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"The most user-friendly and authoritative resource on missing data has been completely revised to make room for the latest developments that make handling missing data more effective. The second edition includes new methods based on factored regressions, newer model-based imputation strategies, and innovations in Bayesian analysis. State-of-the-art technical literature on missing data is translated into accessible guidelines for applied researchers and graduate students. The second edition takes an even, three-pronged approach to maximum likelihood estimation (MLE), Bayesian estimation as an alternative to MLE, and multiple imputation. Consistently organized chapters explain the rationale and procedural details for each technique and illustrate the analyses with engaging worked-through examples on such topics as young adult smoking, employee turnover, and chronic pain. The companion website includes datasets and analysis examples from the book, up-to-date software information, and other resources. Subject areas/Key words: advanced quantitative methods, management, survey, longitudinal, structural equation modeling, handling, how to handle, incomplete, multivariate, social research, behavioral sciences, statistical techniques, textbooks, seminars, doctoral courses, multiple imputation, models, MCAR, MNAR, Bayesian Audience: Researchers and graduate students in psychology, education, management, family studies, public health, sociology, and political science."--

This study examines whether social‐emotional difficulties associated with higher body weight vary across schools as a function of the school's weight climate. Weight climate, characterized by weight‐policing, was assessed indirectly by examining how strongly self‐reported weight predicts victim reputation within 26 ethnically diverse middle schools. Social‐emotional indicators included self‐reported loneliness, school belonging, and self‐esteem. In schools with stronger weight‐policing at seventh grade, loneliness was intensified by eighth grade among both girls (n = 2,101) and boys (n = 1,985) with higher weight. Similar effects were found for low self‐esteem among girls. Additionally, boys—regardless of their weight—reported lower sense of belonging in schools with stronger weight‐policing. The study offers a new method to estimate school weight climate, and the findings provide insights for interventions.