Rosche, B. (2024). Micro-level determinants of macro-level outcomes. The micro-macro link with empirical methods.

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Explaining how macro-level outcomes emerge from their constituting parts at the micro-level is a complex undertaking. In empirical research, however, statistical methods that feature trivial aggregation functions dominate because methods to study more complex aggregation processes remain underdeveloped. In this thesis, I contribute to the development of empirical-statistical methods for the study of micro-macro links. … Read more

Rosche, B. (2024). Socioeconomic segregation in adolescent friendship networks. A network analysis of social closure in US high schools

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Adolescent friendship networks are characterized by low interaction across both socioeconomic and racial lines. Using data from the National Study of Adolescent Health and a new exponential random graph modeling approach, this study examines the degree, pattern, and determinants of socioeconomic segregation and its relationship to racial segregation in friendship networks in high school. The … Read more

Analyzing complex data structures: network, spatial, multilevel, and text data.

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The world and data about the world are becoming increasingly complex. Examples of complex data structures include network data that represent connections among individuals (e.g., friends on social media platforms), spatial data that represents geolocations (e.g., smartphone location data), data collected at multiple levels (e.g., employees in organizations), and text data (e.g., interviews, online comments). These … Read more

Introduction to Inferential Social Network Analysis

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Most courses on social network analysis (SNA) focus on descriptive SNA, such as measuring the density of a network, identifying subgroups within a network, or examining the centrality of actors within a network. Inferential SNA, which focuses on explaining the formation of networks and behaviors and beliefs of actors embedded in networks, by contrast, is … Read more

Introduction to Multilevel Modeling

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Many kinds of data have a multilevel, hierarchical, nested, or clustered structure. Animal and human studies of inheritance, for instance, deal with a natural multilevel structure where offspring are grouped within families. Offspring from the same parents tend to be more alike than individuals at large. Clinical trials and other data collections also create data … Read more

Rosche, Bons, Hox, de Leeuw (2024). The Survey Attitude Scale as an Indicator of Survey Attitude and a Predictor of Nonresponse and Panel Dropout.

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Despite extensive research and efforts to boost survey response rates, nonresponse studies continue to show a declining trend in response. Survey climate and respondents’ attitudes towards surveys are often cited as key theoretical concepts for understanding nonresponse. To provide empirical data on survey attitude and its impact on nonresponse rates, de Leeuw et al. (2019; … Read more

Rosche, B. (2024). A multilevel model for coalition governments: Uncovering party-level dependencies within and between governments.

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Coalition research increasingly emphasizes party-level explanations of coalition outcomes. However, this work does not account for the complex multilevel structure between parties and governments: many parties participate in multiple governments and governments often comprise multiple parties. In this paper, I demonstrate that this crisscrossing structure creates dependencies among observations both across and within governments. If … Read more

Rosche, B. (2024). Treatment effects on within-group and between-group inequality. A causal decomposition approach.

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Rising inequality has been linked to growing disparities within and between economic strata. Yet, existing approaches to analyzing inequality often disregard within-group inequality and are limited in addressing causal questions about why inequality is changing. This paper introduces a causal approach to examining how treatment variables impact within-group, between-group, and total inequality. The method permits … Read more

Rosche, B. (2017) Socio-economic status and the self-evaluation of school performance

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Since for high-schoolers many consequential life choices lie still ahead, it is crucial that their choices suit their abilities. Among other things, students’ misperception of their academic ability can lead to educational misinvestment with potentially severe consequences. While previous research has documented gender differences in the self-perception of academic performance, disparities by socioeconomic status (SES) … Read more

An, W., Beauvile, R., Rosche, B. (2022). Causal Network Analysis. Annual Review of Sociology, 48.

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Fueled by recent advances in statistical modeling and the rapid growth of network data, social network analysis has become increasingly popular in sociology and related disciplines. However, a significant amount of work in the field has been descriptive and correlational, which prevents the findings from being more rigorously translated into practices and policies. This article … Read more