andrew_gelman_stats andrew_gelman_stats-2011 andrew_gelman_stats-2011-557 knowledge-graph by maker-knowledge-mining
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Introduction: Rob Calver writes: Large and complex datasets are becoming prevalent in the social and behavioral sciences and statistical methods are crucial for the analysis and interpretation of such data. The Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences Series aims to capture new developments in statistical methodology with particular relevance to applications in the social and behavioral sciences. It seeks to promote appropriate use of statistical, econometric and psychometric methods in these applied sciences by publishing a broad range of monographs, textbooks and handbooks. The scope of the series is wide, including applications of statistical methodology in sociology, psychology, economics, education, marketing research, political science, criminology, public policy, demography, survey methodology and official statistics. The titles included in the series are designed to appeal to applied statisticians, as well as students, researchers and practitioners from the
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1 Rob Calver writes: Large and complex datasets are becoming prevalent in the social and behavioral sciences and statistical methods are crucial for the analysis and interpretation of such data. [sent-1, score-1.283]
2 The Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences Series aims to capture new developments in statistical methodology with particular relevance to applications in the social and behavioral sciences. [sent-2, score-1.472]
3 It seeks to promote appropriate use of statistical, econometric and psychometric methods in these applied sciences by publishing a broad range of monographs, textbooks and handbooks. [sent-3, score-1.045]
4 The scope of the series is wide, including applications of statistical methodology in sociology, psychology, economics, education, marketing research, political science, criminology, public policy, demography, survey methodology and official statistics. [sent-4, score-1.27]
5 The titles included in the series are designed to appeal to applied statisticians, as well as students, researchers and practitioners from the above disciplines. [sent-5, score-0.653]
6 The inclusion of real examples and case studies is therefore essential. [sent-6, score-0.182]
7 We [Chapman & Hall] are interested in proposals for books covering all aspects of the application of statistics to problems in the social and behavioral sciences. [sent-7, score-0.854]
8 If you have an idea for a book, please contact Rob Calver (rob. [sent-8, score-0.192]
9 Please provide brief details of topic, audience, aims and scope, and include an outline if possible. [sent-11, score-0.398]
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Introduction: Devah Pager points me to this article by Uri Simonsohn, which begins: Three articles published [by Brett Pelham et al.] have shown that a disproportionate share of people choose spouses, places to live, and occupations with names similar to their own. These findings, interpreted as evidence of implicit egotism, are included in most modern social psychology textbooks and many university courses. The current article successfully replicates the original findings but shows that they are most likely caused by a combination of cohort, geographic, and ethnic confounds as well as reverse causality. From Simonsohn’s article, here’s a handy summary of the claims and the evidence (click on it to enlarge): The Pelham et al. articles have come up several times on the blog, starting with this discussion and this estimate and then more recently here . I’m curious what Pelham and his collaborators think of Simonsohn’s claims.
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