships are far less apt to differ from
stepfamilies and single parents than they are from still-intact biological
families.
Why the divergence between the findings in this
study and those from so many previous ones? The answer lies in part with the
small or nonprobability samples so often relied upon in nearly all previous
studies—they have very likely underestimated the number and magnitude of real
differences between the children of lesbian mothers (and to a lesser extent,
gay fathers) and those raised in other types of households. While the
architects of such studies have commonly and appropriately acknowledged their
limitations, practically—since they are often the only studies being
conducted—their results are treated as providing information about gay and
lesbian household experiences in general. But this study, based on a rare large
probability sample, reveals far greater diversity in the experience of lesbian
motherhood (and to a lesser extent, gay fatherhood) than has been acknowledged
or understood.
Given that the characteristics of the NFSS’s
sample of children of LMs and GFs are close to estimates of the same offered by
demographers using the American Community Study, one conclusion from the
analyses herein is merited: the sample-selection bias problem in very many
studies of gay and lesbian parenting is not incidental, but likely profound,
rendering the ability of much past research to offer valid interpretations of
average household experiences of children with a lesbian or gay parent suspect
at best. Most snowball-sample-based research has, instead, shed light on
above-average household experiences.
While studies of family structure often locate
at least modest benefits that accrue to the children of married biological
parents, some scholars attribute much of the benefit to socioeconomic-status
differences between married parents and those parents in other types of
relationships (Biblarz and Raftery, 1999). While this is likely true of the
NFSS as well, the results presented herein controlled not only for
socioeconomic status differences between families of origin, but also
political-geographic distinctions, age, gender, race/ethnicity, and the
experience of having been bullied (which was reported by 53% of LMs but only
35% of IBFs).
To be sure, those NFSS respondents who reported
that a parent of theirs had had a romantic relationship with a member of the
same sex are a very diverse group: some experienced numerous household
transitions, and some did not. Some of their parents may have remained in a
same-sex relationship, while others did not. Some may self-identify as lesbian
or gay, while others may not. I did not explore in detail the diversity of
household experiences here, given the overview nature of this study. But the
richness of the NFSS—which has annual calendar data for household transitions
from birth to age 18 and from age 18 to the present—allows for closer
examination of many of these questions.
Nevertheless, to claim that there are few
meaningful statistical differences between the different groups evaluated here
would be to state something that is empirically inaccurate. Minimally, the
population-based estimates presented here suggest that a good deal more
attention must be paid to the real diversity among gay and lesbian parent
experiences in America, just as it long has been among heterosexual households.
Child outcomes in stable, “planned” GLB families and those that are the product
of previous heterosexual unions are quite likely distinctive, as previous
studies’ conclusions would suggest. Yet as demographers of gay and lesbian
America continue to note—and as the NFSS reinforces—planned GLB households only
comprise a portion (and an unknown one at that) of all GLB households with children.
Even if the children in planned GLB families
exhibit better outcomes than those from failed heterosexual unions, the former
still exhibits a diminished context of kin altruism (like adoption,
step-parenting, or nonmarital childbirth), which have typically proven to be a
risk setting, on average, for raising children when compared with married,
biological parenting (Miller et al., 2000). In short, if same-sex parents are
able to raise children with no differences, despite the kin distinctions, it would
mean that same-sex couples are able to do something that heterosexual couples
in step-parenting, adoptive, and cohabiting contexts have themselves not been
able to do—replicate the optimal childrearing environment of married,
biological-parent homes (Moore et al., 2002). And studies focusing on parental
roles or household divisions of labor in planned GLB families will fail to
reveal—because they have not measured it—how their children fare as adults.
The between-group comparisons described above
also suggest that those respondents with a lesbian mother and those with a gay
father do not always exhibit comparable outcomes in young adulthood. While the
sample size of gay fathers in the NFSS was modest, any monolithic ideas about
same-sex parenting experiences in general are not supported by these analyses.
Although the NFSS offers strong support for the
notion that there are significant differences among young adults that
correspond closely to the parental behavior, family structures, and household
experiences during their youth, I have not and will not speculate here on
causality, in part because the data are not optimally designed to do so, and
because the causal reckoning for so many different types of outcomes is well
beyond what an overview manuscript like this one could ever purport to
accomplish. Focused (and more complex) analyses of unique outcomes, drawing
upon idiosyncratic, domain-specific conceptual models, is recommended for
scholars who wish to more closely assess the functions that the number, gender,
and sexual decision-making of parents may play in young adults’ lives. I am
thus not suggesting that growing up with a lesbian mother or gay father causes
suboptimal outcomes because of the sexual orientation or sexual behavior of the
parent; rather, my point is more modest: the groups display numerous, notable
distinctions, especially when compared with young adults whose biological
mother and father remain married.
There is more that this article does not
accomplish, including closer examinations of subpopulations, consideration of
more outcomes and comparisons between other groups, and stronger tests of
statistical significance—such as multiple regression with more numerous
independent variables, or propensity score matching. That is what the NFSS is
designed to foster. This article serves as a call for such study, as well as an
introduction to the data and to its sampling and measurement strengths and
abilities. Future studies would optimally include a more significant share of
children from planned gay families, although their relative scarcity in the
NFSS suggests that their appearance in even much larger probability samples
will remain infrequent for the foreseeable future. The NFSS, despite
significant efforts to randomly over-sample such populations, nevertheless was
more apt to survey children whose parents exhibited gay and lesbian
relationship behavior after being in a heterosexual union. This pattern may remain
more common today than many scholars suppose.
5. Conclusion
As scholars of same-sex parenting aptly note,
same-sex couples have and will continue to raise children. American courts are
finding arguments against gay marriage decreasingly persuasive (Rosenfeld,
2007). This study is intended to neither undermine nor affirm any legal rights
concerning such. The tenor of the last 10 years of academic discourse about gay
and lesbian parents suggests that there is little to nothing about them that
might be negatively associated with child development, and a variety of things
that might be uniquely positive. The results of analyzing a rare large
probability sample reported herein, however, document numerous, consistent
differences among young adults who reported maternal lesbian behavior (and to a
lesser extent, paternal gay behavior) prior to age 18. While previous studies
suggest that children in planned GLB families seem to fare comparatively well,
their actual representativeness among all GLB families in the US may be more
modest than research based on convenience samples has presumed.
Although the findings reported herein may be
explicable in part by a variety of forces uniquely problematic for child
development in lesbian and gay families—including a lack of social support for
parents, stress exposure resulting from persistent stigma, and modest or absent
legal security for their parental and romantic relationship statuses—the
empirical claim that no notable differences exist must go. While it is certainly
accurate to affirm that sexual orientation or parental sexual behavior need
have nothing to do with the ability to be a good, effective parent, the data
evaluated herein using population-based estimates drawn from a large,
nationally-representative sample of young Americans suggest that it may affect
the reality of family experiences among a significant number.
Do children need a married mother and father to
turn out well as adults? No, if we observe the many anecdotal accounts with
which all Americans are familiar. Moreover, there are many cases in the NFSS
where respondents have proven resilient and prevailed as adults in spite of
numerous transitions, be they death, divorce, additional or diverse romantic
partners, or remarriage. But the NFSS also clearly reveals that children appear
most apt to succeed well as adults—on multiple counts and across a variety of
domains—when they spend their entire childhood with their married mother and
father, and especially when the parents remain married to the present day.
Insofar as the share of intact, biological mother/father families continues to
shrink in the United States, as it has, this portends growing challenges within
families, but also heightened dependence on public health organizations,
federal and state public assistance, psychotherapeutic resources, substance use
programs, and the criminal justice system.
Appendix A. Comparison of weighted NFSS results
with parallel national survey results on selected demographic and lifestyle
variables, US adults (in percentages)
NFSS 2011, N = 941 (18–23) NSYR 2007–2008, N = 2520 (18–23) NFSS 2011, N = 1123 (24–32) ADD HEALTH 2007–2008, N = 15,701 (24–32) NFSS 2011, N = 2988 (18–39) NSFG 2006–2010, N = 16,851 (18–39) CPS ASEC 2011, N = 58,788 (18–39)
Gender
Male 52.6 48.3 47.3 50.6 49.4 49.8 50.4
Female 47.4 51.7 52.8 49.4 50.6 50.2 49.6
Age
18–23 28.9 28.6 28.2
24–32 41.2 40.6 42.1
33–39 29.9 30.9 29.8
Race/ethnicity
White, NH 54.2 68.3 60.2 69.2 57.7 61.6 59.6
Black, NH 11.0 15.0 13.0 15.9 12.6 13.3 13.2
Hispanic 24.9 11.2 20.7 10.8 20.8 18.6 19.5
Other (or multiple), NH 10.0 5.5 6.2 4.2 8.9 6.5 7.8
Region
Northeast 18.9 11.8 16.5 17.6 17.5
Midwest 18.7 25.6 23.3 21.1 21.2
South 34.3 39.1 39.6 36.7 37.0
West 28.2 23.5 20.6 24.6 24.4
Mother’s education (BA or above) 28.4 33.3 24.6 21.9 25.3 22.2
Respondent’s education (BA or above) 5.3 3.8 33.7 30.0 26.5 24.2
Household income (current)
Under $10,000 21.0 9.7 5.6 11.9 9.5 5.7
$10,000–19,999 13.3 9.1 6.9 9.2 13.1 7.4
$20,000–29,999 11.6 10.3 10.1 10.5 13.5 9.5
$30,000–39,999 8.0 11.0 11.1 9.6 13.4 9.4
$40,000–49,999 6.5 12.8 11.8 9.9 8.5 9.1
$50,000–74,999 14.9 22.3 24.3 19.2 19.5 20.3
$75,000 or more 24.7 24.9 30.2 29.8 22.7 38.6
Ever had sex 66.5 75.6 90.6 93.9 85.6 91.2
Never been married 89.3 92.8 45.7 50.0 51.7 52.3 54.4
Currently married 8.0 6.9 44.9 44.6 40.6 39.2 37.9
Church attendance
Once a week or more 18.4 20.2 22.1 16.0 22.3 26.2
Never 32.3 35.6 31.2 32.1 31.7 25.8
Not religious 21.1 24.7 22.5 20.2 22.0 21.7
Self-reported health
Poor 1.8 1.5 1.0 1.2 1.5 0.7
Fair 8.4 9.2 11.0 7.9 10.7 5.3
Good 28.7 26.7 37.6 33.5 33.9 24.9
Very Good 39.6 37.5 35.7 38.2 37.3 40.9
Excellent 21.5 25.2 14.8 19.1 16.7 28.3
Never drinks alcohol 30.5 21.9 22.4 26.1 25.4 18.7
Appendix B. Construction of outcome indexes
B.1. CES-D (depression) index (8 items, α = 0.87)
Respondents were asked to think about the past
7 days, and assess how often each of the following things were true about them.
Answer categories ranged from “never or rarely” (0) to “most of the time or all
of the time” (3). Some items were reverse-coded for the index variable (e.g.,
“You felt happy.”):
1.
You were bothered by things that usually do not
bother you.
2.
You could not shake off the blues, even with
help from your family and your friends.
3.
You felt you were just as good as other people.
4.
You had trouble keeping your mind on what you
were doing.
5.
You felt depressed.
6.
You felt happy.
7.
You enjoyed life.
8.
You felt sad.
B.2. Current romantic relationship quality (6
items, α = 0.96)
Respondents were asked to assess their current
romantic relationship. Answer categories ranged from strongly disagree (1) to
strongly agree (5):
1.
We have a good relationship.
2.
My relationship with my partner is very
healthy.
3.
Our relationship is strong.
4.
My relationship with my partner makes me happy.
5.
I really feel like part of a team with my
partner.
6.
Our relationship is pretty much perfect.
B.3. Family-of-origin relationship
safety/security (4 items, α = 0.90)
Respondents were asked to evaluate the overall
atmosphere in their family while growing up by responding to four statements
whose answer categories ranged from strongly disagree (1) to strongly agree
(5):
1.
My family relationships were safe, secure, and
a source of comfort.
2.
We had a loving atmosphere in our family.
3.
All things considered, my childhood years were
happy.
4.
My family relationships were confusing,
inconsistent, and unpredictable.
B.4. Family-of-origin negative impact (3 items,
α = 0.74)
Respondents were asked to evaluate the
present-day impact of their family-of-origin experiences by responding to three
statements whose answer categories ranged from strongly disagree (1) to
strongly agree (5):
1.
There are matters from my family experience
that I am still having trouble dealing with or coming to terms with.
2.
There are matters from my family experience
that negatively affect my ability to form close relationships.
3.
I feel at peace about anything negative that
happened to me in the family in which I grew up.
B.5. Impulsivity (4 items, α = 0.76)
Respondents were asked to respond to four
statements about their decision-making, especially as it concerns risk-taking
and new experiences. Answer categories ranged from 1 (never or rarely) to 4
(most or all of the time):
1.
When making a decision, I go with my ‘gut
feeling’ and do not think much about the consequences of each alternative.
2.
I like new and exciting experiences, even if I
have to break the rules.
3.
I am an impulsive person.
4.
I like to take risks.
B.6. Closeness to biological mother and father
(6 items, α = 0.89 and
0.92)
Respondents were asked to evaluate their
current relationship with up to four parent figures—who they reported living
with for at least 3 years when they were 0–18 years old—by reporting the
frequency of six parent–child interactions. For each parent figure, these six
items were coded and summed into a parental closeness index. From these, I
derived indices of closeness to the respondent’s biological mother and
biological father. Response categories ranged from never (1) to always (5):
1.
How often do you talk openly with your parent
about things that are important to you?
2.
How often does your parent really listen to you
when you want to talk?
3.
How often does your parent explicitly express
affection or love for you?
4.
Would your parent help you if you had a
problem?
5.
If you needed money, would you ask your parent
for it?
6.
How often is your parent interested in the
things you do?
B.7. Attachment (depend, 6 items, α = 0.80; anxiety, 6 items, α = 0.82)
For a pair of attachment measures, respondents
were asked to rate their general feelings about romantic relationships, both
past and present, in response to 12 items. Response categories ranged from “not
at all characteristic of me” (1) to “very characteristic of me” (5). Items 1–6
were coded and summed into a “depend” scale, with higher scores denoting
greater comfort with depending upon others. Items 7–12 were coded and summed
into an anxiety scale, with higher scores denoting greater anxiety in close
relationships, in keeping with the original Adult Attachment Scale developed by
Collins and Read (1990). The measures employed were:
1.
I find it difficult to allow myself to depend
on others.
2.
I am comfortable depending on others.
3.
I find that people are never there when you
need them.
4.
I know that people will be there when I need
them.
5.
I find it difficult to trust others completely.
6.
I am not sure that I can always depend on
others to be there when I need them.
7.
I do not worry about being abandoned.
8.
In relationships, I often worry that my partner
does not really love me.
9.
I find that others are reluctant to get as
close as I would like.
10.
In relationships, I often worry that my partner
will not want to stay with me.
11.
I want to merge completely with another person.
12.
My desire to merge sometimes scares people
away.
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Copyright © 2012 Elsevier Inc. All rights
reserved.
Same-sex parenting and
children’s outcomes: A closer examination of the American psychological
association’s brief on lesbian and gay parenting - http://www.sciencedirect.com/
Louisiana State University, 341 School of Human
Ecology, Baton Rouge, LA 70803, United States
Received 3 October 2011. Revised 8 March 2012.
Accepted 12 March 2012. Available online 10 June 2012.
Permissions & Reprints
Abstract
In 2005, the American Psychological Association
(APA) issued an official brief on lesbian and gay parenting. This brief included
the assertion: “Not a single study has found children of lesbian or gay parents
to be disadvantaged in any significant respect relative to children of
heterosexual parents” (p. 15). The present article closely examines this
assertion and the 59 published studies cited by the APA to support it. Seven
central questions address: (1) homogeneous sampling, (2) absence of comparison
groups, (3) comparison group characteristics, (4) contradictory data, (5) the
limited scope of children’s outcomes studied, (6) paucity of long-term outcome
data, and (7) lack of APA-urged statistical power. The conclusion is that
strong assertions, including those made by the APA, were not empirically
warranted. Recommendations for future research are offered.
Highlights
► A 26 of 59 APA studies on same-sex
parenting had no heterosexual comparison groups. ► In comparison studies,
single mothers were often used as the hetero comparison group. ► No comparison study had
the statistical power required to detect a small effect size. ► Definitive claims were
not substantiated by the 59 published studies.
Keywords
Same-sex parenting;
Lesbian;
1. Introduction
Over the past few decades, differences have
been observed between outcomes of children in marriage-based intact families
and children in cohabiting, divorced, step, and single-parent families in
large, representative samples.1 Based on four nationally representative
longitudinal studies with more than 20,000 total participants, McLanahan and
Sandefur conclude:
Children who grow up in a household with only
one biological parent are worse off, on average, than children who grow up in a
household with both of their biological parents…regardless of whether the
resident parent remarries.
2Differences have recurred in connection with
myriad issues of societal-level concern including: (a) health,3 mortality,4 and
suicide risks,5 (b) drug and alcohol abuse,6 (c) criminality and
incarceration,7 (d) intergenerational poverty,8 (e) education and/or labor
force contribution,9 (f) early sexual activity and early childbearing,10 and
(g) divorce rates as adults.11 These outcomes represent important impact
variables that influence the well-being of children and families, as well as
the national economy.
By way of comparison, social science research
with small convenience samples has repeatedly reported no significant
differences between children from gay/lesbian households and heterosexual
households. These recurring findings of no significant differences have led
some researchers and professional organizations to formalize related claims.
Perhaps none of these claims has been more influential than the following from
the 2005 American Psychological Association (APA) Brief on “Lesbian and Gay
Parenting”.12,13
Not a single study has found children of
lesbian or gay parents to be disadvantaged in any significant respect relative
to children of heterosexual parents.
Are we witnessing the emergence of a new family
form that provides a context for children that is equivalent to the traditional
marriage-based family? Many proponents of same-sex marriage contend that the
answer is yes. Others are skeptical and wonder—given that other departures from
the traditional marriage-based family form have been correlated with more
negative long-term child outcomes—do children in same-sex families demonstrably
avoid being “disadvantaged in any significant respect relative to children of
heterosexual parents” as the APA Brief asserts? This is a question with
important implications, particularly since the 2005 APA Brief on “Lesbian and
Gay Parenting” has been repeatedly invoked in the current same-sex marriage
debate.
2. Statement of purpose
The overarching question of this paper is: Are
the conclusions presented in the 2005 APA Brief on “Lesbian and Gay Parenting”
valid and precise, based on the cited scientific evidence?14 In the present
paper, seven questions relating to the cited scientific evidence are posed,
examined, and addressed.15
Two portions of the APA Brief are of particular
concern to us in connection with these questions: (a) the “Summary of Research
Findings” (pp. 5–22), and (b) the first and largest section of the annotated
bibliography, entitled “Empirical Studies Specifically Related to Lesbian and
Gay Parents and Their Children” (pp. 23–45). In the latter section (pp. 23–45),
the APA references 67 manuscripts. Eight of these studies are “unpublished
dissertations”.16 The 59 published studies are listed in Table 1 of this paper,
providing clear parameters from which to formulate responses to the seven
outlined questions, next.
Table 1. Publications Cited in APA brief on
lesbian and gay parenting (pp. 23–45).
AUTHOR AND YEAR GAYLES
N HETERO N STAT USED COHEN N STAT
POWER OUTCOME STUDIED HETERO COMPAR GROUP
Bailey et al. (1995) 55par; 82chl 0 T-test/Chi 393 N/A Sexual orientation None
Barrett and Tasker (2001) 101 0 T-test/Chi 393 N/A Child responses to a gay parent None
Bigner and Jacobsen (1989a) 33 33 T-test 393 No Parents reports of values of children Fathers
Bigner and Jacobsen (1989b) 33 33 T-test 393 No Parent reports of parent behavior Fathers
Bos et al. (2003) 100 100 MANOVA 393 No Parental
motives and desires Families
Bos et al. (2004) 100 100 MANOVA 393 No Parent
reports of couple relations Families
Bozett (1980) 18 0 Qualitative N/A N/A Father disclosure of homosexuality None
Brewaeys et al. (1997) 30 68 ANOVA 393 No Emotional/gender
development DI/Non-DI Couples
Chan et al. (1998a) 30 16 Various 393 No Division of labor/child adjustment DI Couples
Chan et al. (1998b) 55 25 Various 393 Reported Psychosocial adjustment DI Couples
Ciano-Boyce and Shelley-Sireci (2002) 67 44 ANOVA 393 No Division
of child care Adoptive Parents
Crawford et al. (1999) 0 0 MANOVA 393 N/A 388 Psychologists’ attitudes N/A
Flaks et al. (1995) 15 15 MANOVA 393 No Cognitive/behavioral/parenting Married Couples
Fulcher et al. (2002) 55 25 T-test/Chi 393 Reported DI/adult-child relationships Parents
Gartrell et al. (1996) 154 0 Descript. N/A N/A Prospective Parent Reports None
Gartrell et al. (1999) 156 0 Descript. N/A N/A Reports on parenting issues None
Gartrell et al. (2000) 150 0 Descript. N/A N/A Reports on parenting issues None
Gartrell et al. (2005) 74 0 Descript. N/A N/A Health, school/education None
Gershon et al. (1999) 76 0 Reg. 390 N/A Adolescent coping None
Golombok et al. (1983) 27 27 T-test/Chi 393 No Psychosexual development Single mother families
Golombok et al. (2003) 39 134 Various 393 No Socioemotional
dev./relations Couples & singles
Golombok and Rust (1993) N/A N/A N/A N/A N/A Reliability
testing of a pre-school gender inventory
Golombok and Tasker (1996) 25 21 Pearson 783 Reported Sexual orientation Children of single mothers
Golombok et al. (1997) 30 83 MANOVA 393 No. Parent–child interactions Couples
& singles
Green (1978) 37 0 Descript. N/A N/A Sexual identity None
Green et al. (1986) 50par; 56chl 40par;
48chl Various 390 No Sexual identity/social relations Single mothers
Harris and Turner (1986) 23 16 ANOVA/Chi 393 No Sex roles/relationship with child Single moth. & fath.
Hoeffer (1981) 20 20 ANOVA 393 No Sex-role
behavior Single mothers
Huggins (1989) 18 18 T-test 393 No Self-esteem of adolescent children Divorced mothers
Johnson and O’Connor (2002) 415 0 Various N/A No Parenting beliefs/division of
labor/etc. None
King and Black (1999) N/A N/A F 393 N/A 338
College students’ perceptions N/A
Kirkpatrick et al. (1981) 20 20 Descript. N/A No Gender development Single mothers
Koepke et al. (1992) 47 couples 0 MANOVA N/A N/A Relationship quality None
Kweskin and Cook, 1982 22 22 Chi-Sqr 785 No Sex-role behavior Single mothers
Lewis, 1980 21 0 Qualitative N/A N/A Child response to m. disclosure None
Lott-Whitehead and Tully, 1993 45 0 Descriptive N/A N/A Adult reports of impacts on children None
Lyons, 1983 43 37 Descriptive N/A No Adult self-reports Divorced mothers
McLeod et al., 1999 0 0 Mult. regr. N/A No 151 College student reports N/A
Miller, 1979 54 0 Qualitative N/A N/A Father behavior & f-child bond None
Miller et al., 1981 34 47 Chi-Sqr 785 No Mother role/home environment Mothers
Morris et al., 2002 2431 0 MANCOVA N/A N/A Adult reports on “coming out” None
Mucklow and Phelan, 1979 34 47 Chi-Sqr 785 No Behavior and self-concept Married mothers
O’Connell, 1993 11 0 Qualitative N/A N/A Social and sexual identity None
Pagelow, 1980 20 23 Qual/Descr. N/A N/A Problems and coping Single mothers
Patterson (1994) 66 0 T-test 393 No Social/behavioral/sexual identity Available norms
Patterson (1995) 52 0 T-test/Chi/F 393 No Division of labor/child adjustment None
Patterson (2001) 66 0 Various 393 No Maternal mental health/child
adjustment None
Patterson et al., 1998 66 0 Various 393 No Contact w/grandparents & adults None
Rand et al. (1982) 25 0 Correlations 783 No Mothers’ psychological health None
Sarantakos, 1996 58 116 F-test 393 N/A Children’s
educational/social outcomes Married/non-married
Siegenthaler and Bigner, 2000 25 26 T-test 393 No Mothers’ value of children Mothers
Steckel (1987) (Review) N/A N/A N/A No Psychosocial development of children None
Sullivan, 1996 34
couples 0 Qualitative N/A N/A Division
of labor None
Tasker and Golombok, 1995 25 21 Pearson/T 783 No Psychosocial/sexual orientation Single mothers
Tasker and Golombok (1997) 27 27 Various 393 Reported Psychological outcomes/family rel. Single mothers
Tasker and Golombok (1998) 15 84 ANCOVA/Chi 785 N/A Work and family life DI & NC couples
Vanfraussen et al. (2003) 24 24 ANOVA 393 No Donor
insemination/family funct. Families
Wainwright et al. (2004) 44 44 Various 393 No Psychosocial/school/romantic Couples
Wright (1998) 5 0 Qualitative N/A N/A Family issues/processes/meaning None
N/A = Not applicable (e.g., In connection with
statistical power, qualitative studies and studies without heterosexual
comparison groups are coded as N/A).
2.1. Question 1: how representative and
culturally, ethnically, and economically diverse were the gay/lesbian
households in the published literature behind the APA brief?
In response to question 1, more than
three-fourths (77%) of the studies cited by the APA brief are based on small,
non-representative, convenience samples of fewer than 100 participants. Many of
the non-representative samples contain far fewer than 100 participants,
including one study with five participants (Wright, 1998; see Table 1). As
Strasser (2008) notes:
Members of the LGBT community…vary greatly in
their attitudes and practices. For this reason, it would be misleading to cite
a study of gay men in urban southern California as if they would represent gay
men nationally (p. 37).
By extension, it seems that influential claims
by national organizations should be based, at least partly, on research that is
nationally representative.
Lack of representativeness often entails lack
of diversity as well.17 A closer examination of the APA-cited literature from
the “Empirical Studies” (pp. 23–45) section of the APA Brief reveals a tendency
towards not only non-representative but racially homogeneous samples. For
example:
1.
“All of [the fathers in the sample] were
Caucasian” (Bozett, 1980, p. 173).
2.
“Sixty parents, all of whom were White”
comprised the sample (Flaks et al., 1995, p. 107).
3.
“[All 40] mothers…were white” (Hoeffer, 1981,
p. 537).
4.
“All the children, mothers, and fathers in the
sample were Caucasian” (Huggins, 1989, p. 126).
5.
“The 25 women were all white” (Rand et al.,
1982, p. 29).
6.
“All of the women…[were] Caucasian”
(Siegenthaler and Bigner, 2000, p. 82).
7.
“All of the birth mothers and co-mothers were
white” (Tasker and Golombok, 1998, p. 52).
8.
“All [48] parents were Caucasian” (Vanfraussen
et al., 2003, p. 81).
Many of the other studies do not explicitly
acknowledge all-White samples, but also do not mention or identify a single
minority participant—while a dozen others report “almost” all-white samples.18
Same-sex family researchers Lott-Whitehead and Tully (1993) cautiously added in
the discussion of their APA Brief-cited study:
Results from this study must be interpreted
cautiously due to several factors. First, the study sample was small (N = 45)
and biased toward well-educated, white women with high incomes. These factors
have plagued other [same-sex parenting] studies, and remain a concern of researchers
in this field (p. 275).
Similarly, in connection with this bias,
Patterson (1992), who would later serve as sole author of the 2005 APA Brief’s
“Summary of Research Findings on Lesbian and Gay Families”, reported19:
Despite the diversity of gay and lesbian
communities, both in the United States and abroad, samples of children [and
parents] have been relatively homogeneous…. Samples for which demographic
information was reported have been described as predominantly Caucasian,
well-educated, and middle to upper class.
In spite of the privileged and homogeneous
nature of the non-representative samples employed in the studies at that time,
Patterson’s (1992) conclusion was as follows20:
Despite shortcomings [in the studies], however,
results of existing research comparing children of gay or lesbian parents with
those of heterosexual parents are extraordinarily clear, and they merit
attention… There is no evidence to suggest that psychosocial development among
children of gay men or lesbians is compromised in any respect relative to that
among offspring of heterosexual parents.
Patterson’s conclusion in a 2000 review was
essentially the same21:
[C]entral results of existing research on
lesbian and gay couples and families with children are exceptionally clear….
[The] home environments provided by lesbian and gay parents are just as likely
as those provided by heterosexual parents to enable psychosocial growth among
family members.
Although eight years had passed, in this second
review, Patterson (2000) reported the continuing tendency of same-sex parenting
researchers to select privileged lesbian samples. Specifically, she summarized,
“Much of the research [still] involved small samples that are predominantly
White, well-educated [and] middle-class” (p. 1064).22 Given the privileged,
homogeneous, and non-representative samples of lesbian mothers employed in
“much of the research”, it seems warranted to propose that Patterson was
empirically premature to conclude that comparisons between “gay or lesbian
parents” and “heterosexual parents” were “extraordinarily clear”23 or
“exceptionally clear”.24
There is an additional point that warrants
attention here. In Patterson’s statements above, there are recurring references
to research on children of “gay” men/parents. In 2000, Demo and Cox reported
that “children living with gay fathers” was a “rarely studied household
configuration”.25In 2005, how many of the 59 published studies cited in the
APA’s list of “Empirical Studies Specifically Related to Lesbian and Gay Parents
and Their Children” (pp. 23–45) specifically addressed the outcomes of children
from gay fathers? A closer examination reveals that only eight studies did
so.26 Of these eight studies, four did not include a heterosexual comparison
group.27 In three of the four remaining studies (with heterosexual comparison
groups), the outcomes studied were:
(1)
“the value of children to…fathers” (Bigner and
Jacobsen, 1989a, p. 163);
(2)
“parenting behaviors of…fathers” (Bigner and
Jacobsen, 1989b, p. 173);
(3)
“problems” and “relationship with child”
(Harris and Turner, 1986, pp. 107–8).
The two [Bigner and Jacobsen, 1989a] and
[Bigner and Jacobsen, 1989b] studies focused on fathers’ reports of fathers’
values and behaviors, not on children’s outcomes—illustrating a recurring
tendency in the same-sex parenting literature to focus on the parent rather
than the child. Harris and Turner (1986) addressed parent–child relationships,
but their study’s male heterosexual comparison group was composed of two single
fathers. Although several studies have examined aspects of gay fathers’ lives,
none of the studies comparing gay fathers and heterosexual comparison groups
referenced in the APA Brief (pp. 23–45) appear to have specifically focused on
children’s developmental outcomes, with the exception of Sarantakos (1996), a
study to which we will later return.
In summary response to question 1 (“How
representative and culturally, ethnically, and economically diverse were the
gay/lesbian households in the published literature behind the APA Brief?”), we
see that in addition to relying primarily on small, non-representative,
convenience samples, many studies do not include any minority individuals or
families. Further, comparison studies on children of gay fathers are almost non-existent
in the 2005 Brief. By their own reports, social researchers examining same-sex
parenting have repeatedly selected small, non-representative, homogeneous
samples of privileged lesbian mothers to represent all same-sex parents. This
pattern across three decades of research raises significant questions regarding
lack of representativeness and diversity in the same-sex parenting studies.
2.2. Question 2: how many studies of
gay/lesbian parents had no heterosexual comparison group?
Of the 59 publications cited by the APA in the
annotated bibliography section entitled “Empirical Studies Specifically Related
to Lesbian and Gay Parents and Their Children” (pp. 23–45), 33 included a
heterosexual comparison group. In direct response to question 2, 26 of the
studies (44.1%) on same-sex parenting did not include a heterosexual comparison
group. In well-conducted science, it is important to have a clearly defined
comparison group before drawing conclusions regarding differences or the lack thereof.
We see that nearly half of the “Empirical Studies Specifically Related to
Lesbian and Gay Parents and Their Children” referenced in the APA Brief allowed
no basis for comparison between these two groups (see Table 1). To proceed with
precision, this fact does not negate the APA claim. It does, however, dilute it
considerably as we are left with not 59, but 33, relevant studies with
heterosexual comparison groups.
2.3. Question 3: when heterosexual comparison
groups were used, what were the more specific characteristics of those groups?
We now turn to a question regarding the nature
of comparison samples. Of the 33 published “Empirical Studies Specifically
Related to Lesbian and Gay Parents and Their Children” (APA Brief, pp. 23–45)
that did directly include a heterosexual comparison group, what were the more
specific characteristics of the groups that were compared? The earlier
examination and response related to question 1 documented that, by Patterson’s
reports, “Despite the diversity of gay and lesbian communities…in the United
States”,28 the repeatedly selected representatives of same-sex parents have
been “small samples [of lesbians] that are predominantly White, well-educated
[and] middle-class” (p. 1064).29
In spite of homogeneous sampling, there is
considerable diversity among gay and lesbian parents. Considerable diversity
exists among heterosexual parents as well. Indeed, the opening paragraph of the
present article noted recurring differences in several outcomes of societal
concern for children in marriage-based intact families compared with children
in cohabiting, divorced, step, and single-parent families.30 Many of the cited
findings are based on probability samples of thousands (see Table 2).
Table 2. Brief overview of 15 intact/divorce/step/single
family studies.
(N) Number
of reported participants
Probability Is
the study based on a probability sample?
Comp Grp Is
a probability sample used as a comparison group?
Long Does
the study employ measurements across time?
Key !
= Yes; X = No
a
National Survey of America’s Families (NSAF).
b
United Kingdom study and sample.
c
United Kingdom study and sample.
d
National Longitudinal Survey of Young Men and
Women (NLSY).
e
Virginia Longitudinal Study (VLS).
f
National Survey of Family Growth (NSFG).
g
Panel Study of Income Dynamics (PSID).
h
National Longitudinal Survey of Young Men and
Women (NLSY).
i
The High School and Beyond Study (HSBS).
j
National Survey of Families and Households
(NSFH).
k
This is the total original sample. The
sub-sample is unlisted but is likely smaller.
l
National Longitudinal Study of Adolescent
Health (Add Health).
m
National Longitudinal Survey of Young Men and
Women (NLSY).
n
Panel Study of Income Dynamics (PSID).
Because children in marriage-based intact
families have historically fared better than children in cohabiting, divorced,
step, or single-parent families on the above outcomes, the question of what
“groups” researchers selected to represent heterosexual parents in the same-sex
parenting studies becomes critical. A closer examination of the 33 published
same-sex parenting studies (APA Brief, pp. 23–45) with comparison groups,
listed chronologically, reveals that:
1.
Pagelow (1980) used “single mothers” as a comparison
group (p. 198).
2.
Hoeffer (1981) used “heterosexual single
mothers” (p. 537).
3.
Kirkpatrick et al. (1981) used “single,
heterosexual mothers” (p. 545).
4.
Kweskin and Cook (1982) used women from Parents
without Partners (p. 969).
5.
Lyons (1983) used “heterosexual single mothers”
(p. 232).
6.
Golombok et al. (1983) used “single-parent
households” (p. 551).
7.
Green et al. (1986) used “solo parent
heterosexual mothers” (p. 175).
8.
Harris and Turner (1986) used 2 “male single
parents” and 14 “female single parents” (p. 105).
9.
Huggins (1989) used “divorced heterosexual
mothers”31 (p. 123).
10.
Tasker and Golombok (1995) used “heterosexual
single mothers” (p. 203).
11.
Tasker and Golombok (1997) used “single
heterosexual mothers” (p. 38).
We see that in selecting heterosexual
comparison groups for their studies, many same-sex parenting researchers have
not used marriage-based, intact families as heterosexual representatives, but
have instead used single mothers (see Table 1). Further, Bigner and Jacobsen
used 90.9 percent single-father samples in two other studies (1989a, 1989b).32
In total, in at least 13 of the 33 comparison studies listed in the APA Brief’s
list of “Empirical Studies” (pp. 23–45) that include heterosexual comparison
groups, the researchers explicitly sampled “single parents” as representatives
for heterosexual parents. The repeated (and perhaps even modal) selection of
single-parent families as a comparison heterosexual-parent group is noteworthy,
given that a Child Trends (2002) review has stated that “children in
single-parent families are more likely to have problems than are children who
live in intact families headed by two biological parents”.33
Given that at least 13 of the 33 comparison
studies listed in the APA Brief’s list of “Empirical Studies” (pp. 23–45) used
single-parent families as heterosexual comparison groups, what group(s) did the
remaining 20 studies use as heterosexual representatives? In closely examining
the 20 remaining published comparison group studies, it is difficult to
formulate precise reports of the comparison group characteristics, because in
many of these studies, the heterosexual comparison groups are referred to as
“mothers” or “couples” without appropriate specificity (see Table 1). Were
these mothers continuously married—or were they single, divorced, remarried, or
cohabiting? When couples were used, were they continuously married—or remarried
or cohabiting? These failures to explicitly and precisely report sample
characteristics (e.g., married or cohabiting) are significant in light of
Brown’s (2004) finding based on her analysis of a data set of 35,938 US
children and their parents, that “regardless of economic and parental resources,
the outcomes of adolescents (12–17 years old) in cohabiting families…are
worse…than those…in two-biological-parent married families”.34 Because of the
disparities noted by Brown and others, scientific precision requires that we
know whether researchers used: (a) single mothers, (b) cohabiting mothers and
couples, (c) remarried mothers, or (d) continuously married mothers and couples
as heterosexual comparison groups.
Due to the ambiguity of the characteristics of
the heterosexual samples in many same-sex parenting studies, let us frame a
question that permits a more precise response, namely: How many of the studies
in the APA Brief’s “Empirical Studies” section (pp. 23–45) explicitly compare
the outcomes of children from intact, marriage-based families with those from
same-sex families? In an American Psychologist article published the year after
the APA Brief, Herek (2006) referred to a large, national study by McLanahan
and Sandefur (1994) “comparing the children of intact heterosexual families
with children being raised by a single parent”. Herek then emphasized that
“this [large scale] research literature does not include studies comparing
children raised by two-parent same-sex couples with children raised by
two-parent heterosexual couples”.35 Isolated exceptions exist with relatively
small samples (as discussed shortly in response to question 4 and as listed in
Table 1), but they are rare.
Given what we have seen regarding heterosexual
comparison group selection, let us revisit three related claims. First, in
1992, Patterson posited that36:
[N]ot a single study has found children of gay
and lesbian parents to be disadvantaged in any respect relative to children of
heterosexual parents.
Patterson’s (2000) claim was similar37:
[C]entral results of existing research on
lesbian and gay couples and families with children are exceptionally clear….
[The] home environments provided by lesbian and gay parents are just as likely
as those provided by heterosexual parents to enable psychosocial growth among family
members.
Lastly, and most significantly, we turn to the
APA Brief’s “Summary of Research Findings on Lesbian and Gay Parenting”, also
single-authored by Patterson (see p. 5)38:
Not a single study has found children of
lesbian or gay parents to be disadvantaged in any significant respect relative
to children of heterosexual parents.
In all three of these claims (including that
latter from the 2005 APA Brief), Patterson uses the broad and plural term
“heterosexual parents”, a term that includes marriage-based, intact families.
This broad claim is not nuanced by the information that, with rare exceptions,
the research does not include studies comparing children raised by two-parent,
same-sex couples with children raised by marriage-based, heterosexual couples.
Further, no mention is made that in at least 13 of the 33 extant comparison
studies referenced in the Brief (pp. 23–45), the groups selected to represent
“heterosexual parents” were composed largely, if not solely, of single parents.
We now move to another related examination of the APA Brief.
2.4. Question 4: does a scientifically-viable
study exist to contradict the conclusion that “not a single study has found
children of lesbian or gay parents to be disadvantaged”?
There is at least one notable exception39 to
the APA’s claim that “Not a single study has found children of lesbian or gay
parents to be disadvantaged in any significant respect relative to children of
heterosexual parents”.40 In the “Summary of Findings” section, the APA Brief
references a study by Sarantakos (1996),41 but does so in a footnote that
critiques the study (p. 6, Footnote 1). On page 40 of the APA Brief’s annotated
bibliography, a reference to the Sarantakos (1996) article is offered, but there
is no summary of the study’s findings, only a note reading “No abstract
available”.
Upon closer examination, we find that the
Sarantakos (1996) study is a comparative analysis of 58 children of
heterosexual married parents, 58 children of heterosexual cohabiting couples,
and 58 children living with homosexual couples that were all “matched according
to socially significant criteria (e.g., age, number of children, education,
occupation, and socio-economic status)”.42 The combined sample size (174) is the
seventh-largest sample size of the 59 published studies listed in the APA
Brief’s “Summary of Research Findings on Lesbian and Gay Parenting” (see Table
1). However, the six studies with larger sample sizes were all adult
self-report studies,43 making the Sarantakos combined sample the largest study
(APA Brief, pp. 23–45) that examined children’s developmental outcomes.
Key findings of the Sarantakos study are
summarized below. To contextualize these data, the numbers are based on a
teacher rating-scale of performance “ranging from 1 (very low performance),
through 5 (moderate performance) to 9 (very high performance)”.44 Based on
teacher (not parent) reports, Sarantakos found several significant differences
between married families and homosexual families.45
Language Achievement Married 7.7, Cohabiting 6.8, Homosexual 5.5
Mathematics Achievement Married 7.9, Cohabiting 7.0, Homosexual 5.5
Social Studies Achievement Married 7.3, Cohabiting 7.0, Homosexual
7.6
Sport Interest/Involvement Married 8.9, Cohabiting 8.3, Homosexual
5.9
Sociability/Popularity Married 7.5, Cohabiting 6.5, Homosexual 5.0
School/Learning Attitude Married 7.5, Cohabiting 6.8, Homosexual 6.5
Parent-School Relationships Married 7.5, Cohabiting 6.0, Homosexual
5.0
Support with Homework Married 7.0, Cohabiting 6.5, Homosexual 5.5
Parental Aspirations Married 8.1, Cohabiting 7.4, Homosexual 6.5a
a
Sarantakos, 1996, pp. 24–27.
Sarantakos concluded, “Overall, the study has
shown that children of married couples are more likely to do well at school in
academic and social terms, than children of cohabiting and homosexual
couples”.46
The APA’s decision to de-emphasize the
Sarantakos (1996) study was based, in part, on the criticism that “nearly all
indicators of the children’s functioning were based on subjective reports by
teachers”.47 The Sarantakos study was based, in part, on teacher reports.
However, teacher reports included “tests” and “normal school assessment” (p.
24). Subsequently, it may be argued that Sarantakos’ decision not to rely solely
or extensively on parent reports, as is done in most same-sex parenting
studies, is a strength, given parents’ tendencies towards bias when reporting
on their own children.48 Sarantakos49 also drew data from school aptitude tests
and observations, thereby modeling a research ideal of triangulation of
sources.50 In fact, the study integrated not only three data sources to
triangulate; it featured at least four (i.e., teachers, tests, observations,
and child reports). Further, the study controlled for “education, occupation,
and socio-economic status” and then, based on teacher reports, compared
marriage-based families with gay/lesbian families and found nine significant
differences—with children from marriage-based families rating higher in eight
areas. By objective standards, compared with the studies cited by the APA
Brief, the 1996 Sarantakos study was:
(a)
The largest comparison study to examine
children’s outcomes,51
(b)
One of the most comparative (only about five
other studies used three comparison groups),52 and
(c)
The most comprehensively triangulated study
(four data sources) conducted on same-sex parenting.53
Accordingly, this study deserves the attention
of scientists interested in the question of homosexual and heterosexual
parenting, rather than the footnote it received.
As we conclude the examination of question 4,
let us review a portion of APA’s published negation of Sarantakos’ (1996)
study54:
[Children Australia, the journal where the
article was published] cannot be considered a source upon which one should rely
for understanding the state of scientific knowledge in this field, particularly
when the results contradict those that have been repeatedly replicated in
studies published in better known scientific journals.
For other scientists, however, the salient
point behind the Sarantakos findings is that the novel comparison group of
marriage-based families introduced significant differences in children’s
outcomes (as opposed to the recurring “no difference” finding with
single-mother and “couple” samples). We now turn to the fifth question.
2.5. Question 5: what types of outcomes have
been investigated?
With respect to the APA Brief’s claim that “not
a single study has found children of lesbian or gay parents to [have]
disadvantaged [outcomes]”, what types of outcomes have been examined and
investigated? Specifically, how many of the same-sex parenting studies in Table
1 address the societal concerns of intergenerational poverty, collegiate
education and/or labor force contribution, serious criminality, incarceration,
early childbearing, drug/alcohol abuse, or suicide that are frequently the foci
of national studies on children, adolescents, and young adults, as discussed at
the outset of this paper?
Anderssen and colleagues cataloged the foci of
same-sex parenting studies in a 2002 review and reported55:
Emotional functioning was the most often
studied outcome (12 studies), followed by sexual preference (nine studies),
gender role behavior (eight studies), behavioral adjustment (seven studies),
gender identity (six studies), and cognitive functioning (three studies).
Examination of the articles cited in the 2005
APA Brief on Lesbian and Gay Parenting yields a list of studied outcomes that
are consistent with Anderssen’s summary, including: “sexual orientation”56;
“behavioral adjustment, self-concepts, and sex-role identity”57; “sexual
identity”58; “sex-role behavior”59; “self-esteem”60; “psychosexual and
psychiatric appraisal”61; “socioemotional development”62; and “maternal mental
health and child adjustment”.63
With these focal outcomes identified, it is
noteworthy that all of the aforementioned outcomes of societal-level concern
are absent from the list of “most often studied outcome(s)” as identified by
Anderssen et al.64 In response to the present article’s question 5 (what types
of outcomes have been investigated for children of gay/lesbian families?), it
may be concluded: In the same-sex parenting research that undergirded the 2005
APA Brief, it appears that gender-related outcomes were the dominant research
concern. To be more precise, Table 1 lists several categories of information
regarding the 59 published empirical studies; one of these categories is the
“outcome studied”. More than 20 studies have examined gender-related outcomes,
but there was a dearth of peer-reviewed journal articles from which to form
science-based conclusions in myriad areas of societal concern.65
One book-length empirical study66 entitled
Same-Sex Couples (Sarantakos, 2000, Harvard Press) did examine several issues
of societal concern. In connection with the questions raised in the present
article, this study:
(1)
includes a diverse sample of lesbian and gay
parents instead of focusing on privileged lesbian mothers (question 1);
(2)
uses not only one but two heterosexual
comparison samples; one married parent sample and one cohabitating parent
sample (questions 2 and 3);
(3)
examines several outcomes of societal concern
(question 5); and
(4)
is unique in presenting long-term (post-18
years old) outcomes of children with lesbian and gay parents (question 6,
addressed later).
This study’s conclusion regarding outcomes of
gay and lesbian parents reads, in part:
If we perceive deviance in a general sense, to
include excessive drinking, drug use, truancy, sexual deviance, and criminal
offenses, and if we rely on the statements made by adult children (over 18
years of age)…[then] children of homosexual parents report deviance in higher
proportions than children of (married or cohabiting) heterosexual couples
(Sarantakos, 2000, p. 131).
The 2005 APA Brief does not cite this study,
again leaving us to more closely examine the claim that “Not a single study has
found children of lesbian or gay parents to be disadvantaged in any significant
respect relative to children of heterosexual parents” (p. 15).
The Sarantakos (2000) study also includes the
report that “the number of children who were labeled by their parents as gay,
or identified themselves as gay, is much higher than the generally expected
proportion” (p. 133). However, the study also notes areas of no significant
heterosexual–homosexual differences (i.e., “Physical and emotional well-being”,
p. 130), consistent with the 2005 APA Brief’s claims. All of these findings
warranted attention in the 2005 APA Brief but were overlooked. Of most interest
to us here, however, is the novel attention of Sarantakos (2000) on multiple
concerns of societal importance, including drug and alcohol abuse, education
(truancy), sexual activity, and criminality.
In any less-developed area of empirical inquiry
it takes time, often several decades, before many of the central and most
relevant questions can be adequately addressed. This seems to be the case with
same-sex parenting outcomes, as several issues of societal concern were almost
entirely unaddressed in the 2005 APA Brief.
2.6. Question 6: what do we know about the
long-term outcomes of children of lesbian and gay parents?
In the preceding response to question 5, the
outcomes of intergenerational poverty, criminality, college education and/or
labor force contribution, drug/alcohol abuse, suicide, early sexual activity,
early childbearing, and eventual divorce as adults were mentioned. Close
consideration reveals that the majority of these outcomes are not “child”
outcomes. Indeed, most of these outcomes are not optimally observable until (at
the earliest) mid-late adolescence or early adulthood (and in the case of
divorce, not until middle adulthood). As discussed in question 5, virtually
none of the peer-reviewed, same-sex parenting comparison studies addressed
these outcomes.67
Additionally, of the 59 published studies cited
by the APA 2005 Brief (pp. 23–45), it is difficult to find comparison studies
of any kind that examine late adolescent outcomes of any kind. The few that
utilize comparison groups have comparison groups of 44 or fewer.68 Let us
further explore the importance of a lack of data centered on adolescents and
young adults.
Table 2 identifies 15 of the hundreds of
available studies on outcomes of children from intact families (as contrasted
with comparison groups such as cohabiting couples and single parents). One of
these studies included a data set of 35,938 children—one of “the
largest…nationally representative survey[s] of US children and their
parents”.69 Based on analysis of this nationally representative sample, Susan
Brown emphasized, “The findings of this study…demonstrate the importance of
separately examining children and adolescents”. She then explained70:
Although the outcomes of children (6–11 years
old) in cohabiting families…are worse…than those of children in
two-biological-parent married families, much of this difference…is economic….
In contrast, regardless of economic and parental resources, the outcomes of
adolescents (12–17 years old) in cohabiting families…are worse…than those…in
two-biological-parent married families.
In short, in the case of cohabiting families
and “two-biological-parent married families” the differences in children’s
outcomes increase in significance as the children grow older. The likelihood of
significant differences arising between children from same-sex and married
families may also increase across time—not just into adolescence but into early
and middle adulthood. For example, research indicates that “[d]aughters raised
outside of intact marriages are…more likely to end up young, unwed mothers than
are children whose parents married and stayed married”, and that “[p]arental
divorce increases the odds that adult children will also divorce”.71
Longitudinal studies that follow children
across time and into adulthood to examine such outcomes are comparatively rare
and valuable. We briefly turn to a key finding from one such study that
followed children of divorce into middle adulthood. Based on a 25-year
longitudinal study, Wallerstein and colleagues (2001) state:
Contrary to what we have long thought, the
major impact of divorce does not occur during childhood or adolescence. Rather,
it rises in adulthood as serious romantic relationships move center stage. When
it comes time to choose a life mate and build a new family, the effects of
divorce crescendo (p. xxix).
Wallerstein’s research, like nearly all of the
studies in the same-sex parenting literature, is based on a small,
non-representative sample that should not be generalized or overextended. Her
longitudinal work does, however, indicate that “effects [can] crescendo” in
adulthood. Did any published same-sex parenting study cited by the 2005 APA
Brief (pp. 23–45) track the societally significant long-term outcomes into
adulthood? No. Is it possible that “the major impact” of same-sex parenting
might “not occur during childhood or adolescence…[but that it will rise] in
adulthood as serious romantic relationships move center stage”? Is it also
possible that “when it comes time to choose a life mate and build a new family”
that the effects of same-sex parenting will similarly “crescendo” as they did
in Wallerstein’s study of divorce effects? In response to this or any question
regarding the long-term, adult outcomes of lesbian and gay parenting we have
almost no empirical basis for responding. An exception is provided by the
findings from self-reports of adult “children” (18 + years of age) in
Sarantakos’ (2000) book-length study, but those results not encouraging. This
is a single study however—a study that, like those cited by the APA Brief,
lacks the statistical power and rigor of the large, random, representative
samples used in marriage-based family studies (see Table 2). We now move to a
final related empirical question regarding the same-sex parenting literature.
2.7. Question 7: have the studies in this area
committed the type II error and prematurely concluded that heterosexual couples
and gay and lesbian couples produce parental outcomes with no differences?
The Summary of Research Findings in the APA
brief reads, “As is true in any area of research, questions have been raised
with regard to sampling issues, statistical power, and other technical matters”
(p. 5). However, neither statistical power nor the related concern of Type II
error is further explained or addressed. This will be done next.
In social science research, questions are
typically framed as follows: “Are we 95% sure the two groups being compared are
different?” (p < .05). If our statistics seem to confirm a difference with
95% or greater confidence, then we say the two groups are “significantly
different”. But what if, after statistical analysis, we are only 85% sure that
the two groups are different? By the rules of standard social science, we would
be obligated to say we were unable to satisfactorily conclude that the two
groups are different. However, a reported finding of “no statistically
significant difference” (at the p < .05 level; 95%-plus certainty) is a
grossly inadequate basis upon which to offer the science-based claim that the
groups were conclusively “the same”. In research, incorrectly concluding that
there is no difference between groups when there is in fact a difference is
referred to as a Type II error. A Type II error is more likely when undue
amounts of random variation are present in a study. Specifically, small sample
size, unreliable measures, imprecise research methodology, or unaccounted for
variables can all increase the likelihood of a Type II error. All one would
have to do to be able to come to a conclusion of “no difference” is to conduct
a study with a small sample and/or sufficient levels of random variation. These
weaknesses compromise a study’s “statistical power” (Cohen, 1988).
It must be re-emphasized that a conclusion of
“no significant difference” means that it is unknown whether or not a
difference exists on the variable(s) in question (Cohen, 1988). This conclusion
does not necessarily mean that the two groups are, in fact, the same on the
variable being studied, much less on all other characteristics. This point is
important with same-sex parenting research because [Patterson, 1992] and
[Patterson, 2000] and the 2005 APA Brief seem to draw inferences of sameness
based on the observation that gay and lesbian parents and heterosexual parents
appear not to be statistically different from one another based on small,
non-representative samples—thereby becoming vulnerable to a classic Type II
error.
To make the APA Brief’s proposition of sameness
more precarious, in a review published one year after the APA Brief in the
flagship APA journal, American Psychologist, Herek (2006) acknowledged that
many same-sex parenting studies have “utilized small, select convenience
samples and often employed unstandardized measures”.72Anderssen et al. (2002)
similarly indicated in their review of same-sex parenting studies, “The samples
were most often small, increasing the chance to conclude that no differences
exist between groups when in fact the differences do exist. This casts doubt on
the external validity of the studies”.73 With these limitations noted, the 2005
APA Brief explicitly claimed that findings of non-significant differences
between same-sex and heterosexual parents had been “repeatedly replicated” (p.
7, Footnote 1).
Reasons for skepticism regarding the APA
Brief’s claim that findings have been “repeatedly replicated” rest in Neuman’s
(1997) point that “the logic of replication implies that different researchers
are unlikely to make the same errors”.74 However, if errors (e.g., similarly
biased sampling approaches employing “small, select convenience samples”75 and
comparison groups) are repeated by different researchers, the logic behind
replication is undermined. As has been previously detailed in the response to
question 1 in this article, same-sex parenting researchers have repeatedly
selected White, well-educated, middle- and upper-class lesbians to represent
same-sex parents. This tendency recurred even after this bias was explicitly
identified by [Patterson, 1992] and [Patterson, 2000].76 Further, repeated
sampling tendencies in connection with heterosexual comparison groups (e.g.,
single mothers), were documented in response to Question 3 in this paper. These
repeated (convenience) sampling tendencies across studies that employed
different measures do not seem to constitute valid scientific replication.
An additional scientific question raised by the
above information regarding “small, select convenience”77 samples is framed by
Stacey and Biblarz (2001) who reveal that “many of these [comparative same-sex
parenting] studies use conventional levels of significance…on miniscule
samples, substantially increasing their likelihood of failing to reject the
null hypothesis”.78 Was the APA’s claim that “Not a single study has found
children of lesbian or gay parents to be disadvantaged…”79 based on clear
scientific evidence or (perhaps) Type II errors? In response, we now turn to
the APA-acknowledged but unexplained critique of low “statistical power” in
these studies (p. 5).
The last three editions of the [APA Publication
manual, 1994], [APA Publication manual, 2001] and [APA Publication manual,
2010] have urged scholars to report effect sizes and to take statistical power
into consideration when reporting their results. The APA 5th Publication manual
(2001) in use at the time of APA’s 2005 Brief on Lesbian and Gay Parenting
stated:
Take seriously the statistical power
considerations associated with your tests of hypotheses. Such considerations
relate to the likelihood of correctly rejecting the tested hypotheses, given a
particular alpha level, effect size, and sample size. In that regard, you
should routinely provide evidence that your study has power to detect effects
of substantive interest (e.g., see Cohen, 1988). You should be similarly aware
of the role played by sample size in cases in which not rejecting the null
hypothesis is desirable (i.e., when you wish to argue that there are no
differences [between two groups])… (p. 24).
This awareness of statistical power in cases
“when you wish to argue that there are no differences” bears directly on
same-sex comparative research. The APA 5th Publication manual (2001) continues:
Neither of the two types of probability [alpha
level or p value] directly reflects the magnitude of an effect or the strength
of a relationship. For the reader to fully understand the importance of your
findings, it is almost always necessary to include some index of effect size or
strength of relationship in your Results section (p. 25).
Let us review three statements from the APA 5th
Publication Manual for emphasis:
(1)
The APA urges researchers to: “Take seriously
the statistical power considerations” and “routinely provide evidence” (p. 24).
(2)
The APA identifies a specific concern with
sample size and statistical power in connection with cases where authors “wish
to argue that there are no differences” between compared groups (p. 24).
(3)
The APA concludes: “It is almost always
necessary to include some index of effect size or strength of relationship in
your Results section” (p. 25).
The APA’s first highlighted exhortation is that
an author “should routinely provide evidence that your study has sufficient
power…(e.g., see Cohen, 1988)” (p. 24). The reference cited here by the APA is
the volume Statistical Power Analysis for the Behavioral Sciences (2nd ed.) by
the late psychometrician Jacob Cohen, who has been credited with foundational
work in statistical meta-analysis (Borenstein, 1999). In his APA-cited volume,
Cohen states:
Most psychologists of whatever stripe believe
that samples, even small samples, mirror the characteristics of their parent
populations. In effect, they operate on the unstated premise that the law of
large numbers holds for small numbers as well…. [Citing Tversky and Kahneman]
“The believer in the law of small numbers has incorrect intuitions about
significance level, power, and confidence intervals. Significance levels are
usually computed and reported, but power and confidence levels are not. Perhaps
they should be”.
But as we have seen, too many of our colleagues
have not responded to [this] admonition…. They do so at their peril (p. xv).
Let us contextualize “the law of small numbers”
with respect to the same-sex parenting studies cited in the APA Brief. The
combined non-representative sample total of all 59 same-sex parenting studies
in the 2005 APA Brief (pp. 23–45) is 780080 (see Table 1). By comparison, Table
2 lists 15 prominent studies that contrast children’s outcomes in intact,
single-parent, divorced, and/or step-family forms using large probability
samples and comparison groups.81 The average sample size in these studies is
991182—a figure larger than all 59 same-sex parenting studies combined (7800).
We now turn to another question relating to
Cohen’s statements: How many of the published same-sex parenting studies with a
heterosexual comparison group cited in APA’s Brief (pp. 23–45) “provide[d]
evidence” of statistical power, consistent with APA’s Publication Manual and
the “admonition” of Jacob Cohen who is cited in the APA manual? An examination
of the studies indicates that only four of the 59 did so.83
In addition to Cohen’s (1988) statement that
statistical power is ignored at our own peril, he offered several tables in his
volume for researchers to reference. Employing these tables, statistical
experts Lerner and Nagai (2001) computed the sample sizes required for “a power
level of .80, or a Type II error rate of .20, or one in five findings” (p.
102). At this power level, the minimum number of cases required to detect a
small effect size84 is 393 for a T-test or ANOVA, or 780-plus for Chi-Square or
Pearson Correlation Coefficient tests.85 In Table 1 of this report, the 59
published same-sex parenting studies cited in the APA Brief (pp. 23–45) are
compared against these standards. A close examination indicates that not a
single study, including the few that reported power, meets the standards needed
to detect a small effect size. Indeed, it appears that only two of the
comparison studies ( [Bos et al., 2003] and [Bos et al., 2004]) have combined
sample sizes of even half of “the minimum number of cases”.86
In their book-length examination of same-sex
parenting studies, Lerner and Nagai (2001) further indicate that 17 of the 22
same-sex parenting comparison studies they reviewed had been designed in such a
way that the odds of failing to find a significant difference [between homo-
and hetero-sexual groups] was 85% or higher.87 Indeed, only one of the 22
studies they analyzed revealed a probability of Type II error below 77 percent,
and that study did find differences.88 These methodological concerns (and others)
were raised and explained in Lerner and Nagai’s monograph (see pp. 95–108), and
in an 81-page report by Nock (2001) preceding the APA Brief.89 Nock concluded:
All of the [same-sex parenting] articles I
reviewed contained at least one fatal flaw of design or execution. Not a single
one was conducted according to generally accepted standards of scientific
research…. [I]n my opinion, the only acceptable conclusion at this point is
that the literature on this topic does not constitute a solid body of scientific
evidence (Nock, 2001, pp. 39, 47).
More specifically, Nock identified: (a) several
flaws related to sampling (including biased sampling, non-probability sampling,
convenience sampling, etc.); (b) poorly operationalized definitions; (c)
researcher bias; (d) lack of longitudinal studies; (e) failure to report
reliability; (f) low response rates; and (g) lack of statistical power (pp.
39–40).90 Although some of these flaws are briefly mentioned in the 2005 APA
Summary of Research Findings on Lesbian and Gay Parenting, many of the
significant concerns raised by Nock or Lerner and Nagai are not substantively
addressed.91 Indeed, the Lerner and Nagai volume and the Nock report are
neither mentioned nor referenced.
To restate, in connection with the APA’s
published urging that researchers: “Take seriously the statistical power
considerations” and “routinely provide evidence”, the academic reader is left
at a disadvantage.92 Only a few comparison studies specifically reported
statistical power at all and no comparison study approached the minimum sample
size of 393 needed to find a small effect.
The author’s response to question 7 has
examined how comparisons have been made from a research methods standpoint. In
summary, some same-sex parenting researchers have acknowledged that “miniscule
samples”93 significantly increase “the chance to conclude that no differences
exist between groups when in fact the differences do exist”—thereby casting
“doubt on the external validity of the studies”.94 An additional concern is
that the APA Brief’s claim of “repeatedly replicated” findings of no
significant difference rested almost entirely on studies that were published
without reports of the APA-urged effect sizes and statistical power analyses.95
This inconsistency seems to justify scientific skepticism, as well as the
effort of more closely assessing the balance, precision, and rigor behind the
conclusions posed in the 2005 APA Brief.
3. Conclusion
The 2005 APA Brief, near its outset, claims
that “even taking into account all the questions and/or limitations that may
characterize research in this area, none of the published research suggests
conclusions different from that which will be summarized” (p. 5). The
concluding summary later claims, “Indeed, the evidence to date suggests that
home environments provided by lesbian and gay parents are as likely as those
provided by heterosexual parents to support and enable children’s psychosocial
growth” (p. 15).96
We now return to the overarching question of
this paper: Are we witnessing the emergence of a new family form that provides
a context for children that is equivalent to the traditional marriage-based
family? Even after an extensive reading of the same-sex parenting literature,
the author cannot offer a high confidence, data-based “yes” or “no” response to
this question. To restate, not one of the 59 studies referenced in the 2005 APA
Brief (pp. 23–45; see Table 1) compares a large, random, representative sample
of lesbian or gay parents and their children with a large, random,
representative sample of married parents and their children. The available
data, which are drawn primarily from small convenience samples, are
insufficient to support a strong generalizable claim either way. Such a
statement would not be grounded in science. To make a generalizable claim,
representative, large-sample studies are needed—many of them (e.g., Table 2).
Some opponents of same-sex parenting have made
“egregious overstatements”97 disparaging gay and lesbian parents. Conversely,
some same-sex parenting researchers seem to have contended for an
“exceptionally clear”98 verdict of “no difference” between same-sex and
heterosexual parents since 1992. However, a closer examination leads to the
conclusion that strong, generalized assertions, including those made by the APA
Brief, were not empirically warranted.99 As noted by Shiller (2007) in American
Psychologist, “the line between science and advocacy appears blurred” (p. 712).
The scientific conclusions in this domain will
increase in validity as researchers: (a) move from small convenience samples to
large representative samples; (b) increasingly examine critical societal and
economic concerns that emerge during adolescence and adulthood; (c) include
more diverse same-sex families (e.g., gay fathers, racial minorities, and those
without middle-high socioeconomic status); (d) include intact, marriage-based
heterosexual families as comparison groups; and (e) constructively respond to
criticisms from methodological experts.100 Specifically, it is vital that
critiques regarding sample size, sampling strategy, statistical power, and
effect sizes not be disregarded. Taking these steps will help produce more
methodologically rigorous and scientifically informed responses to significant
questions affecting families and children.
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1
See Table 2; [McLanahan and Sandefur, 1994] and
[Wilcox et al., 2005].
2
McLanahan and Sandefur (1994), p. 1 (emphasis
in original).
3
Waite (1995).
4
[Gaudino et al., 1999] and [Siegel et al.,
1996].
5
[Wilcox et al., 2005] and [Cutler et al.,
2000].
6
[Bachman et al., 1997], [Flewelling and Bauman,
1990], [Horwitz et al., 1996], [Johnson et al., 1996], [Simon, 2002], [Waite
and Gallagher, 2000], [Weitoft et al., 2003] and [Wilcox et al., 2005].
7
[Blackmon et al., 2005], [Harper and McLanahan,
2004], [Kamark and Galston, 1990], [Manning and Lamb, 2003] and [Margolin,
1992].
8
[Akerlof, 1998], [Blackmon et al., 2005],
[Brown, 2004], [Oliver and Shapiro, 1997] and [Rank and Hirschl, 1999].
9
[Amato, 2005], [Battle, 1998], [Cherlin et al.,
1998], [Heiss, 1996], [Lansford, 2009], [Manning and Lamb, 2003], [McLanahan
and Sandefur, 1994], [Phillips and Asbury, 1993] and [Teachman et al., 1998].
10
[Amato, 2005], [Amato and Booth, 2000], [Ellis
et al., 2003] and [McLanahan and Sandefur, 1994].
11
[Cherlin et al., 1995] and [Wolfinger, 2005].
12
The APA Brief’s stated objective was primarily
to influence family law. The preface states that “the focus of the
publication…[is] to serve the needs of psychologists, lawyers, and parties in
family law cases…. Although comprehensive, the research summary is focused on
those issues that often arise in family law cases involving lesbian mothers or
gay fathers” (APA Brief, 2005, p. 3). Redding (2008) reports that “leading
professional organizations including the American Psychological Association”
have issued statements and that “advocates have used these research conclusions
to bolster support for lesbigay parenting and marriage rights, and the research
is now frequently cited in public policy debates and judicial opinions” (p.
136).
13
Patterson, p. 15 (from APA Brief, 2005).
14
Kuhn (1970/1996) has stated that there is an
“insufficiency of methodological directives, by themselves, to dictate a unique
substantive conclusion to many sorts of scientific questions” (p. 3). To draw
substantive conclusions, a socially and historically influenced paradigm is
needed. Research is then “directed to the articulation of those phenomena and
theories that the paradigm already supplies” (p. 24). Indeed, paradigmatic
biases, and other influences, can make us vulnerable to “discrepancies between
warranted and stated conclusions in the social sciences” (Glenn, 1989, p. 119;
see also Glenn, 1997).
15
Kuhn (1970/1996) has noted that “when
scientists disagree about whether the fundamental problems of their field have
been solved, the search for rules gains a function that it does not ordinarily
possess” (p. 48).
16
These unpublished dissertations include: Hand
(1991), McPherson (1993), Osterweil (1991), Paul (1986), Puryear (1983), Rees
(1979), Sbordone (1993), and Steckel (1985). An adapted portion of one of these
dissertations (Steckel, 1985) was eventually published (Steckel, 1987) and is
included in the present examination; the other unpublished work is not included
in Table 1 of this paper.
17
Of the 59 published “Empirical Studies
Specifically Related to Lesbian and Gay Parents and Their Children”, no studies
mention African-American, Hispanic, or Asian-American families in either their
titles or subtitles. The reference list in the APA Brief’s “Summary of Research
Findings” (pp. 15–22) is also void of any studies focusing on African-American,
Hispanic, or Asian-American families. None of the “Empirical Studies
Specifically Related to Lesbian and Gay Parents and Their Children” (pp. 23–45)
holds, as its focus, any of these minorities. (Note: Three years after the 2005
APA Brief, Moore (2008) published a small but pioneering study on
African–American lesbians.)
18
Examples of explicit or implicitly all-White
(or nearly all-White) samples include, but are not limited to: [Bigner and
Jacobsen, 1989a], [Bigner and Jacobsen, 1989b], [Bozett, 1980], [Flaks et al.,
1995], [Green, 1978], [Green et al., 1986], [Hoeffer, 1981], [Huggins, 1989],
[Koepke et al., 1992], [Rand et al., 1982], [Siegenthaler and Bigner, 2000],
[Tasker and Golombok, 1995], [Tasker and Golombok, 1998] and [Vanfraussen et
al., 2003].
19
Patterson (1992, p. 1029).
20
Patterson (1992, p. 1036) (emphasis added).
21
Patterson (2000, , p. 1064) (emphasis added).
22
Patterson (2000, p. 1064).
23
Patterson (1992, p. 1036).
24
Patterson (2000, p. 1064).
25
Demo and Cox (2000, p. 890).
26
[Bailey et al., 1995], [Barrett and Tasker,
2001], [Bigner and Jacobsen, 1989a], [Bigner and Jacobsen, 1989b], [Bozett,
1980], [Harris and Turner, 1986], [Miller, 1979] and [Sarantakos, 1996].
27
[Bailey et al., 1995], [Barrett and Tasker,
2001], [Bozett, 1980] and [Miller, 1979].
28
Patterson (1992, p. 1029).
29
Patterson (2000, p. 1064).
30
See Footnotes 2–10 for documentation.
31
“Four of the 16 [divorced] heterosexual mothers
were either remarried or currently living with a heterosexual lover” (p. 127).
32
“Of the 66 respondents, six were married, 48
were divorced, eight were separated, and four had never been married” (Bigner
and Jacobsen (1989a, p. 166). This means the sample was 90.9% single.
33
Moore et al. (2002); for an extensive review,
see Wilcox et al. (2011).
34
Brown (2004, p. 364) (emphasis added).
35
Herek (2006, p. 612).
36
Patterson (1992, p. 1036) (emphasis added).
37
Patterson (2000, p. 1064) (emphasis added).
38
Patterson, p. 15 (from APA Brief, 2005),
(emphasis added).
39
Other arguably contradictory studies are
reviewed by Schumm (2011).
40
Patterson, p. 15 (from APA Brief, 2005).
41
Among the diverse types of gay/lesbian parents
there are at least two major categories that warrant scholarly precision: (a)
two lesbian or gay parents raising an adopted or DI (donor insemination) child
from infancy with these and only these two parents; and (b) two lesbian or gay
parents raising a child who is the biological offspring of one of the parents,
following a separation or divorce from a heterosexual partner. The Sarantakos
sample is of the latter (b) type. In terms of scholarly precision, it is
important to differentiate and not draw strong implications from ‘a’ to ‘b’ or
‘b’ to ‘a.’ Indeed, the author would posit that adopted versus DI children may
also warrant separate consideration. The core issue is that precision is
essential and overextension of findings should be avoided. This same issue is
of serious concern in connection with the tendency to overextend findings
regarding lesbian mothers to apply to gay fathers (see Regnerus, this volume).
42
Sarantakos (1996, p. 23).
43
In order, these six studies include: (1) Morris
et al., 2002 (N = 2431), who addressed adults’ reports of “coming out”; (2)
Johnson and O’Connor (2002) (N = 415), who addressed adults’ reports of
parenting beliefs, division of labor, etc.; (3) Crawford et al. (1999) (N =
388), who addressed psychologists’ self-reports of gay adoption; (4) King and
Black (1999) (N = 338), who addressed college students’ perceptions of gay
parents; (5) Bos et al. (2003) (N = 200), who addressed parental motives and
desires; and (6) Bos et al. (2004) (N = 200), who addressed parental reports of
couple relations. These foci are not children’s outcomes.
44
Sarantakos (1996, p. 24).
45
Social Studies Achievement is significant at
the p = .008 level; the eight other differences are significant at the p = .000
level.
46
Sarantakos (1996, p. 30).
47
APA Brief (2005), Footnote 1, p. 6 (emphasis
added).
48
It is well replicated that individuals tend to
rate the group with which they most identify more positively than they do other
groups. This positive bias includes within-family ratings Roese and Olson
(2007).
49
[Sarantakos, 2005] and [Sarantakos, 2007b] and
the author/editor of a four-volume, 1672-page work in Sage Publications’
Benchmarks in Social Research Series (2007a).
50
“Triangulation is a means of checking the
integrity of the inferences one draws. It can involve the use of multiple data
sources, …multiple theoretical perspectives, multiple methods, or all of these”
(Schwandt, 2001, p. 257). In effect, the standard of triangulation is advocacy
for checks and balances.
51
Six of the 59 studies listed in the 2005 APA
Brief (pp. 23–45) had larger samples, but, as discussed earlier, they all
focused on adult reports of adult perceptions and outcomes.
52
For example, [Brewaeys et al., 1997], [Golombok
et al., 2003], [Golombok et al., 1997], [MacCallum and Golombok, 2004] and
[Tasker and Golombok, 1998].
53
In spite of the strong design with respect to
triangulation, the Sarantakos study does not appear to be based on a true
probability sample, nor is it or a large sample (although it is a subsample of
a 900-plus study). The study is rigorous by comparison to other same-sex
parenting studies, but is limited compared with most of the nationally
representative studies on intact families listed in Table 2.
54
Patterson (2005) in APA Brief, p. 7, Footnote
1.
55
Anderssen et al. (2002, p. 343).
56
[Bailey et al., 1995] and [Golombok and Tasker,
1996].
57
Patterson (1994).
58
Green (1978).
59
[Hoeffer, 1981] and [Kweskin and Cook, 1982].
60
Huggins (1989).
61
Golombok et al. (1983).
62
Golombok et al. (1997).
63
Patterson (2001).
64
Anderssen et al. (2002, p. 343).
65
Including: intergenerational poverty,
criminality, college education and/or labor force contribution, drug/alcohol
abuse, suicide, sexual activity and early childbearing, and eventual divorce.
66
This study is a later, larger, and more detailed
report on the earlier mentioned Sarantakos (1996) study. The sample of that
study was larger than the other comparison samples in Table 1.
67
[Gartrell et al., 1999], [Gartrell et al.,
2000] and [Gartrell et al., 2005] have commenced to do so, but in 2005 they
were reporting on children who were only 10 years old (with a sample size of 74
and no heterosexual comparison group).
68
I.e. Wainwright et al. (2004).
69
Brown (2004), p. 355.
70
Brown (2004), p. 364.
71
Wilcox et al. (2011), p. 11.
72
Herek (2006), p. 612.
73
Anderssen et al. (2002), p. 348.
74
Neuman (1997), p. 150.
75
Herek (2006), p. 612.
76
Further, single mothers have been repeatedly
selected to represent heterosexual parents as documented in this paper’s
response to question 3.
77
Herek (2006), p. 612.
78
Stacey and Biblarz (2001, p. 168), Footnote 9.
79
Patterson, p. 15 (from APA Brief, 2005).
80
This figure (7800) includes same-sex parents
and their children, as well as heterosexual comparison samples (1404),
psychologists (388), and college students’ perception reports (489).
81
Table 2 lists 15 studies that contrast
children’s outcomes in intact families compared with other family forms using
large, probability samples and comparison groups. The focal topics of these
studies are not “sexual preference, gender role behavior…[and] gender identity”
(Anderssen et al., 2002, p. 343), but outcomes such as “educational
attainment”, “labor force attachment”, and “early childbearing” (McLanahan and
Sandefur, 1994, pp. 20–21), as recommended in the earlier examination of
question 5. Further, all but two of the 15 studies employ longitudinal designs,
as recommended in the earlier examination of question 6.
82
This figure is the result of 148,667 divided by
15 studies.
83
These include [Chan et al., 1998b], [Fulcher et
al., 2002], [Golombok and Tasker, 1996] and [Tasker and Golombok, 1997].
84
By way of context, in a 67 study meta-analysis
of the average differences in outcomes between children with “divorced and
continuously married parents”, Amato (2001) reported an average weighted effect
size of between −0.12 and −0.22 (a −0.17 average) with an advantage in all five
domains considered to children of continuously married parents (p. 360). These
effect sizes of about .20, although statistically robust, would be classified
by Cohen (1992) as small effect sizes. Even so, based on the data, most family
scholars would agree that children whose parents remain continuously married
tend to fare slightly to moderately better than when parents divorce. However,
large numbers were needed to determine this “small” but important effect.
Indeed, most effect sizes in social science research tend to be small. Rigorous
and sound social science tends to include and account for many influential
factors that each has a small but meaningful effect size. In social science,
detecting a novel “large effect” from a single variable (whether it is divorce,
remarriage, or same-sex parenting), is a comparatively rare occurrence. If we
are to examine possible effects of same-sex parenting with scientific precision
and rigor, related examinations would, like Amato’s work, be designed and
refined to detect “small effect” sizes.
85
Cohen (1988) proposes a “relatively high power”
of .90 for cases where one is trying to “demonstrate the r [difference] is
trivially small” (p. 104). If the .90 power were applied, the required sample
sizes would further increase. However, because none of the studies in Table 1
of the present report approach the .80 power levels, .90 calculations are
unnecessary here.
86
The “minimum number of cases” is 393. The two
Bos et al. studies both have combined samples of 200. Four other larger samples
are not comparison studies [Crawford et al., 1999], [Johnson and O’Connor,
2002], [King and Black, 1999] and [Morris et al., 2002].
87
Lerner and Nagai (2001, p. 103).
88
The single exception was Cameron and Cameron
(1996) with a comparatively low probability error rate of 25%. This study, like
the Sarantakos (1996) study mentioned earlier, did report some significant
differences between children of heterosexual and homosexual parents but, like
Sarantakos (1996), was not addressed in the body of the 2005 APA brief but was
instead moved to a footnote on p. 7. See Redding (2008) for additional discussion
(p. 137).
89
For similar critiques preceding the 2005 APA
brief, see [Nock, 2001], [Schumm, 2004], [Wardle, 1997] and [Williams, 2000].
For similar critiques post-dating the 2005 APA brief, see [Byrd, 2008],
[Schumm, 2010a], [Schumm, 2010b], [Schumm, 2011] and [Redding, 2008].
90
Four of these seven issues are addressed in the
present paper. The exceptions include researcher bias, failure to report
reliability, and low response rates.
91
The 2005 APA Brief’s Summary on Research
Findings acknowledges criticisms of same-sex parenting research including: (a)
non-representative sampling, (b) “poorly matched or no control groups”, (c)
“well-educated, middle class [lesbian] families”, and (d) “relatively small
samples” (p. 5). The respective responses to these criticisms in the APA brief
are: (a) “contemporary research on children of lesbian and gay parents involves
a wider array of sampling techniques than did earlier studies”; (b)
“contemporary research on children of lesbian and gay parents involves a wider
array of research designs (and hence, control groups) than did earlier
studies”; (c) “contemporary research on children of lesbian and gay parents
involves a greater diversity of families than did earlier studies”; and (d)
“contemporary research has benefited from such criticisms” (p. 5). The APA
Brief does not challenge the validity of these research criticisms but notes
that improvements are being made.
92
See Schumm (2010b) for more comprehensive,
article-length treatment of these statistical issues.
93
Stacey and Biblarz (2001, p. 168).
94
Anderssen et al. (2002, p. 348).
95
Schumm (2010b).
96
The APA Brief also states that “the existing
data are still limited, and any conclusions must be seen as tentative”. Also,
that “it should be acknowledged that research on lesbian and gay parents and
their children, though no longer new, is still limited in extent” (p. 15). For
some scientists, these salient points seem to be overridden by the APA Brief’s
conclusions.
97
This reality has been disapprovingly documented
by Shiller (2007).
98
Patterson (1992).
99
In 2006, the year following APA’s release of
the brief on Lesbian and Gay Parenting, “former APA president Nicholas Cummings
argued that there has been significant erosion” of the APA’s established
principle (Shiller (2007), p. 712)…that “when we speak as psychologists we
speak from research evidence and clinical experience and expertise” (Cummings
(2006), p. 2).
100
At least one such study (Rosenfeld, 2010) has
emerged in the years since the 2005 APA brief was issued. This study features a
very large sample but has also received criticism (Schumm, 2011).
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