Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

New and Published Books

1-9 of 9 results in Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

1. Informative Hypotheses

   Theory and Practice for Behavioral and Social Scientists

   By Herbert Hoijtink

   Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

   When scientists formulate their theories, expectations, and hypotheses, they often use statements like: ``I expect mean A to be bigger than means B and C"; ``I expect that the relation between Y and both X1 and X2 is positive"; and ``I expect the relation between Y and X1 to be stronger than the...

   Published October 25th 2011 by Chapman and Hall/CRC
2. Applied Survey Data Analysis

   By Steven G. Heeringa, Brady T. West, Patricia A. Berglund

   Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

   Taking a practical approach that draws on the authors’ extensive teaching, consulting, and research experiences, Applied Survey Data Analysis provides an intermediate-level statistical overview of the analysis of complex sample survey data. It emphasizes methods and worked examples using available...

   Published April 4th 2010 by Chapman and Hall/CRC
3. Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences

   By Brian S. Everitt

   Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

   Multivariable Modeling and Multivariate Analysis for the Behavioral Sciences shows students how to apply statistical methods to behavioral science data in a sensible manner. Assuming some familiarity with introductory statistics, the book analyzes a host of real-world data to provide useful answers...

   Published September 27th 2009 by CRC Press
4. Foundations of Factor Analysis, Second Edition

   By Stanley A Mulaik

   Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

   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...

   Published September 24th 2009 by Chapman and Hall/CRC
5. Linear Causal Modeling with Structural Equations

   By Stanley A. Mulaik

   Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

   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...

   Published June 15th 2009 by Chapman and Hall/CRC
6. Analysis of Multivariate Social Science Data, Second Edition

   By David J. Bartholomew, Fiona Steele, Jane Galbraith, Irini Moustaki

   Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

   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...

   Published June 3rd 2008 by Chapman and Hall/CRC
7. Bayesian Methods

   A Social and Behavioral Sciences Approach, Second Edition

   By Jeff Gill

   Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

   The first edition of Bayesian Methods: A Social and Behavioral Sciences Approach helped pave the way for Bayesian approaches to become more prominent in social science methodology. While the focus remains on practical modeling and basic theory as well as on intuitive explanations and derivations...

   Published November 25th 2007 by Chapman and Hall/CRC
8. Statistical Test Theory for the Behavioral Sciences

   By Dato N. M. de Gruijter, Leo J. Th. van der Kamp

   Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

   Since the development of the first intelligence test in the early 20th century, educational and psychological tests have become important measurement techniques to quantify human behavior. Focusing on this ubiquitous yet fruitful area of research, Statistical Test Theory for the Behavioral Sciences...

   Published August 30th 2007 by Chapman and Hall/CRC
9. Multiple Correspondence Analysis and Related Methods

   Edited by Michael Greenacre, Jorg Blasius

   Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

   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...

   Published June 22nd 2006 by Chapman and Hall/CRC