Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
About the Book Series
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. This 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 reference works, 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 above disciplines. The inclusion of real examples and case studies is therefore essential.
Please contact us if you have an idea for a book for the series.
Multilevel Modeling Using Mplus
1st Edition
By W. Holmes Finch, Jocelyn E. Bolin
December 22, 2016
This book is designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel modelling ...
Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition
3rd Edition
By Jeff Gill
December 11, 2014
An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third...
Foundations of Factor Analysis
2nd Edition
By Stanley A Mulaik
September 25, 2009
Providing a practical, thorough understanding of how factor analysis works, Foundations of Factor Analysis, Second Edition discusses the assumptions underlying the equations and procedures of this method. It also explains the options in commercial computer programs for performing factor analysis ...
Linear Causal Modeling with Structural Equations
1st Edition
By Stanley A. Mulaik
June 16, 2009
Emphasizing causation as a functional relationship between variables that describe objects, Linear Causal Modeling with Structural Equations integrates a general philosophical theory of causation with structural equation modeling (SEM) that concerns the special case of linear causal relations. In ...
Analysis of Multivariate Social Science Data
2nd Edition
By David J. Bartholomew, Fiona Steele, Jane Galbraith, Irini Moustaki
June 04, 2008
Drawing on the authors’ varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to ...
Multiple Correspondence Analysis and Related Methods
1st Edition
Edited
By Michael Greenacre, Jorg Blasius
June 23, 2006
As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical ...