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Sexual Identity Disclosure among Lesbian, Gay, and Bisexual Individuals

By on October 19, 2020 in Articles

Long Doan, Trenton D. Mize

Sociological Science October 19, 2020
10.15195/v7.a21

Abstract
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Most research on sexual prejudice explicitly or implicitly assumes that an individual’s sexual orientation identity is known to observers. However, there has been little large-scale survey evidence examining differential rates of disclosure among lesbian, gay, and bisexual (LGB) individuals, and there remains much to be studied as to why and when LGB individuals choose to disclose their sexual identity to others. Using data from a nationally representative sample of LGB Americans (N=1,085), we assess the contexts and conditions under which LGB individuals disclose their sexual identities. Results show that bisexual women and men are significantly less likely to disclose their sexual identity across several important social domains, such as family and the workplace. This disclosure gap is partially explained by measures of identity commitment but surprisingly not by measures of perceived social acceptance. We discuss implications of these findings for sexuality and identity research.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Long Doan: Department of Sociology, University of Maryland
E-mail: longdoan@umd.edu

Trenton D. Mize: Department of Sociology and Advanced Methodologies, Purdue University
E-mail: tmize@purdue.edu

Acknowledgments: We thank Brian Powell, Lisa R. Miller, and Brian T. Connor for excellent suggestions on various drafts of this paper. Parts of this paper were presented at the Indiana University Social Psychology, Health, and the Life Course seminar and the 2017 ASA Meetings. We thank audience members in both venues for their valuable comments. We are also grateful to the Pew Research Center for collecting the data used in our analyses. Partial funding for open access was provided by the UMD Libraries’ Open Access Publishing Fund. Opinions, findings, and ‘conclusions presented in this paper are ours and do not necessarily represent the views of any of the organizations or individuals above.

Supplemental Material

  • Citation: Doan, Long, and Trenton D. Mize. 2020. “Sexual Identity Disclosure among Lesbian, Gay, and Bisexual Individuals.” Sociological Science 7: 504-527.
  • Received: August 19, 2020
  • Accepted: September 19, 2020
  • Editors: Jesper Sørensen, Gabriel Rossman
  • DOI: 10.15195/v7.a21


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Generalized Markovian Quantity Distribution Systems: Social Science Applications

By on October 8, 2020 in Articles

Noah E. Friedkin, Anton V. Proskurnikov

Sociological Science October 8, 2020
10.15195/v7.a20

Abstract
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We propose a model of Markovian quantity flows on connected networks that relaxes several properties of the standard compartmental Markov process. The motivation of our generalization are social science applications of the standard model that do not comport with its steady state predictions. The proposed generalization relaxes the predictions that every node belonging to the same nontrivial strong component of a network must acquire the same fraction of its members’ initial quantities and that the sink component(s) of the network must absorb all of the system’s available initial quantity. For example, when applied to refugee flows from a nation in chaos to other nations on a network with one or more sink nations, the standard model predicts that all the refugees will be eventually located in the sink(s) of the network and none that will permanently locate themselves in the nations along the paths to the sink(s). We illustrate this and several other social science applications to which our proposed model is applicable.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Noah E. Friedkin: Department of Sociology and the Center for Control, Dynamical Systems, and Computation, University of California, Santa Barbara
E-mail: friedkin@soc.ucsb.edu

Anton V. Proskurnikov: Politecnico di Torino, Turin, Italy, and the Institute for Problems of Mechanical Engineering of the Russian Academy of Sciences, St. Petersburg, Russia
E-mail: anton.p.1982@ieee.org

  • Citation: Friedkin, Noah E., and Anton V. Proskurnikov. 2020. “Generalized Markovian Quantity Distribution Systems: Social Science Applications.” Sociological Science 7: 487-503.
  • Received: September 3, 2020
  • Accepted: September 10, 2020
  • Editors: Jesper Sørensen, Olav Sorenson
  • DOI: 10.15195/v7.a20


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Interactions between Polygenic Scores and Environments: Methodological and Conceptual Challenges

By on September 21, 2020 in Articles

Benjamin W. Domingue, Sam Trejo, Emma Armstrong-Carter, Elliot M. Tucker-Drob

Sociological Science September 21, 2020
10.15195/v7.a19

Abstract
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Interest in the study of gene–environment interaction has recently grown due to the sudden availability of molecular genetic data—in particular, polygenic scores—in many long-running longitudinal studies. Identifying and estimating statistical interactions comes with several analytic and inferential challenges; these challenges are heightened when used to integrate observational genomic and social science data. We articulate some of these key challenges, provide new perspectives on the study of gene–environment interactions, and end by offering some practical guidance for conducting research in this area. Given the sudden availability of well-powered polygenic scores, we anticipate a substantial increase in research testing for interaction between such scores and environments. The issues we discuss, if not properly addressed, may impact the enduring scientific value of gene–environment interaction studies.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Benjamin W. Domingue: Graduate School of Education, Stanford University
E-mail: bdomingu@stanford.edu

Sam Trejo: La Follette School of Public Affairs & Department of Sociology, University of Wisconsin–Madison
E-mail: sam.trejo@wisc.edu

Emma Armstrong-Carter: Graduate School of Education, Stanford University
E-mail: emmaac@stanford.edu

Elliot M. Tucker-Drob: Department of Psychology and Population Research Center, University of Texas at Austin
E-mail: tuckerdrob@utexas.edu

Acknowledgments: This work has been supported by the Russell Sage Foundation and the Ford Foundation (grant 96-17-04). S.T. was supported by the National Science Foundation (grant DGE-1656518) and the Institute of Education Sciences (grant R305B140009). E.M.T.-D. was supported by the National Institutes of Health (grants R01AG054628, R01MH120219, and R01HD083613) and by the Jacobs Foundation. Any opinions expressed are those of the authors alone and should not be construed as representing the opinions of any foundation. The authors would like to thank Jason Boardman and Jason Fletcher for comments on an early draft of this article.

  • Citation: Domingue, Benjamin W., Sam Trejo, Emma Armstrong-Carter, and Elliot M. Tucker-Drob. 2020. “Interactions between Polygenic Scores and Environments: Methodological and Conceptual Challenges.” Sociological Science 7: 465-486.
  • Received: June 5, 2020
  • Accepted: August 24, 2020
  • Editors: Olav Sorenson
  • DOI: 10.15195/v7.a19


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Bounded Solidarity in Cross-National Encounters: Individuals Share More with Others from Poor Countries but Trust Them Less

By on September 8, 2020 in Articles

Felix Bader, Marc Keuschnigg

Sociological Science September 8, 2020
10.15195/v7.a17

Abstract
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Globalization makes cross-national encounters increasingly common. Hesitant cooperation across national, ethnic, and cultural boundaries, however, undercuts the microlevel stabilizers of global integration and, most importantly, the willingness to share with and place trust in members of other social groups. In a 109-country online experiment, we convey information on interaction partners’ nationalities to indicate membership in a broader in- or out-group, cultural distance, and perceived material neediness—or status differences more generally—to 1,674 participants in incentivized games of generosity (dictator game) and trust (trust game). We find consistent evidence for in-group favoritism and—against this benchmark—demonstrate that individuals across the globe share more with but place less trust in interaction partners from poor countries and that cultural distance moderates this status effect.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Felix Bader: Department of Social Sciences, Technical University of Kaiserslautern
E-mail: felix.bader@sowi.uni-kl.de

Marc Keuschnigg: Institute for Analytical Sociology, Linköping University
E-mail: marc.keuschnigg@liu.se

Acknowledgments: We thank Hanna Nau, Leona Przechomski, and Fabian Thiel for excellent research assistance and Amelie Aidenberger, Johanna Gereke, Wojtek Przepiorka, and Heiko Rauhut for discussions. This research received funding from the German Research Foundation (KE 2020/2-1). M.K. further acknowledges the Swedish Research Council (2018-05170). Address correspondence to felix.bader@sowi.uni-kl.de.

Supplemental Material

  • Citation: Bader, Felix, and Marc Keuschnigg. 2020. “Bounded Solidarity in Cross-National Encounters: Individuals Share More with Others from Poor Countries but Trust Them Less.” Sociological Science 7: 415-432.
  • Received: June 5, 2020
  • Accepted: July 22, 2020
  • Editors: Jesper Sørensen, Delia Baldassarri
  • DOI: 10.15195/v7.a17


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Signs of the End of the Paradox? Cohort Shifts in Smoking and Obesity and the Hispanic Life Expectancy Advantage

By on August 31, 2020 in Articles

Jennifer Van Hook, Michelle L. Frisco, Carlyn E. Graham

Sociological Science August 31, 2020
10.15195/v7.a16

Abstract
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Hispanics’ paradoxical life expectancy advantage over whites has largely been attributed to Hispanics’ lower smoking prevalence. Yet across birth cohorts, smoking prevalence has declined for whites and Hispanics, and Hispanics’ obesity prevalence has increased substantially. Our analysis uses data from the 1989 to 2014 National Health Interview Survey and Linked Mortality files to investigate whether these trends could lead Hispanics to lose their comparative mortality advantage. Simulations suggest that foreign-born Hispanics’ life expectancy advantage over whites is likely to persist because cohort trends in smoking and obesity largely offset each other. However, U.S.-born Hispanics’ life expectancy advantage over whites is likely to diminish or disappear entirely as the 1970s and 1980s birth cohorts age due to increases in obesity prevalence and the relatively high mortality risks of those who are obese. Results have important implications for understanding the future of immigrants’ health advantages and ethnic disparities in health.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Jennifer Van Hook: Department of Sociology, Penn State University
E-mail: jxv21@psu.edu

Michelle L. Frisco: Department of Sociology, Penn State University
E-mail: mlf112@psu.edu

Carlyn E. Graham: Department of Sociology, Penn State University
E-mail: ceg248@psu.edu

Acknowledgments: We are grateful to Virginia Chang for helpful comments in her role as a discussant of this article at the 2019 meeting of the Population Association of America. We also acknowledge assistance provided by the Population Research Institute at Penn State University, which is supported by an infrastructure grant from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2CHD041025).

Supplemental Material

  • Citation: Van Hook, Jennifer, Michelle L. Frisco, and Carlyn E. Graham. 2020. “Signs of the End of the Paradox? Cohort Shifts in Smoking and Obesity and the Hispanic Life Expectancy Advantage.” Sociological Science 7: 391-414.
  • Received: June 13, 2020
  • Accepted: July 20, 2020
  • Editors: Jesper Sørensen, Sarah Soule
  • DOI: 10.15195/v7.a16


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What Age Is in a Name?

By on August 24, 2020 in Articles

Sasha Shen Johfre

Sociological Science August 24, 2020
10.15195/v7.a15

Abstract
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Social scientists often describe fictional people in survey stimuli using first names. However, which name a researcher chooses may elicit nonrandom impressions, which could confound results. Although past research has examined how names signal race and class, very little has examined whether names signal age, which is a highly salient status characteristic involved in person construal. I test the perceived demographics of 228 American names. I find that most strongly signal age, with older-sounding names much more likely to be perceived as white than as black. Furthermore, participants’ perceptions of the age of a name poorly match with the true average birth year of people with that name, suggesting that researchers cannot simply use birth records as a proxy for perceived age. To assist researchers in name selection, I provide a set of candidate names that strongly signal a matrix of combined age, race, and gender categories.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Sasha Shen Johfre: Department of Sociology, Stanford University
E-mail: sjohfre@stanford.edu

Acknowledgments: Many thanks to David Pedulla, Jeremy Freese, Amy Johnson, Hesu Yoon, Jennifer Freyd, and Hannah Johfre Shen for their very helpful comments on earlier drafts of this article. This research was made possible through financial support from the Stanford Laboratory for Social Research and the Stanford Center on Longevity.

Supplemental Material

  • Citation: Johfre, Sasha Shen. 2020. “What Age Is in a Name?” Sociological Science 7: 367-390.
  • Received: May 16, 2020
  • Accepted: July 2, 2020
  • Editors: Gabriel Rossman, Arnout van de Rijt
  • DOI: 10.15195/v7.a15


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Pretrial Detention and the Costs of System Overreach for Employment and Family Life

By on August 17, 2020 in Articles

Sara Wakefield, Lars Højsgaard Andersen

Sociological Science August 17, 2020
10.15195/v7.a14

Abstract
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Using unique Danish register data that allow for comparisons across both conviction and incarceration status, this article analyzes the association between pretrial detention and work, family attachment, and recidivism. We find that pretrial detention may impose unique social costs, apart from conviction or additional punishments. Most notably, men who are detained pretrial experience poorer labor market trajectories than men who are convicted of a crime (but not incarcerated). Importantly, this result holds even for men who are detained pretrial but who are not convicted of the crime. Consistent with prior research, we also find that pretrial detention is unrelated to later family formation but might disrupt preexisting household arrangements. Finally, the associations between pretrial detention and work and family life are not counterbalanced by reductions in recidivism.
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Sara Wakefield: School of Criminal Justice, Rutgers University, Newark
E-mail: sara.wakefield@rutgers.edu

Lars Højsgaard Andersen: ROCKWOOL Foundation Research Unit
E-mail: lha@rff.dk

Acknowledgments: We thank Robert Apel and Christopher Wildeman for helpful comments and the ROCKWOOL Foundation for their support of this research.

Supplemental Material

  • Citation: Wakefield, Sara, and Lars Højsgaard Andersen. 2020. “Pretrial Detention and the Costs of System Overreach for Employment and Family Life.” Sociological Science 7: 342-366.
  • Received: April 18, 2020
  • Accepted: June 20, 2020
  • Editors: Jesper Sørensen, Sarah Soule
  • DOI: 10.15195/v7.a14


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The Influence of Changing Marginals on Measures of Inequality in Scholarly Citations: Evidence of Bias and a Resampling Correction

By on August 10, 2020 in Articles

Lanu Kim, Christopher Adolph, Jevin D. West, Katherine Stovel

Sociological Science August 10, 2020
10.15195/v7.a13

Abstract
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Scholars have debated whether changes in digital environments have led to greater concentration or dispersal of scientific citations, but this debate has paid little attention to how other changes in the publication environment may impact the commonly used measures of inequality. Using Monte Carlo experiments, we demonstrate that a variety of inequality measures—including the Gini coefficient, the Herfindahl-Hirschman index, and the percentage of articles ever cited—are substantially biased downward by increases in the total number of articles and citations. We propose and validate a resampling-based correction for this “marginals bias” and apply this correction to empirical data on scholarly citation distributions using Web of Science data covering four broad scientific fields (health, humanities, mathematics and the computer sciences, and the social sciences) from 1996 to 2014. We find that in each field the bulk of the apparent decline in citation inequality in recent years is an artifact of marginals bias, as are most apparent interfield differences in citation inequality. Researchers using inequality measures to compare citation distributions and other distributions with many cases at or near the zero-bound should interpret these metrics carefully and account for the influence of changing marginals.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Lanu Kim: Graduate School of Education, Stanford University
E-mail: lanu@stanford.edu

Christopher Adolph: Department of Political Science, University of Washington, Seattle
E-mail: cadolph@uw.edu

Jevin D. West: Information School, University of Washington, Seattle
E-mail: jevinw@uw.edu

Katherine Stovel: Department of Sociology, University of Washington, Seattle
E-mail: stovel@uw.edu

Acknowledgments: We thank Clarivate Analytics for providing the Web of Science data, and Elena Erosheva, Bas Hofstra, and Joe Cho for helpful conversations. This research was supported by National Science Foundation grant #1735194, Katherine Stovel primary investigator, Jevin West co–primary investigator.

Supplemental Material

  • Citation: Kim, Lanu, Christopher Adolph, Jevin D. West, and Katherine Stovel. 2020. “The Influence of Changing Marginals on Measures of Inequality in Scholarly Citations: Evidence of Bias and a Resampling Correction.” Sociological Science 7: 314-341.
  • Received: June 16, 2020
  • Accepted: July 3, 2020
  • Editors: Arnout van de Rijt
  • DOI: 10.15195/v7.a13


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Status and Vocal Accommodation in Small Groups

By on August 3, 2020 in Articles

Joseph Dippong

Sociological Science August 3, 2020
10.15195/v7.a12

Abstract
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Sociological research on vocal dynamics demonstrates that as actors engage in conversation, their vocal frequencies tend to converge over time. Previous scholars have theorized that patterns of vocal accommodation serve as a mechanism through which speakers non-consciously communicate perceptions of each other’s relative status. In this article I discuss existing evidence linking vocal accommodation to status perceptions. Next, I report results from a laboratory experiment in which I test the proposed causal link between status and vocal accommodation by randomly assigning members of dyadic task groups to occupy either a higher or lower status position and assessing patterns of vocal accommodation. Results support the theorized causal relationship between group status structure and vocal accommodation. I argue that, as an unobtrusive and non-conscious indicator of status, vocal accommodation is a valuable, yet underused tool for assessing group status structures in a wide variety of situations and regarding many substantive sociological questions.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Joseph Dippong: Department of Sociology, University of North Carolina at Charlotte
E-mail: jdippong@uncc.edu

Acknowledgments: The research reported here was funded in whole under award W911NF-17-1-0008 from the U.S. Army Research Office/Army Research Laboratory. The views expressed are those of the author and should not be attributed to the Army Research Office/Army Research Laboratory.

  • Citation: Dippong, Joseph. 2020. “Status and Vocal Accommodation in Small Groups.” Sociological Science 7: 291-313.
  • Received: May 6, 2020
  • Accepted: June 8, 2020
  • Editors: Jesper Sørensen, Mario Small
  • DOI: 10.15195/v7.a12


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