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


About the 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.

31 Series Titles

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Multilevel Modeling Using R

Multilevel Modeling Using R

2nd Edition

Forthcoming

W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley
June 15, 2019

Multivariate Analysis for the Behavioral Sciences, Second Edition

Multivariate Analysis for the Behavioral Sciences, Second Edition

2nd Edition

Forthcoming

Kimmo Vehkalahti, Brian S. Everitt
January 03, 2019

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly...

Bayesian Demographic Estimation and Forecasting

Bayesian Demographic Estimation and Forecasting

1st Edition

John Bryant, Junni L. Zhang
July 03, 2018

Bayesian Demographic Estimation and Forecasting presents three statistical frameworks for modern demographic estimation and forecasting. The frameworks draw on recent advances in statistical methodology to provide new tools for tackling challenges such as disaggregation, measurement error, missing...

Handbook of Item Response Theory, Three Volume Set

Handbook of Item Response Theory, Three Volume Set

1st Edition

Wim J. van der Linden
January 25, 2018

Drawing on the work of 75 internationally acclaimed experts in the field, Handbook of Item Response Theory, Three-Volume Set presents all major item response models, classical and modern statistical tools used in item response theory (IRT), and major areas of applications of IRT in educational and...

Handbook of Item Response Theory, Volume Three: Applications

Handbook of Item Response Theory, Volume Three: Applications

1st Edition

Wim J. van der Linden
January 16, 2018

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume 3: Applications presents applications of item response theory to practical testing problems. While item response theory may be known primarily for its advances in theoretical modeling of...

Adaptive Survey Design

Adaptive Survey Design

1st Edition

Barry Schouten, Andy Peytchev, James Wagner
August 04, 2017

Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data collection procedures to different sample members, often for cost and bias reduction. People vary in how likely they are to respond and in how they respond. This variation leads to opportunities to selectively...

Applied Survey Data Analysis

Applied Survey Data Analysis

2nd Edition

Steven G. Heeringa, Brady T. West, Patricia A. Berglund
June 27, 2017

Highly recommended by the Journal of Official Statistics, The American Statistician, and other journals, Applied Survey Data Analysis, Second Edition provides an up-to-date overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on...

Multilevel Modeling Using Mplus

Multilevel Modeling Using Mplus

1st Edition

Holmes Finch, Jocelyn 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...

Handbook of Item Response Theory, Volume One: Models

Handbook of Item Response Theory, Volume One: Models

1st Edition

Wim J. van der Linden
August 15, 2016

Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume One: Models presents all major item response models. This first volume in a three-volume set covers many model developments that have occurred in item response theory (IRT) during the...

Big Data and Social Science: A Practical Guide to Methods and Tools

Big Data and Social Science: A Practical Guide to Methods and Tools

1st Edition

Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane
August 09, 2016

Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on...

Bayesian Psychometric Modeling

Bayesian Psychometric Modeling

1st Edition

Roy Levy, Robert J. Mislevy
May 23, 2016

A Single Cohesive Framework of Tools and Procedures for Psychometrics and Assessment Bayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches,...

Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives

Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives

1st Edition

Andrew S. Fullerton, Jun Xu
April 05, 2016

Estimate and Interpret Results from Ordered Regression Models Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives presents regression models for ordinal outcomes, which are variables that have ordered categories but unknown spacing between the categories. The book provides...

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