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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.

Please contact us if you have an idea for a book for the series.

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A Generalized Framework for Item Response Models An Explanatory Approach

A Generalized Framework for Item Response Models: An Explanatory Approach

1st Edition

Forthcoming

Edited By Paulus de Boeck, Mark Wilson
January 15, 2023

This advanced textbook goes beyond the current limits of item response modeling to enhance understanding and help readers be more creative in the development and usage of the models. The book first provides a basic survey of the approach and then lays out a large space of important models and their...

The Psychometrics of Standard Setting Connecting Policy and Test Scores

The Psychometrics of Standard Setting: Connecting Policy and Test Scores

1st Edition

Forthcoming

By Mark Reckase
January 09, 2023

This book provides a unifying structure for the activities that fall under the process typically called "standard setting" on tests of proficiency. Standard setting refers to the methodology used to identify performance standards on tests of proficiency. The results from standard setting studies ...

Measuring Growth in Educational Settings

Measuring Growth in Educational Settings

1st Edition

Forthcoming

By Derek Briggs
December 25, 2022

This book is about the process of measuring and evaluating student growth in educational settings. Using large-scale assessments to measure student growth has increasingly become a major point of emphasis in systems of educational accountability. The complete process of designing, calibrating, ...

Modern Applied Regressions Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan

Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan

1st Edition

Forthcoming

By Jun Xu
December 08, 2022

Modern Applied Regressions creates an intricate and colorful mural with mosaics of categorical and limited response variable (CLRV) models using both Bayesian and Frequentist approaches. Written for graduate students, junior researchers, and quantitative analysts in behavioral, health, and social ...

Intensive Longitudinal Analysis of Human Processes

Intensive Longitudinal Analysis of Human Processes

1st Edition

Forthcoming

By Kathleen M. Gates, Sy-Miin Chow, Peter C. M. Molenaar
December 07, 2022

This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data. The primary audience are students and researchers in psychometrics, quantitative psychology, psychophysiology and neurocognition. This book can be used for both ...

Analyzing Spatial Models of Choice and Judgment

Analyzing Spatial Models of Choice and Judgment

2nd Edition

By David A. Armstrong, Ryan Bakker, Royce Carroll, Christopher Hare, Keith T. Poole, Howard Rosenthal
August 01, 2022

With recent advances in computing power and the widespread availability of preference, perception and choice data, such as public opinion surveys and legislative voting, the empirical estimation of spatial models using scaling and ideal point estimation methods has never been more accessible.The ...

Regression Analysis in R A Comprehensive View for the Social Sciences

Regression Analysis in R: A Comprehensive View for the Social Sciences

1st Edition

By Jocelyn E. Bolin
July 27, 2022

Regression Analysis in R: A Comprehensive View for the Social Sciences covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers ...

An Introduction to the Rasch Model with Examples in R

An Introduction to the Rasch Model with Examples in R

1st Edition

By Rudolf Debelak, Carolin Strobl, Matthew D. Zeigenfuse
June 07, 2022

An Introduction to the Rasch Model with Examples in R offers a clear, comprehensive introduction to the Rasch model along with practical examples in the free, open-source software R. It is accessible for readers without a background in psychometrics or statistics, while also providing detailed ...

Applied Regularization Methods for the Social Sciences

Applied Regularization Methods for the Social Sciences

1st Edition

By Holmes Finch
March 21, 2022

Researchers in the social sciences are faced with complex data sets in which they have relatively small samples and many variables (high dimensional data). Unlike the various technical guides currently on the market, Applied Regularization Methods for the Social Sciences provides and overview of a ...

Mixed-Mode Official Surveys Design and Analysis

Mixed-Mode Official Surveys: Design and Analysis

1st Edition

By Barry Schouten, Jan van den Brakel, Bart Buelens, Deirdre Giesen, Annemieke Luiten, Vivian Meertens
September 28, 2021

Mixed-mode surveys have become a standard at many statistical institutes. However, the introduction of multiple modes in one design goes with challenges to both methodology and logistics. Mode-specific representation and measurement differences become explicit and demand for solutions in data ...

Linear Regression Models Applications in R

Linear Regression Models: Applications in R

1st Edition

By John P. Hoffmann
September 13, 2021

Research in social and behavioral sciences has benefited from linear regression models (LRMs) for decades to identify and understand the associations among a set of explanatory variables and an outcome variable. Linear Regression Models: Applications in R provides you with a comprehensive treatment...

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