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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 19 results in Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
  1. Statistical Studies of Income, Poverty and Inequality in Europe

    Computing and Graphics in R using EU-SILC

    By Nicholas T. Longford

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

    There is no shortage of incentives to study and reduce poverty in our societies. Poverty is studied in economics and political sciences, and population surveys are an important source of information about it. The design and analysis of such surveys is principally a statistical subject matter and...

    Published July 7th 2014 by Chapman and Hall/CRC

  2. Multilevel Modeling Using R

    By W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley

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

    A powerful tool for analyzing nested designs in a variety of fields, multilevel/hierarchical modeling allows researchers to account for data collected at multiple levels. Multilevel Modeling Using R provides you with a helpful guide to conducting multilevel data modeling using the R software...

    Published June 13th 2014 by CRC Press

  3. Computerized Multistage Testing

    Theory and Applications

    Edited by Duanli Yan, Alina A. von Davier, Charles Lewis

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

    Devising tests that evaluate a nation’s educational standing and implement efficacious educational reforms requires a careful balance among the contributions of technology, psychometrics, test design, and the learning sciences. Unlike other forms of adaptive testing, multistage testing (MST) is...

    Published May 7th 2014 by Chapman and Hall/CRC

  4. 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 7th 2014 by Chapman and Hall/CRC

  5. 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 12th 2013 by Chapman and Hall/CRC

  6. 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

    Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral, social, health, and medical sciences. It incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous...

    Published September 5th 2013 by Chapman and Hall/CRC

  7. 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 17th 2013 by Chapman and Hall/CRC

  8. 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 29th 2012 by Chapman and Hall/CRC

  9. 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 26th 2011 by Chapman and Hall/CRC

  10. 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 5th 2010 by Chapman and Hall/CRC