Resilience and Stress in Romantic Relationships in the United States During the COVID-19 Pandemic

Michael J. Rosenfeld, Sonia Hausen

Sociological Science September 6, 2023
10.15195/v10.a17


We measure the perceived effect of the COVID-19 pandemic on romantic relationships in the United States. We contrast Family Stress theories emphasizing potential harms of the pandemic with Family Resilience Theory suggesting that crises can lead couples to build meaning and strengthen their relationships. We examine closed-ended and open-ended questions about relationship responses to the pandemic from the How Couples Meet and Stay Together surveys from 2017, 2020 and 2022. We analyze potential correlates of relationship outcomes including education, children at home, gender, time spent together and pre-pandemic relationship quality. Subjects were three times as likely to describe pandemic relationship benefits compared to harms. Couples in high quality relationships were especially resilient to pandemic stresses, and derived benefits from more time together. Couples made meaning out of the pandemic and used the normalcy of their domestic situations to make a common front against an external threat.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Michael J. Rosenfeld: Stanford University
E-mail: mrosenfe@stanford.edu

Sonia Hausen: Stanford University

Responsibilities: The article grew from conversations between Rosenfeld and Hausen. Rosenfeld wrote the grants to gather the data. Hausen had primary responsibility for coding the open-ended question about how the pandemic affected relationships. Rosenfeld performed the analyses and wrote the article with feedback from Hausen.

Acknowledgements: Data were gathered through the support of the National Science Foundation grant SES 2030593 (funding HCMST 2020 and 2022), and a grant from the United Parcel Service endowment at Stanford University (funding HCMST 2017). An earlier version of the article was presented at the Population Association of America meetings, 2022. For feedback, thanks to Kimberly Higuera, Hannah Tessler, Stanford’s Graduate FamilyWorkshop, and to anonymous reviewers. Replication statement: The HCMST 2017-2022 data, documentation, and a replication package for Tables 1-6 are available at https://data.stanford.edu/hcmst2017. The HCMST data and documentation have been deposited to and will eventually be available from ICPSR as well (timing subject to ICPSR’s production schedule for curated datasets). The open-ended text answers, in edited form, will be deposited to ICPSR and will be available as a restricted dataset addition to HCMST 2017-2022.

  • Citation: Rosenfeld, Michael J., and Sonia Hausen. 2023. “Resilience and Stress in Romantic Relationships in the United States During the COVID-19 Pandemic” Sociological Science 10:472-500.
  • Received: May 15, 2023
  • Accepted: June 12, 2023
  • Editors: Ari Adut, Kristen Schilt
  • DOI: 10.15195/v10.a17


0

"Looking for It in Genetix": Response to Comment

Mads Meier Jæger, Stine Møllegaard

Sociological Science July 10, 2023
10.15195/v10.a16

Mads Meier Jæger: Department of Sociology, University of Copenhagen
E-mail: mmj@soc.ku.dk

Stine Møllegaard: The Danish Evaluation Institute
E-mail: SPE@eva.dk

  • Citation: Jæger, Mads Meier, and Stine Møllegaard. 2023. “‘Looking for It in Genetix’: Response to Comment.” Sociological Science 10: 467-471.
  • Received: March 1, 2023
  • Accepted: March 3, 2023
  • Editors: Arnout van de Rijt
  • DOI: 10.15195/v10.a16


Where Do Cultural Tastes Come From? Genes, Environments, or Experiences

0

Eurythmics or Xenakis? Cultural Tastes (Are Not Made of Genes): Comment on Jæger and Møllegaard, "Where Do Cultural Tastes Come From? Genes, Environments, or Experiences"

Julien Larrègue, Frédéric Lebaron, Hervé Perdry, Nicolas Robette

Sociological Science July 10, 2023
10.15195/v10.a15

Julien Larrègue: Département de sociologie, Université Laval – Centre interuniversitaire de recherche sur la science et la technologie, Quebec, Canada
E-mail: julien.larregue@ulaval.ca

Frédéric Lebaron: IDHES, CNRS, École normale supérieure Paris-Saclay, and Université Paris-Saclay, Gif-sur-Yvette, France
E-mail: frederic.lebaron@ens-paris-saclay.fr

Hervé Perdry: CESP Inserm U1018, Université Paris-Saclay, Université de Versailles Saint-Quentin, Villejuif, France
E-mail: herve.perdry@inserm.fr

Nicolas Robette: Laboratoire Printemps, UMR8085, Université de Versailles Saint-Quentin, Guyancourt, France
E-mail: nicolas.robette@uvsq.fr

  • Citation: Larrègue, Julien, Frédéric Lebaron, Hervé Perdry, and Nicolas Robette. 2023. “Eurythmics or Xenakis? Cultural Tastes (Are Not Made of Genes): Comment on Jæger and Møllegaard, ‘Where Do Cultural Tastes Come From? Genes, Environments, or Experiences.'” Sociological Science 10: 454-466.
  • Received: November 18, 2022
  • Accepted: February 20, 2023
  • Editors: Arnout van de Rijt, Jeremy Freese
  • DOI: 10.15195/v10.a15


Where Do Cultural Tastes Come From? Genes, Environments, or Experiences

0

Money, Birth, Gender: Explaining Unequal Earnings Trajectories following Parenthood

Weverthon Machado, Eva Jaspers

Sociological Science May 17, 2023
10.15195/v10.a14


Using population register data from the Netherlands, we analyze the child penalty for new parents in three groups of couples: different-sex and female same-sex couples with a biological child and different-sex couples with an adopted child. With a longitudinal design, we follow parents’ earnings from two years before to eight years after the arrival of the child and use event study models to estimate the effects of the transition to parenthood on earnings trajectories. Comparing different groups of couples allows us to test hypotheses related to three types of within-couple differences that are difficult to disentangle when studying only heterosexual biological parents: relative earnings, childbearing, and gender. Our results offer strong support for gender as the main driver of divergent child penalties. The gender of their partners is more consequential for mothers’ earnings trajectories than is childbearing or the pre-parenthood relative earnings in the couple.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Weverthon Machado: Corresponding author. Department of Sociology, Utrecht University
E-mail: w.barbosamachado@uu.nl

Eva Jaspers: Department of Sociology, Utrecht University
E-mail: e.jaspers@uu.nl

Acknowledgments: We are grateful for valuable feedback from members of the GENPARENT project, namely, Marie Evertsson, Maaike van der Vleuten, Ylva Moberg, Allison Geerts, and Madeleine Eriksson Kirsch. Previous versions of his article were presented at theWork and Family seminar of the Department of Sociology at Utrecht University, the Inter-university Working Group on Social Inequality and Life Courses (ISOL), the Work and Family Researchers Network (WFRN) conference 2022, the European Population Conference (EPC) 2022, the European Consortium for Sociological Research (ECSR) conference 2022, and the ODISSEI Conference for Social Science in the Netherlands 2022. We thank participants in these sessions for their comments and suggestions.

Funding: This work was funded by the European Research Council under the European Union’s Horizon 2020 research and innovation programme, ERC Consolidator Grant (no. 771770) awarded to principal investigator Marie Evertsson. We also benefited from the support of ODISSEI, the Open Data Infrastructure for Social Science and Economic Innovations.

Data availability: We use population register data provided by Statistics Netherlands. The data are not publicly available, but interested researchers can, subject to eligibility, apply for access. See instructions at https://www.cbs.nl/en-gb/onze-diensten/customised-services-microdata/microdata-conducting-your-own-research. Code for reproducing our analyses is available at https://osf.io/gmcjv/.

  • Citation: Machado, Weverthon, and Eva Jaspers. 2023. “Money, Birth, Gender: Explaining Unequal Earnings Trajectories following Parenthood.” Sociological Science 10: 429-453.
  • Received: January 3, 2023
  • Accepted: March 21, 2023
  • Editors: Ari Adut, Vida Maralani
  • DOI: 10.15195/v10.a14


0

Differences in the Risk of Grade Retention for Biracial and Monoracial Students in the United States, 2010 to 2019

Aaron Gullickson

Sociological Science May 15, 2023
10.15195/v10.a13


Understanding how outcomes for biracial individuals compare with those for their monoracial peers is critical for understanding how patterns of racial inequality in the contemporary United States might be shifting. Yet, we know very little about the life chances of biracial individuals because of limitations in most available data sources. In this article, I utilize American Community Survey data from 2010 to 2019 to examine the risk of being clearly behind expected grade among biracial and monoracial K-12 students, helping to fill a gap in our understanding. With large sample sizes for most biracial groups, I am able to estimate grade retention risk for biracial students with enough precision to differentiate even modest differences in risk relative to monoracial groups. The results indicate that for most biracial groups, biracial students have risk similar to their lower-risk monoracial constituent group. Although biracial students tend to have favorable family resource characteristics, controlling for these characteristics does little to change the overall placement of their outcomes.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Aaron Gullickson: University of Oregon, Sociology
E-mail: aarong@uoregon.edu

Acknowledgments: Supplementary materials provided with this article include full model results upon which figures are based as well as any sensitivity analysis described herein. All code and data for this project are available at https://osf.io/4fevt/?view_only=4abc6d86595c4313a8d4792471e9bc0d.

  • Citation: Gullickson, Aaron. 2023. “Differences in the Risk of Grade Retention for Biracial and Monoracial Students in the United States, 2010 to 2019.” Sociological Science 10: 403-428.
  • Received: January 9, 2023
  • Accepted: March 17, 2023
  • Editors: Arnout van de Rijt, Filiz Garip
  • DOI: 10.15195/v10.a13


0

Income Inequality and Residential Segregation in "Egalitarian" Sweden: Lessons from a Least Likely Case

Selcan Mutgan, Jonathan J. B. Mijs

Sociological Science May 10, 2023
10.15195/v10.a12


Drawing on individual-level full-population data from Sweden, spanning four decades, we investigate the joint growth of income inequality and income segregation. We study Sweden as a “least likely” case comparison with the United States, given Sweden’s historically low levels of inequality and its comprehensive welfare state. Against the background of U.S.-based scholarship documenting a close link between inequality and segregation, our study provides an important insight into the universality of this relationship. Using entropy-based segregation measures, we analyze trends and patterns of income segregation between and within income groups along different sociodemographic dimensions—migration background and family type. Our findings reveal that growing income inequality in the last 30 years has been accompanied by a sharp uptake in income segregation, especially for the bottom quartile of the income distribution who are facing increasing isolation. Income segregation is most extensive for individuals with children in the household, among whom it has increased at a higher rate than those without children. Interestingly, income segregation is lower among non-Western minorities than among majority-group Swedes. We conclude that changes to the welfare state, liberalization of the housing market, and rapid demographic changes have led Sweden onto a path that is difficult to distinguish from that taken by the United States.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Selcan Mutgan: Department of Management and Engineering, Institute for Analytical Sociology, Linköping University
E-mail: selcan.mutgan@liu.se

Jonathan J. B. Mijs: Department of Sociology, Boston University; Department of Public Administration and Sociology, Erasmus University Rotterdam
E-mail: mijs@bu.edu

Acknowledgments: We would like to thank Maria Brandén, Jackelyn Hwang, Peter Hedström, and Jaap Nieuwenhuis for helpful feedback and comments on earlier versions of this manuscript. For their parts in the research on which the results are based, S.M. received funding from the Swedish Research Council (Vetenskapsrådet), grant numbers DNR 340-2013-5460, 445-2013-7681, and DNR 2020-02488, and J.J.B.M. received funding from a Marie Skłodowska-Curie Individual Fellowship, EU Commission Horizon 2020 grant number 88296, and a Veni grant (number VI.Veni.201S.003) from the Dutch Research Council.

  • Citation: Mutgan, Selcan, and Jonathan J. B. Mijs. 2023. “Income Inequality and Residential Segregation in ‘Egalitarian’ Sweden: Lessons from a Least Likely Case.” Sociological Science 10:374-402.
  • Received: December 9, 2022
  • Accepted: January 14, 2023
  • Editors: Ari Adut, Cristobal Young
  • DOI: 10.15195/v10.a12


0

Recreating a Plausible Future: Combining Cultural Repertoires in Unsettled Times

Shira Zilberstein, Michèle Lamont, Mari Sanchez

Sociological Science May 3, 2023
10.15195/v10.a11


This article analyzes how young adults draw on cultural resources to understand their identities, aspirations, and goals when taken-for-granted scripts of success are perceived as less desirable or achievable. Drawing on pragmatism, we propose the concept of “plausible futures” to capture how people rearrange elements within cultural repertoires as a practical and moral project to define their identities, aspirations, and goals. We draw on interviews with 80 college students concerning how they understand their future aspirations, including how they define personal success and broader social goals, when they face unpredictability in, and dissatisfaction with, achieving dominant meritocratic and socioeconomic ideals. We find that respondents combine elements from four cultural repertoires to work toward and envision their future: the American dream and neoliberalism, the therapeutic culture, ordinary cosmopolitanisms, and a “Gen Z” cohort narrative. The combining of elements from each repertoire enables a hybrid set of cultural tools that hold to tenets of hard work and self-reliance while accommodating the quest for greater recognition and inclusion. We show that respondents combine cultural elements based on their ability to connect elements to futures perceived as viable and valuable.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Shira Zilberstein: Department of Sociology, Harvard University
E-mail: szilberstein@fas.harvard.edu

Michèle Lamont: Department of Sociology, Harvard University
E-mail: mlamont@wjh.harvard.edu

Mari Sanchez: Department of Sociology, Harvard University
E-mail: mjsanchez@g.harvard.edu

Acknowledgments: Michèle Lamont acknowledges a residential fellowship at the Russell Sage Foundation (2019–20) and a Carnegie Fellowship (2019–21). The authors thank the other members of the research team: Laura Adler, Jonathan Cook, Elena Ayala-Hurtado, Nicole Letourneau, Derek Robey, and Priya Thelapurath. We also thank Lisa Albert and Kathleen Hoover for their technical assistance. This article benefited from comments from members of the American Sociological Association panel on Between Collapse and Utopia; the Culture workshop at New York University; the Race, Ethnicity, and Migration Workshop at Columbia University; and the Comparative Inequality and Inclusion Cluster, Culture and Social Analysis Workshop, and “Inside the Sausage Factory” workshop at Harvard University. We thank the following colleagues for their comments: Francesca Polletta, Manja Klemencic, Ann Mische, and Elena Ayala-Hurtado.

  • Citation: Zilberstein, Shira, Michèle Lamont, and Mari Sanchez. 2023. “Recreating a Plausible Future: Combining Cultural Repertoires in Unsettled Times.” Sociological Science 10: 348-373.
  • Received: August 27, 2022
  • Accepted: March 14, 2023
  • Editors: Ari Adut, Stephen Vaisey
  • DOI: 10.15195/v10.a11


0

Marginal Odds Ratios: What They Are, How to Compute Them, and Why Sociologists Might Want to Use Them

Kristian Bernt Karlson, Ben Jann

Sociological Science April 27, 2023
10.15195/v10.a10


As sociologists are increasingly turning away from using odds ratios, reporting average marginal effects is becoming more popular. We aim to restore the use of odds ratios in sociological research by introducing marginal odds ratios. Unlike conventional odds ratios, marginal odds ratios are not affected by omitted covariates in arbitrary ways. Marginal odds ratios thus behave like average marginal effects but retain the relative effect interpretation of the odds ratio. We argue that marginal odds ratios are well suited for much sociological inquiry and should be reported as a complement to the reporting of average marginal effects. We define marginal odds ratios in terms of potential outcomes, show their close relationship to average marginal effects, and discuss their potential advantages over conventional odds ratios. We also briefly discuss how to estimate marginal odds ratios and present examples comparing marginal odds ratios with conventional odds ratios and average marginal effects.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Kristian Bernt Karlson: Department of Sociology, University of Copenhagen
E-mail: kbk@soc.ku.dk

Ben Jann: Institute of Sociology, University of Bern
E-mail: ben.jann@unibe.ch

Acknowledgments: We thank the following for invaluable comments and feedback: Tim Liao, Mike Hout, Rudolf Farys, and Jesper Fels Birkelund, as well as participants at the Hans Schadee Research Methods Center Seminar on November 3, 2022, at Trento University; the Seminar on Analytical Sociology on November 14–17, 2022, at Venice International University; and the 2022 Swiss Stata Meeting on November 18, 2022, at University of Bern. For Kristian Bernt Karlson, the research leading to the results presented in this article has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 851293). Replication materials for the examples reported in this article are available here: https://osf.io/xkre6/.

  • Citation: Karlson, Kristian Bernt, and Ben Jann. 2023. “Marginal Odds Ratios: What They Are, How to Compute Them, and Why Sociologists Might Want to Use Them.” Sociological Science 10: 332-347.
  • Received: January 31, 2023
  • Accepted: February 17, 2023
  • Editors: Arnout van de Rijt, Stephen Vaisey
  • DOI: 10.15195/v10.a10


0

From Social Alignment to Social Control: Reporting the Taliban in Afghanistan

Patrick Bergemann, Austin L. Wright

Sociological Science April 17, 2023
10.15195/v10.a9


In many settings, witnesses can report wrongdoing to internal authorities such as officials within an organization or to external authorities such as the police. We theorize this decision of where to report as rooted in the policing of group boundaries, as the use of different reporting channels symbolically affirms or disaffirms affiliation with different social categories. As such, both witnesses and other social actors have an interest in where witnesses report. We evaluate this theory using villagers’ reporting of illegal Taliban activity in Afghanistan in 2017 and 2018, where witnesses could report externally (e.g., to the national police) or internally (e.g., to village elders). We show how responses to wrongdoing arose from the interaction between self and others’ attitudes toward the Taliban, and we reveal how reporting can be simultaneously punitive for the wrongdoer and affiliative for the category to which the wrongdoer belongs.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Patrick Bergemann: Paul Merage School of Business, University of California, Irvine
E-mail: pbergema@uci.edu

Austin L. Wright: Harris School of Public Policy, The University of Chicago
E-mail: austinlw@uchicago.edu

Acknowledgments: The authors are grateful to the U.S. Military for granting access to the survey materials used in this study. A particular debt of gratitude is owed to Phil Eles, senior research scientist at NATO, for providing continued support for this research and related projects. The authors would also like to thank Amanda Sharkey and Daniel Karell for their helpful comments. This article benefited from presentations at the Comparative Research Workshop at Yale University and at the Paul Merage School of Business at the University of California, Irvine.

  • Citation: Bergemann, Patrick, and Austin L. Wright. 2023. “From Social Alignment to Social Control: Reporting the Taliban in Afghanistan.” Sociological Science 10: 286-331.
  • Received: January 12, 2023
  • Accepted: February 19, 2023
  • Editors: Ari Adut, Andreas Wimmer
  • DOI: 10.15195/v10.a9


0

Findings on Summer Learning Loss Often Fail to Replicate, Even in Recent Data

Joseph Workman, Paul T. von Hippel, Joseph Merry

Sociological Science March 30, 2023
10.15195/v10.a8


It is widely believed that (1) children lose months of reading and math skills over summer vacation and that (2) inequality in skills grows much faster during summer than during school. Concerns have been raised about the replicability of evidence for these claims, but an impression may exist that nonreplicable findings are limited to older studies. After reviewing the 100-year history of nonreplicable results on summer learning, we compared three recent data sources (ECLS- K:2011, NWEA, and Renaissance) that tracked U.S. elementary students’ skills through school years and summers in the 2010s. Most patterns did not generalize beyond a single test. Summer losses looked substantial on some tests but not on others. Score gaps—between schools and students of different income levels, ethnicities, and genders—grew on some tests but not on others. The total variance of scores grew on some tests but not on others. On tests where gaps and variance grew, they did not consistently grow faster during summer than during school. Future research should demonstrate that a summer learning pattern replicates before drawing broad conclusions about learning or inequality.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Joseph Workman: University of Missouri, Kansas City
E-mail: workmanj@umkc.edu

Paul T. von Hippel: University of Texas, Austin
E-mail: paulvonhippel@utexas.edu

Joseph Merry: Furman University
E-mail: joseph.merry@furman.edu

Acknowledgments: Replication code is available at https://osf.io/f4jrb/. Unfortunately, we cannot share vendor data from NWEA and Renaissance Learning, but the ECLS-K:2011 is available to any researcher with a restricted-data license.

  • Citation: Workman, Joseph, Paul T. von Hippel, and Joseph Merry. 2023. “Findings on Summer Learning Loss Often Fail to Replicate, Even in Recent Data.” Sociological Science 10: 251-285.
  • Received: January 6, 2023
  • Accepted: February 6, 2023
  • Editors: Arnout van de Rijt, Richard Breen
  • DOI: 10.15195/v10.a8


0

Homophily, Setbacks, and the Dissolution of Heterogeneous Ties: Evidence from Professional Tennis

Xuege (Cathy) Lu, Shinan Wang, Letian Zhang

Sociological Science March 24, 2023
10.15195/v10.a7


Why do people engage with similar others despite ample opportunities to interact with dissimilar others? We argue that adversity or setbacks may have a stronger deteriorative effect on ties made up of dissimilar individuals, prompting people to give up on such ties more easily, which, over the long run, results in people forming ties with similar others. We examine this argument in the context of Association of Tennis Professionals tournaments, using data on 9,669 unique doubles pairs involving 1,812 unique players from 99 countries from 2000 to 2020. We find that doubles pairs with players from different countries are more likely to dissolve after a setback, especially if those countries lack social trust and connections with one another; this reality further contributes to the individual player’s increased tendency to collaborate with same-country players in the next tournament. Our study has direct implications for interventions for diversity and inclusion.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Xuege (Cathy) Lu: Carlson School of Management, University of Minnesota
E-mail: xuegelu@umn.edu

Shinan Wang: Kellogg School of Management, Northwestern University
E-mail: shinan.wang@kellogg.northwestern.edu

Letian Zhang: Harvard Business School
E-mail: lzhang@hbs.edu

Acknowledgments: We thank Alice (Can) Wang for excellent research assistance. Our data and replication code can be found via https://osf.io/x23ay/?view_only=9521ee27707944fa80004f0561372943.

  • Citation: Lu, Xuege (Cathy), Shinan Wang, and Letian Zhang. 2023. “Homophily, Setbacks, and the Dissolution of Heterogeneous Ties: Evidence from Professional Tennis.” Sociological Science 10: 227-250.
  • Received: September 28, 2022
  • Accepted: December 12, 2022
  • Editors: Arnout van de Rijt, Andreas Wimmer
  • DOI: 10.15195/v10.a7


0

Ethno-nationalism and Right-Wing Extremist Violence in the United States, 2000 through 2018

Susan Olzak

Sociological Science March 20, 2023
10.15195/v10.a6


Influential studies of right-wing extremist violence offer evidence that such violence is motivated by grievances intensified by a perceived loss in status or by economic dislocations. This article moves away from an emphasis on grievances by turning to theories of ethno-nationalism and group conflict. Ethno-nationalism is in part driven by attitudes of dominant groups favoring ethnic exclusion, whereas group threat theories explain that ethnic diversity increases the salience of ethnic boundaries and fuels a collective response to group threat. Such threats encourage violence to contain this threat and restore dominance. Exclusionary attitudes and support for expanded gun rights in America further legitimize a culture of ethno-nationalism that encourages violent acts. I test these arguments with data from the Pew Research Center, the Southern Poverty Law Center, and the Extremist Crime Database on right-wing violence. The state-level and county-level results support the claim that rising ethnic diversity raises the rate and volume of right-wing violence significantly. State-level results also find that rising memberships in the National Rifle Association increase the rate of right-wing violence significantly.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Susan Olzak: Stanford University
E-mail: olzak@stanford.edu

Acknowledgments: The author thanks Trent Steidley, Holly Hansen, and Stephen C. Nemeth for providing some of the data used in this study. The author is grateful to Bart Bonikowski, Mike Hannan, Doug McAdam, Rory McVeigh, Sarah A. Soule, Andy Walder, and Nella Van Dyke for providing helpful suggestions and criticisms on earlier drafts.

  • Citation: Olzak, Susan. 2023. “Ethno-nationalism and Right-Wing Extremist Violence in the United States, 2000 through 2018.” Sociological Science 10:197-226.
  • Received: August 17, 2022
  • Accepted: December 8, 2022
  • Editors: Ari Adut, Peter Bearman
  • DOI: 10.15195/v10.a6


0

Dissecting the Lexis Table: Summarizing Population-Level Temporal Variability with Age–Period–Cohort Data

Ethan Fosse

Sociological Science March 13, 2023
10.15195/v10.a5


Since Norman Ryder’s (1965) classic essay on cohort analysis was published more than a half century ago, scores of researchers have attempted to uncover the separate effects of age, period, and cohort (APC) on a wide range of outcomes. However, rather than disentangling period effects from those attributable to age or cohort, Ryder’s approach is based on distinguishing intra-cohort trends (or life-cycle change) from inter-cohort trends (or social change), which, together, constitute comparative cohort careers. Following Ryder’s insights, in this article I show how to formally summarize population-level temporal variability on the Lexis table. In doing so, I present a number of parametric expressions representing intra- and inter-cohort trends, intra-period differences, and Ryderian comparative cohort careers. To aid the interpretation of results, I additionally introduce a suite of novel visualizations of these model-based summaries, including 2D and 3D Lexis heat maps. Crucially, the Ryderian approach developed in this article is fully identified, complementing (but not replacing) conventional approaches that rely on theoretical assumptions to parse out unique APC effects from unidentified models. This has the potential to provide a common base of knowledge in a literature often fraught with controversy. To illustrate, I analyze trends in social trust in the U.S. General Social Survey from 1972 to 2018.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Ethan Fosse: Department of Sociology, University of Toronto
E-mail: ethan.fosse@utoronto.ca

Acknowledgments: The author thanks Jessica Harris, Sebastien Parker, and Christopher Winship.

  • Citation: Fosse, Ethan. 2023. “Dissecting the Lexis Table: Summarizing Population-Level Temporal Variability with Age–Period–Cohort Data.” Sociological Science 10:
    150-196.
  • Received: April 7, 2022
  • Accepted: May 9, 2022
  • Editors: Arnout van de Rijt, Richard Breen
  • DOI: 10.15195/v10.a5


0

Testing Models of Cognition and Action Using Response Conflict and Multinomial Processing Tree Models

Andrew Miles, Gordon Brett, Salwa Khan, and Yagana Samim

Sociological Science March 07, 2023
10.15195/v10.a4


Dual-process perspectives have made substantial contributions to our understanding of behavior, but fundamental questions about how and when deliberate and automatic cognition shape action continue to be debated. Among these are whether automatic or deliberate cognition is ultimately in control of behavior, how often each type of cognition controls behavior in practice, and how the answers to each of these questions depends on the individual in question. To answer these questions, sociologists need methodological tools that enable them to directly test competing claims. We argue that this aim will be advanced by (a) using a particular type of data known as response conflict data and (b) analyzing those data using multinomial processing tree models. We illustrate the utility of this approach by reanalyzing three samples of data from Miles et al. (2019) on behaviors related to politics, morality, and race.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Andrew Miles: Department of Sociology, University of Toronto
E-mail: andrew.miles@utoronto.ca

Gordon Brett: Department of Sociology, University of Toronto
E-mail: gordon.brett@alum.utoronto.ca

Salwa Khan: Department of Sociology, University of Toronto
E-mail: slw.khan@mail.utoronto.ca

Yagana Samim: Department of Sociology, University of Toronto
E-mail: yagana.samim@mail.utoronto.ca

Acknowledgments: We wish to thank the reviewers and editors at Sociological Science for their helpful comments.

  • Citation: Miles, Andrew, Gordon Brett, Salwa Khan, and Yagana Samim. 2023. “Testing Models of Cognition and Action Using Response Conflict and Multinomial Processing Tree Models.” Sociological Science 10: 118-149.
  • Received: September 23, 2022
  • Accepted: November 22, 2022
  • Editors: Arnout van de Rijt, Werner Raub
  • DOI: 10.15195/v10.a4


0

Using Machine Learning to Uncover the Semantics of Concepts: How Well Do Typicality Measures Extracted from a BERT Text Classifier Match Human Judgments of Genre Typicality?

Gaël Le Mens, Balázs Kovács, Michael T. Hannan, Guillem Pros

Sociological Science March 3, 2023
10.15195/v10.a3


Social scientists have long been interested in understanding the extent to which the typicalities of an object in concepts relate to its valuations by social actors. Answering this question has proven to be challenging because precise measurement requires a feature-based description of objects. Yet, such descriptions are frequently unavailable. In this article, we introduce a method to measure typicality based on text data. Our approach involves training a deep-learning text classifier based on the BERT language representation and defining the typicality of an object in a concept in terms of the categorization probability produced by the trained classifier. Model training allows for the construction of a feature space adapted to the categorization task and of a mapping between feature combination and typicality that gives more weight to feature dimensions that matter more for categorization. We validate the approach by comparing the BERT-based typicality measure of book descriptions in literary genres with average human typicality ratings. The obtained correlation is higher than 0.85. Comparisons with other typicality measures used in prior research show that our BERT-based measure better reflects human typicality judgments.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Gaël Le Mens: Department of Economics and Business, Universitat Pompeu Fabra (UPF), Barcelona School of Economics, and UPF Barcelona School of Management, Barcelona, Spain
E-mail: gael.le-mens@upf.edu

Balázs Kovács: School of Management, Yale University, New Haven, CT, USA
E-mail: balazs.kovacs@yale.edu

Michael T. Hannan: Graduate School of Business, Stanford University, Stanford, CA, USA
E-mail: hannan@stanford.edu

Guillem Pros: Department of Economics and Business, Universitat Pompeu Fabra, Barcelona, Spain
E-mail: guillem.pros@upf.edu

Acknowledgments: We are grateful to Jerker Denrell, Amir Goldberg, Greta Hsu, Thorbjørn Knudsen, Cecilia Nunes, and Phanish Puranam for discussion of ideas developed in this article and for the detailed feedback we received from them on the earlier versions. We thank conference participants at the 2021 and 2022 Nagymaros Conferences for valuable feedback and discussion. G. Le Mens and G. Pros received financial support from ERC Consolidator Grant #772268 from the European Commission. G. Le Mens also received financial support from grant PID2019-105249GBI00/ AEI/10.13039/501100011033 from the Spanish Ministerio de Ciencia, Innovacion y Universidades (MCIU) and the Agencia Estatal de Investigacion (AEI) and from the BBVA Foundation Grant G999088Q. B. Kovács was supported by Yale School of Management. M. Hannan was supported by the Stanford Graduate School of Business. Data, material, and analysis code for all analyses are available online at https://osf.io/ta273/. We encourage readers to download the shared folder and use the code to compute BERT typicality on their own data sets.

  • Citation: Le Mens, Gaël, Balázs Kovács, Michael T. Hannan, and Guillem Pros. 2023. “Using Machine Learning to Uncover the Semantics of Concepts: How Well Do Typicality Measures Extracted from a BERT Text Classifier Match Human Judgments of Genre Typicality?” Sociological Science 10: 82-117.
  • Received: September 28, 2022
  • Accepted: November 9, 2022
  • Editors: Ari Adut, Filiz Garip
  • DOI: 10.15195/v10.a3


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Do Organizational Policies Narrow Gender Inequality? Novel Evidence from Longitudinal Employer–Employee Data

Florian Zimmermann, Matthias Collischon

Sociological Science February 28, 2023
10.15195/v10.a2


Scholars have long proposed that gender inequalities in wages are narrowed by organizational policies to advance gender equality. Using cross-sectional data, scarce previous research has found an association between gender wage inequalities and these organizational policies, but it remains unclear whether this correlation represents a causal effect. We provide first evidence on this topic by using longitudinal linked employer–employee data covering almost 1,500 firms and nearly one million employee observations in Germany. We investigate whether and how organizational policies affect gender gaps using firm fixed-effects regressions. Our results show that organizational policies reduce the gender wage gap by around nine percent overall. Investigating channels, we show that this effect is entirely driven by advancing women already employed at a given firm, whereas we find no effect on firms’ composition and wages of new hires. Furthermore, we show that our findings are not driven by potential sources of bias, such as reverse causality.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Florian Zimmermann: Corresponding author. Institut für Arbeitsmarkt-und Berufsforschung (IAB), Research Department PASS; FAU Erlangen-Nuremberg
E-mail: florian.zimmermann@iab.de

Matthias Collischon: Institut für Arbeitsmarkt-und Berufsforschung (IAB), Research Department PASS
E-mail: matthias.collischon2@iab.de

Acknowledgments: We thank Ann-Christin Bächmann, Dana Müller, and Michael Oberfichtner for their helpful comments.

  • Citation: Zimmermann, Florian, and Matthias Collischon. 2023. “Do Organizational Policies Narrow Gender Inequality? Novel Evidence from Longitudinal Employer–Employee Data.” Sociological Science 10: 47-81.
  • Received: September 1, 2022
  • Accepted: October 29, 2022
  • Editors: Arnout van de Rijt, Vida Maralani
  • DOI: 10.15195/v10.a2


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Layered Legacies. How Multiple Histories Shaped the Attitudes of Contemporary Europeans

Andreas Wimmer

Sociological Science February 23, 2023
10.15195/v10.a1


This article introduces the concept of multiple, layered, and interacting histories, which opens four new avenues of research. We can ask which types of institutions or events, such as states, religions, or war, are more likely to leave a historical legacy. We can also explore why only certain states, religions, or wars leave legacies. We can compare the consequences of older and newer layers of history, such as of a series of successor states. Finally, these layers may interact with each other by preserving, neutralizing, or amplifying each other’s effects. To illustrate these new research avenues, I use measurements of value orientations as well as generalized trust from the European Social Survey as dependent variables. New data on the history of states as well as the wars fought since 1500 are combined with existing data on the medieval policies of the Church, all coded at the level of 411 European regions. A series of regression models suggests that the political history of states is more consequential for contemporary attitudes than medieval religious policies or wars, that older layers of states can be as impactful as more recent ones, that interactions between layers are frequent, and that modern nation-states are more likely to leave a legacy than other types of polities.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Andreas Wimmer: Department of Sociology, Columbia University
E-mail: andreas.wimmer@columbia.edu

Acknowledgments: I thank Berenike Firestone and Jiyeon Chang for outstanding research assistance in creating the political history data set and for comments on a first draft; Thomas Soehl and Ka U Ng for assembling a merged data set with the ESS variables; Flavien Ganther for guidance on how to describe the statistical models; SangWon Han as well as Jack la Violette for creating the geocoded battlefield data set; and Sidney Hemming for encouraging my use of geological metaphors.

  • Citation: Wimmer, Andreas. 2023. “Layered Legacies. How Multiple Histories Shaped the Attitudes of Contemporary Europeans.” Sociological Science 10:1-46.
  • Received: June 26, 2022
  • Accepted: August 24, 2022
  • Editors: Ari Adut, Gabriel Rossman
  • DOI: 10.15195/v10.a1


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Measuring Memberships in Collectives in Light of Developments in Cognitive Science and Natural-Language Processing

Michael T. Hannan

Sociological Science December 16, 2022
10.15195/v9.a19


Which individuals and corporate actors belong in a collective, and who decides? Sociology has not had good analytical tools for addressing these questions. Recent work that adapts probabilistic representations of concepts and probabilistic categorization to sociological research opens opportunities for making progress on the measurement of memberships. It turns out that the probabilistic cognitive-based reformulation reveals unexpected connections to language models and natural-language processing. In particular, the leading probabilistic classifier BERT provides new and powerful ways to measure core concepts.
Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Michael T. Hannan: Graduate School of Business, Stanford University
E-mail: hannan@stanford.edu

Acknowledgments: I have drawn liberally from joint work with Glenn Carroll, Greta Hsu, Balázs Kovács, Gaël Le Mens, Giacomo Negro, Lászlo Pólos, Elizabeth Pontikes, and Amanda Sharkey. I thank them and Susan Olzak for their comments. They are not, of course, responsible for how I use their work here.

  • Citation: Hannan, Michael T. 2022. “Measuring Memberships in Collectives in Light of Developments in Cognitive Science and Natural-Language Processing.” Sociological Science 9:473-492.
  • Received: August 8, 2022
  • Accepted: September 28, 2022
  • Editors: Ari Adut, Ray Reagans
  • DOI: 10.15195/v9.a19


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