In this rejoinder to Kristian Bernt Karlson (KBK), we maintain that there are substantial differences in intergenerational educational mobility between Denmark and the United States. In fact, when we include additional parental information from the National Longitudinal Survey of Youth 1997 (NLSY97) for the United States, as suggested by KBK, the gap between Denmark and the United States increases. To confirm our findings, we show that the same conclusion about markedly higher educational mobility in Denmark holds when data from the General Social Survey are substituted for the NLSY97.
{"title":"Yes, Denmark Is a More Educationally Mobile Society than the United States: Rejoinder to Kristian Karlson","authors":"S. Andrade, J. Thomsen","doi":"10.15195/v8.a18","DOIUrl":"https://doi.org/10.15195/v8.a18","url":null,"abstract":"In this rejoinder to Kristian Bernt Karlson (KBK), we maintain that there are substantial differences in intergenerational educational mobility between Denmark and the United States. In fact, when we include additional parental information from the National Longitudinal Survey of Youth 1997 (NLSY97) for the United States, as suggested by KBK, the gap between Denmark and the United States increases. To confirm our findings, we show that the same conclusion about markedly higher educational mobility in Denmark holds when data from the General Social Survey are substituted for the NLSY97.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"1 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66865560","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}
: Although there has been a fast rise in the share of Americans reporting no religion, it is unclear whether this trend has affected different parts of the country equally. Against this backdrop, we apply dynamic multilevel regression and poststratification (Dynamic MRP) to General Social Survey data over the period 1973 to 2018 to estimate state-level religious trends. We validate our estimates against external benchmarks, finding that they perform well in terms of predictive accuracy. Substantively, we find steeper increases in the share of religious nones in states that had more nones to begin with. Moreover, whereas state-level increases in the share of religious nones are strongly linked to declines in occasional church attendance and moderate religious identification, the associations with trends in regular attendance and strong identification are much weaker. States have thus not only diverged in their share of religious nones but also experienced different degrees of religious polarization.
{"title":"The Rise of the Nones across the United States, 1973 to 2018: State-Level Trends of Religious Affiliation and Participation in the General Social Survey","authors":"D. Wiertz, Chaeyoon Lim","doi":"10.15195/v8.a21","DOIUrl":"https://doi.org/10.15195/v8.a21","url":null,"abstract":": Although there has been a fast rise in the share of Americans reporting no religion, it is unclear whether this trend has affected different parts of the country equally. Against this backdrop, we apply dynamic multilevel regression and poststratification (Dynamic MRP) to General Social Survey data over the period 1973 to 2018 to estimate state-level religious trends. We validate our estimates against external benchmarks, finding that they perform well in terms of predictive accuracy. Substantively, we find steeper increases in the share of religious nones in states that had more nones to begin with. Moreover, whereas state-level increases in the share of religious nones are strongly linked to declines in occasional church attendance and moderate religious identification, the associations with trends in regular attendance and strong identification are much weaker. States have thus not only diverged in their share of religious nones but also experienced different degrees of religious polarization.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"1 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66865154","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}
Pub Date : 2021-01-01Epub Date: 2021-03-22DOI: 10.15195/v8.a5
Stephen Vaisey, Kevin Kiley
Recent work argues that changes in people's responses to the same question over time should be thought of as reflecting a fixed baseline subject to temporary local influences, rather than durable changes in response to new information. Distinguishing between these two individual-level process-a settled dispositions model and an active updating model-is important because these individual-level processes underlie different theories of population-level social change. This article introduces an alternative method for adjudicating between these two models based on structural equation modeling. This model provides a close fit to the theoretical models outlined in previous work. Applying this method to more than 500 questions in the General Social Survey's three-wave panels, we find even stronger evidence than previous work that most survey responses reflect settled dispositions developed prior to adulthood.
{"title":"A Model-Based Method for Detecting Persistent Cultural Change Using Panel Data.","authors":"Stephen Vaisey, Kevin Kiley","doi":"10.15195/v8.a5","DOIUrl":"https://doi.org/10.15195/v8.a5","url":null,"abstract":"<p><p>Recent work argues that changes in people's responses to the same question over time should be thought of as reflecting a fixed baseline subject to temporary local influences, rather than durable changes in response to new information. Distinguishing between these two individual-level process-a settled dispositions model and an active updating model-is important because these individual-level processes underlie different theories of population-level social change. This article introduces an alternative method for adjudicating between these two models based on structural equation modeling. This model provides a close fit to the theoretical models outlined in previous work. Applying this method to more than 500 questions in the General Social Survey's three-wave panels, we find even stronger evidence than previous work that most survey responses reflect settled dispositions developed prior to adulthood.</p>","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"8 ","pages":"83-95"},"PeriodicalIF":3.4,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715548/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39780106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kwan Woo Kim, Alexandra Kalev, F. Dobbin, Gal Deutsch
The demographic composition of the U.S. professoriate affects student composition and, thus, the pipeline for professional and managerial jobs. Amid concern about the effects of the COVID-19 crisis on the labor market, much remains unknown about how economic downturns affect faculty hiring and the demographic makeup of hires. We examine the effects of the Great Recession on faculty hiring. That crisis walloped the U.S. academic labor market. Tenure-track hires in four-year colleges and universities declined by 25 percent between 2007 and 2009, recovering slowly through 2015. Hires of black, Hispanic, and Asian American faculty declined disproportionately. Public institutions and research-oriented institutions, which faced the greatest resource challenges and uncertainty about the future, made the biggest cuts in the hiring of people of color. Our findings suggest that financial uncertainty led to a reversal in progress on faculty diversity. Faculty and administrators making hiring decisions in the years following the COVID-19 crisis should be aware of this pattern.
{"title":"Crisis and Uncertainty: Did the Great Recession Reduce the Diversity of New Faculty?","authors":"Kwan Woo Kim, Alexandra Kalev, F. Dobbin, Gal Deutsch","doi":"10.15195/v8.a15","DOIUrl":"https://doi.org/10.15195/v8.a15","url":null,"abstract":"The demographic composition of the U.S. professoriate affects student composition and, thus, the pipeline for professional and managerial jobs. Amid concern about the effects of the COVID-19 crisis on the labor market, much remains unknown about how economic downturns affect faculty hiring and the demographic makeup of hires. We examine the effects of the Great Recession on faculty hiring. That crisis walloped the U.S. academic labor market. Tenure-track hires in four-year colleges and universities declined by 25 percent between 2007 and 2009, recovering slowly through 2015. Hires of black, Hispanic, and Asian American faculty declined disproportionately. Public institutions and research-oriented institutions, which faced the greatest resource challenges and uncertainty about the future, made the biggest cuts in the hiring of people of color. Our findings suggest that financial uncertainty led to a reversal in progress on faculty diversity. Faculty and administrators making hiring decisions in the years following the COVID-19 crisis should be aware of this pattern.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"1 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66865506","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}
This article examines whether network instability—namely, the extent of turnover in a person’s social network over time—is a distinct social process that affects individual well-being. Using a unique two-wave network data set collected in a field experiment that involved more than 21,100 students across 56 middle schools, we find a strong negative association between network instability and well-being and academic effort at the individual level, independent of other types of network change effects. We assess whether the negative effect of network instability remains when the source of instability is exogenous, the result of participation in the randomized intervention. Network instability leads to negative consequences even in this context, negatively impacting students who directly participated in the intervention. For nonintervention students in treatment schools, the intervention stabilized their social networks. We discuss the implications of these findings for studies of social networks and collective action.
{"title":"The Toll of Turnover: Network Instability, Well-Being, and Academic Effort in 56 Middle Schools","authors":"Hana Shepherd, A. Reich","doi":"10.15195/v7.a28","DOIUrl":"https://doi.org/10.15195/v7.a28","url":null,"abstract":"This article examines whether network instability—namely, the extent of turnover in a person’s social network over time—is a distinct social process that affects individual well-being. Using a unique two-wave network data set collected in a field experiment that involved more than 21,100 students across 56 middle schools, we find a strong negative association between network instability and well-being and academic effort at the individual level, independent of other types of network change effects. We assess whether the negative effect of network instability remains when the source of instability is exogenous, the result of participation in the randomized intervention. Network instability leads to negative consequences even in this context, negatively impacting students who directly participated in the intervention. For nonintervention students in treatment schools, the intervention stabilized their social networks. We discuss the implications of these findings for studies of social networks and collective action.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"7 1","pages":"663-691"},"PeriodicalIF":3.4,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45158443","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}
Drawing on millions of court records of eviction cases filed between 2012 and 2016 in 39 states, this study documents the racial and gender demographics of America's evicted population. Black renters received a disproportionate share of eviction filings and experienced the highest rates of eviction filing and eviction judgment. Black and Latinx female renters faced higher eviction rates than their male counterparts. Black and Latinx renters were also more likely to be serially filed against for eviction at the same address. These findings represent the most comprehensive investigation to date of racial and gender disparities among evicted renters in the United States.
{"title":"Racial and Gender Disparities among Evicted Americans","authors":"P. Hepburn, Renee Louis, Matthew Desmond","doi":"10.15195/v7.a27","DOIUrl":"https://doi.org/10.15195/v7.a27","url":null,"abstract":"Drawing on millions of court records of eviction cases filed between 2012 and 2016 in 39 states, this study documents the racial and gender demographics of America's evicted population. Black renters received a disproportionate share of eviction filings and experienced the highest rates of eviction filing and eviction judgment. Black and Latinx female renters faced higher eviction rates than their male counterparts. Black and Latinx renters were also more likely to be serially filed against for eviction at the same address. These findings represent the most comprehensive investigation to date of racial and gender disparities among evicted renters in the United States.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"7 1","pages":"649-662"},"PeriodicalIF":3.4,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48511010","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}
Collective behavior can be notoriously hard to predict. We revisited a possible explanation suggested by Granovetter’s classic threshold model: collective behavior can unexpectedly fail, despite a group’s strong interest in the outcome, because of the sensitivity of cascades to small random perturbations in group composition and the distribution of thresholds. Paradoxically, we found that a small amount of randomness in individual behavior can make collective behavior less sensitive to these perturbations and therefore more predictable. We also examined conditions in which collective behavior unexpectedly succeeds despite the group’s weak interest in the outcome. In groups with an otherwise intractable start-up problem, individual randomness can lead to spontaneous instigation, making outcomes more sensitive to the strength of collective interests and therefore more predictable. These effects of chance behavior become much more pronounced as group size increases. Although randomness is often assumed to be a theoretically unimportant residual category, our findings point to the need to bring individual idiosyncrasy back into the study of collective behavior.
{"title":"Threshold Models of Collective Behavior II: The Predictability Paradox and Spontaneous Instigation","authors":"M. Macy, A. Evtushenko","doi":"10.15195/v7.a26","DOIUrl":"https://doi.org/10.15195/v7.a26","url":null,"abstract":"Collective behavior can be notoriously hard to predict. We revisited a possible explanation suggested by Granovetter’s classic threshold model: collective behavior can unexpectedly fail, despite a group’s strong interest in the outcome, because of the sensitivity of cascades to small random perturbations in group composition and the distribution of thresholds. Paradoxically, we found that a small amount of randomness in individual behavior can make collective behavior less sensitive to these perturbations and therefore more predictable. We also examined conditions in which collective behavior unexpectedly succeeds despite the group’s weak interest in the outcome. In groups with an otherwise intractable start-up problem, individual randomness can lead to spontaneous instigation, making outcomes more sensitive to the strength of collective interests and therefore more predictable. These effects of chance behavior become much more pronounced as group size increases. Although randomness is often assumed to be a theoretically unimportant residual category, our findings point to the need to bring individual idiosyncrasy back into the study of collective behavior.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"7 1","pages":"628-648"},"PeriodicalIF":3.4,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44519031","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}
David J. Brady, Ryan Finnigan, U. Kohler, Joscha Legewie
Vast racial inequalities continue to prevail across the United States and are closely linked to economic resources. One particularly prominent argument contends that childhood wealth accounts for black–white (BW) disadvantages in life chances. This article analyzes how much childhood wealth and childhood income mediate BW disadvantages in adult life chances with Panel Study of Income Dynamics and Cross-National Equivalent File data on children from the 1980s and 1990s who were 30+ years old in 2015. Compared with previous research, we exploit longer panel data, more comprehensively assess adult life chances with 18 outcomes, and measure income and wealth more rigorously. We find large BW disadvantages in most outcomes. Childhood wealth and income mediate a substantial share of most BW disadvantages, although there are several significant BW disadvantages even after adjusting for childhood wealth and income. The evidence mostly contradicts the prominent claim that childhood wealth is more important than childhood income. Indeed, the analyses mostly show that childhood income explains more of BW disadvantages and has larger standardized coefficients than childhood wealth. We also show how limitations in prior wealth research explain why our conclusions differ. Replication with the National Longitudinal Survey of Youth and a variety of robustness checks support these conclusions.
{"title":"The Inheritance of Race Revisited: Childhood Wealth and Income and Black–White Disadvantages in Adult Life Chances","authors":"David J. Brady, Ryan Finnigan, U. Kohler, Joscha Legewie","doi":"10.15195/v7.a25","DOIUrl":"https://doi.org/10.15195/v7.a25","url":null,"abstract":"Vast racial inequalities continue to prevail across the United States and are closely linked to economic resources. One particularly prominent argument contends that childhood wealth accounts for black–white (BW) disadvantages in life chances. This article analyzes how much childhood wealth and childhood income mediate BW disadvantages in adult life chances with Panel Study of Income Dynamics and Cross-National Equivalent File data on children from the 1980s and 1990s who were 30+ years old in 2015. Compared with previous research, we exploit longer panel data, more comprehensively assess adult life chances with 18 outcomes, and measure income and wealth more rigorously. We find large BW disadvantages in most outcomes. Childhood wealth and income mediate a substantial share of most BW disadvantages, although there are several significant BW disadvantages even after adjusting for childhood wealth and income. The evidence mostly contradicts the prominent claim that childhood wealth is more important than childhood income. Indeed, the analyses mostly show that childhood income explains more of BW disadvantages and has larger standardized coefficients than childhood wealth. We also show how limitations in prior wealth research explain why our conclusions differ. Replication with the National Longitudinal Survey of Youth and a variety of robustness checks support these conclusions.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"7 1","pages":"599-627"},"PeriodicalIF":3.4,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44563684","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}
Recent methodological work at the intersection of culture, cognition, and computational methods has drawn attention to how cultural schemas can be 'recovered' from social survey data. Defining cultural schemas as slowly learned, implicit, and unevenly distributed relational memory structures, researchers show how schemas—or rather, the downstream consequences of people drawing upon them—can be operationalized and measured from domain-specific survey modules. Respondents can then be sorted into 'classes' on the basis of the schema to which their survey response patterns best align. In this article, we extend this 'schematic class analysis' method to text data. We introduce concept class analysis (CoCA): a hybrid model that combines word embeddings and correlational class analysis to group documents across a corpus by the similarity of schemas recovered from them. We introduce the CoCA model, illustrate its validity and utility using simulations, and conclude with considerations for future research and applications.
{"title":"Concept Class Analysis: A Method for Identifying Cultural Schemas in Texts","authors":"Marshall A. Taylor, Dustin S. Stoltz","doi":"10.15195/v7.a23","DOIUrl":"https://doi.org/10.15195/v7.a23","url":null,"abstract":"Recent methodological work at the intersection of culture, cognition, and computational methods has drawn attention to how cultural schemas can be 'recovered' from social survey data. Defining cultural schemas as slowly learned, implicit, and unevenly distributed relational memory structures, researchers show how schemas—or rather, the downstream consequences of people drawing upon them—can be operationalized and measured from domain-specific survey modules. Respondents can then be sorted into 'classes' on the basis of the schema to which their survey response patterns best align. In this article, we extend this 'schematic class analysis' method to text data. We introduce concept class analysis (CoCA): a hybrid model that combines word embeddings and correlational class analysis to group documents across a corpus by the similarity of schemas recovered from them. We introduce the CoCA model, illustrate its validity and utility using simulations, and conclude with considerations for future research and applications.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"97 3","pages":"544-569"},"PeriodicalIF":3.4,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41269359","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}
'Microaggressions' is the term scholars and cultural commentators use to describe the ways that racism and other systems of oppression are upheld in everyday interactions. Although prior research has documented the types of microaggressions that individuals experience, we have lacked representative data on the prevalence of microaggressions in the general population. We introduce and evaluate five new survey items from the 2018 General Social Survey intended to capture five types of microaggressions. We assess the prevalence of each microaggression as well as a constructed microaggression scale across a key set of sociodemographic characteristics. We find that black Americans experience more microaggressions than other racialized groups, twice the rate of the general public for some types. Younger people report more microaggressions than older people. Women are more likely to report some types of microaggressions, and men others. Experiencing microaggressions is associated with an array of negative physical and mental health outcomes.
{"title":"Microaggressions in the United States","authors":"K. Douds, M. Hout","doi":"10.15195/v7.a22","DOIUrl":"https://doi.org/10.15195/v7.a22","url":null,"abstract":"'Microaggressions' is the term scholars and cultural commentators use to describe the ways that racism and other systems of oppression are upheld in everyday interactions. Although prior research has documented the types of microaggressions that individuals experience, we have lacked representative data on the prevalence of microaggressions in the general population. We introduce and evaluate five new survey items from the 2018 General Social Survey intended to capture five types of microaggressions. We assess the prevalence of each microaggression as well as a constructed microaggression scale across a key set of sociodemographic characteristics. We find that black Americans experience more microaggressions than other racialized groups, twice the rate of the general public for some types. Younger people report more microaggressions than older people. Women are more likely to report some types of microaggressions, and men others. Experiencing microaggressions is associated with an array of negative physical and mental health outcomes.","PeriodicalId":22029,"journal":{"name":"Sociological Science","volume":"7 1","pages":"528-543"},"PeriodicalIF":3.4,"publicationDate":"2020-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44451478","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}