Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
About the Book 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.
Intensive Longitudinal Analysis of Human Processes
1st Edition
By Kathleen M. Gates, Sy-Miin Chow, Peter C. M. Molenaar
January 31, 2023
This book focuses on a span of statistical topics relevant to researchers who seek to conduct person-specific analysis of human data. Our purpose is to provide one consolidated resource that includes techniques from disciplines such as engineering, physics, statistics, and quantitative psychology ...
The Psychometrics of Standard Setting: Connecting Policy and Test Scores
1st Edition
By Mark D. Reckase
December 23, 2022
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 ...
Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan
1st Edition
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 ...
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
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
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 ...
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...
Introduction to R for Social Scientists: A Tidy Programming Approach
1st Edition
By Ryan Kennedy, Philip D. Waggoner
March 09, 2021
Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked ...
Big Data and Social Science: Data Science Methods and Tools for Research and Practice
2nd Edition
Edited
By Ian Foster, Rayid Ghani, Ron S. Jarmin, Frauke Kreuter, Julia Lane
November 18, 2020
Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer ...
Measurement Models for Psychological Attributes
1st Edition
By Klaas Sijtsma, L. Andries van der Ark
October 23, 2020
Despite the overwhelming use of tests and questionnaires, the psychometric models for constructing these instruments are often poorly understood, leading to suboptimal measurement. Measurement Models for Psychological Attributes is a comprehensive and accessible treatment of the common and the less...
Statistical Test Theory for the Behavioral Sciences
1st Edition
By Dato N. M. de Gruijter, Leo J. Th. van der Kamp
September 05, 2019
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...
Applied Survey Data Analysis
2nd Edition
By Steven G. Heeringa, Brady T. West, Steve G. Heeringa, Patricia A. Berglund, 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 ...