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Fashioned after the 2006 Winemiller Symposium on Recent Advances in Social Science Statistics, and bringing together top researchers from around the world, this book provides overviews of the most important advanced techniques in the social sciences, including latent variable models, multilevel models, social networks, missing data techniques, educational measurement, cluster analysis, and treatment effects.
The aim of the book is to foster collaboration among mathematical statisticians and quantitatively oriented social science researchers and to highlight the interface between developments in each area.
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