{"title":"Findings on Summer Learning Loss Often Fail to Replicate, Even in Recent Data","authors":"Joseph Workman, Paul T. von Hippel, Joseph Merry","doi":"10.15195/v10.a8","DOIUrl":"https://doi.org/10.15195/v10.a8","url":null,"abstract":"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.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"51 11","pages":""},"PeriodicalIF":3.4,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50167262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Homophily, Setbacks, and the Dissolution of Heterogeneous Ties: Evidence from Professional Tennis","authors":"Xuege (Cathy) Lu, Shinan Wang, Letian Zhang","doi":"10.15195/v10.a7","DOIUrl":"https://doi.org/10.15195/v10.a7","url":null,"abstract":"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.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"44 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50167453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dissecting the Lexis Table: Summarizing Population-Level Temporal Variability with Age–Period–Cohort Data","authors":"Ethan Fosse","doi":"10.15195/v10.a5","DOIUrl":"https://doi.org/10.15195/v10.a5","url":null,"abstract":"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.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"43 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50167458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrew Miles, Gordon Brett, Salwa Khan, Yagana Samim
{"title":"Testing Models of Cognition and Action Using Response Conflict and Multinomial Processing Tree Models","authors":"Andrew Miles, Gordon Brett, Salwa Khan, Yagana Samim","doi":"10.15195/v10.a4","DOIUrl":"https://doi.org/10.15195/v10.a4","url":null,"abstract":"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.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"42 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50167462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gaël Le Mens, Balázs Kovács, Michael T. Hannan, Guillem Pros
{"title":"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?","authors":"Gaël Le Mens, Balázs Kovács, Michael T. Hannan, Guillem Pros","doi":"10.15195/v10.a3","DOIUrl":"https://doi.org/10.15195/v10.a3","url":null,"abstract":"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.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"41 4","pages":""},"PeriodicalIF":3.4,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50167463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Do Organizational Policies Narrow Gender Inequality? Novel Evidence from Longitudinal Employer–Employee Data","authors":"Florian Zimmermann, Matthias Collischon","doi":"10.15195/v10.a2","DOIUrl":"https://doi.org/10.15195/v10.a2","url":null,"abstract":"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.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"40 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50167468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Layered Legacies. How Multiple Histories Shaped the Attitudes of Contemporary Europeans","authors":"Andreas Wimmer","doi":"10.15195/v10.a1","DOIUrl":"https://doi.org/10.15195/v10.a1","url":null,"abstract":"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.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"37 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50167473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Marginal Odds Ratios: What They Are, How to Compute Them, and Why Sociologists Might Want to Use Them","authors":"K. Karlson, Ben Jann","doi":"10.15195/v10.a10","DOIUrl":"https://doi.org/10.15195/v10.a10","url":null,"abstract":"","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"1 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66863599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cross-Group Differences in Age, Period, and Cohort Effects: A Bounding Approach to the Gender Wage Gap","authors":"Ohjae Gowen, Ethan Fosse, Christopher Winship","doi":"10.15195/v10.a26","DOIUrl":"https://doi.org/10.15195/v10.a26","url":null,"abstract":": For decades, researchers have sought to understand the separate contributions of age, period, and cohort (APC) on a wide range of outcomes. However, a major challenge in these efforts is the linear dependence among the three time scales. Previous methods have been plagued by either arbitrary assumptions or extreme sensitivity to small variations in model specification. In this article, we present an alternative method that achieves partial identification by leveraging additional information about subpopulations (or strata) such as race, gender, and social class. Our first goal is to introduce the cross-strata linearized APC (CSL-APC) model, a re-parameterization of the traditional APC model that focuses on cross-group variations in effects instead of overall effects. Similar to the traditional model, the linear cross-strata APC effects are not identified. The second goal is to show how Fosse and Winship’s (2019) bounding approach can be used to address the identification problem of the CSL-APC model, allowing one to partially identify cross-group differences in effects. This approach often involves weaker assumptions than previously used techniques and, in some cases, can lead to highly informative bounds. To illustrate our method, we examine differences in temporal effects on wages between men and women in the United States.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136301589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Larrègue, Frédéric Lebaron, H. Perdry, N. Robette
{"title":"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”","authors":"J. Larrègue, Frédéric Lebaron, H. Perdry, N. Robette","doi":"10.15195/v10.a15","DOIUrl":"https://doi.org/10.15195/v10.a15","url":null,"abstract":"A N article recently published in Sociological Science explored cultural tastes and practices in Denmark using a behavioral genetic lens (Jæger and Møllegaard 2022). Using data from monozygotic and dizygotic twins, the authors concluded that shared familial environments mattered less than genetic factors, thus questioning the soundness of established sociological theorizations of cultural inequalities, including Bourdieu’s Distinction (P. 266). After a close methodological and conceptual examination, our main conclusion is that social scientists should lend little credence to the claims put forth by Jæger and Møllegaard, which fall short of the methodological and conceptual standards habitually upheld in both sociology and behavior genetics. This is true whether we selectively focus","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"1 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66863869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}