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Multivariate analysis is an important tool in the social sciences, but it can be technical for those with a limited statistical background. Requiring minimal statistical knowledge, Analysis of Multivariate Social Science Data provides an accessible introduction to multivariate data analysis for the social sciences. This second edition features additional material on confirmatory factor analysis, structural equation modeling, and multilevel modeling. In addition to a wide range of worked examples, an abundance of end-of-chapter exercises, and a comprehensive appendix of solutions, the text…mehr

Produktbeschreibung
Multivariate analysis is an important tool in the social sciences, but it can be technical for those with a limited statistical background. Requiring minimal statistical knowledge, Analysis of Multivariate Social Science Data provides an accessible introduction to multivariate data analysis for the social sciences. This second edition features additional material on confirmatory factor analysis, structural equation modeling, and multilevel modeling. In addition to a wide range of worked examples, an abundance of end-of-chapter exercises, and a comprehensive appendix of solutions, the text includes an enhanced software section with data sets as well as code available on the web.
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Autorenporträt
David J. Bartholomew, Fiona Steele, Fiona Steele, Irini Moustaki