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

Series Editor: Jeff Gill, Steven G. Heeringa, J. Scott Long, Thomas A.B. Snijders, Wim J Van Der Linden

New and Published Books

1-10 of 16 results in Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
  1. Analyzing Spatial Models of Choice and Judgment with R

    By David A. Armstrong, II, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, Howard Rosenthal

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

    Modern Methods for Evaluating Your Social Science Data With recent advances in computing power and the widespread availability of political choice data, such as legislative roll call and public opinion survey data, the empirical estimation of spatial models has never been easier or more popular....

    Published February 6th 2014 by Chapman and Hall/CRC

  2. Handbook of International Large-Scale Assessment

    Background, Technical Issues, and Methods of Data Analysis

    Edited by Leslie Rutkowski, Matthias von Davier, David Rutkowski

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

    Technological and statistical advances, along with a strong interest in gathering more information about the state of our educational systems, have made it possible to assess more students, in more countries, more often, and in more subject domains. The Handbook of International Large-Scale...

    Published November 11th 2013 by Chapman and Hall/CRC

  3. Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

    By Michael Smithson, Edgar C. Merkle

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

    Designed for graduate students and researchers in the behavioral, social, health, and medical sciences, this text employs generalized linear models, including mixed models, for categorical and limited dependent variables. Categorical variables include both nominal and ordinal variables. Discrete or...

    Published September 4th 2013 by Chapman and Hall/CRC

  4. Incomplete Categorical Data Design

    Non-Randomized Response Techniques for Sensitive Questions in Surveys

    By Guo-Liang Tian, Man-Lai Tang

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

    Respondents to survey questions involving sensitive information, such as sexual behavior, illegal drug usage, tax evasion, and income, may refuse to answer the questions or provide untruthful answers to protect their privacy. This creates a challenge in drawing valid inferences from potentially...

    Published August 16th 2013 by Chapman and Hall/CRC

  5. Latent Markov Models for Longitudinal Data

    By Francesco Bartolucci, Alessio Farcomeni, Fulvia Pennoni

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

    Drawing on the authors’ extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data focuses on the formulation of latent Markov models and the practical use of these models. Numerous examples illustrate how latent Markov models are used in...

    Published October 28th 2012 by Chapman and Hall/CRC

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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