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ObjectiveThis article outlines for family scholars and researchers designing surveys or searching for data on sexual and gender‐diverse (SGD) families the latest methodological advancements in United States population‐based surveys for studying SGD partnerships by reviewing five recently collected, publicly available, population‐representative data sets.BackgroundLGBTQIA+ adults and SGD partnerships are an expanding demographic group in the United States. Yet, measurement limitations have restricted studies of these partnerships that use population‐based studies. To address this issue, researchers designing population‐representative data collections have adopted new strategies to measure SGD partnerships accurately. However, most population representative surveys continue to lack data on growing segments of the LGBTQIA+ population by relying solely on the sex of partners or limited sexual and gender identity measures.ConclusionWe recommend expanding population‐based surveys to incorporate inclusive measures of sexual and gender identity, directly asking about the gender composition of a couple and measurement of cohabiting and other nonmarital relationships. These approaches are especially important for understanding relationships among younger populations who do not follow heteronormative relationship trajectories and hold diverse gender and sexual identities.ImplicationsAlthough the research opportunities on SGD individuals and partnerships are expanding; researchers must remain mindful of the limitations of current data sets and advocate for updates to the United States population data infrastructure.
ObjectiveThis article outlines for family scholars and researchers designing surveys or searching for data on sexual and gender‐diverse (SGD) families the latest methodological advancements in United States population‐based surveys for studying SGD partnerships by reviewing five recently collected, publicly available, population‐representative data sets.BackgroundLGBTQIA+ adults and SGD partnerships are an expanding demographic group in the United States. Yet, measurement limitations have restricted studies of these partnerships that use population‐based studies. To address this issue, researchers designing population‐representative data collections have adopted new strategies to measure SGD partnerships accurately. However, most population representative surveys continue to lack data on growing segments of the LGBTQIA+ population by relying solely on the sex of partners or limited sexual and gender identity measures.ConclusionWe recommend expanding population‐based surveys to incorporate inclusive measures of sexual and gender identity, directly asking about the gender composition of a couple and measurement of cohabiting and other nonmarital relationships. These approaches are especially important for understanding relationships among younger populations who do not follow heteronormative relationship trajectories and hold diverse gender and sexual identities.ImplicationsAlthough the research opportunities on SGD individuals and partnerships are expanding; researchers must remain mindful of the limitations of current data sets and advocate for updates to the United States population data infrastructure.
Psychology researchers have historically neglected variables related to sex, gender, and sexual orientation, leading to the erasure of sex, gender, and sexual orientation in research, which limits the generalizability of psychological findings. We argue that these important variables need to be considered more consistently by researchers across psychology subdisciplines. In Study 1 we found that 15.1% of a large MTurk sample (i.e., 8500+) identified as a sexual or gender minority (SGM; e.g., lesbian, gay, bisexual, transgender, queer [LGBTQ+]). In addition, data from Study 1 showed that our youngest cohort (i.e., aged 18–25 years) reported significantly higher rates of LGBTQ+ identification (22.7%) than our oldest cohort (i.e., 65–84 years; 1.3%), suggesting that endorsement of these idnetities is increasing. Next, in Study 2 we found that psychology researchers ( N = 135) tended to rate expansive sex, gender, and sexual orientation demographic variables as important in general, but were much less likely to report actually using these variables in their own studies. Moreover, younger faculty and faculty who identified as women rated these variables as more important than their colleagues. Based on our findings, we conclude that psychology researchers should use expansive sex, gender, and sexual orientation items in their studies, report these demographic variables consistently, and analyze their data by these important variables when possible. Because a substantial and growing proportion of individuals identify as LGBTQ+, and because SGM identity is related to additional life stressors, it is imperative to better understand these individuals. Various resources are offered and challenges are discussed.
It is often assumed that sexual and romantic attractions are aligned: that the gender(s) a person is attracted to sexually “matches” the gender(s) to which they are romantically attracted. In this study, I challenge that assumption by centering asexual perspectives on attraction. Drawing on interviews with 77 asexual individuals (a sexual identity referring to those who experience low/no sexual attraction), I find that many frame their attraction as “split.” In this “split attraction” framework, romantic and sexual attractions are treated as having the potential to be unlinked. I examine how this leads some asexual individuals to forge complex identities that draw on both their sexual and romantic orientations, with some using multiple sexual identities simultaneously (e.g., bisexual asexual). I also consider how split attraction frameworks may be applied outside of asexual contexts, arguing that scholars should formulate study designs to accommodate for split attractions and orientations.
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