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.
Interviewer Effects from a Total Survey Error Perspective
1st Edition
Edited
By Kristen Olson, Jolene D. Smyth, Jennifer Dykema, Allyson L. Holbrook, Frauke Kreuter, Brady T. West
December 13, 2021
Interviewer Effects from a Total Survey Error Perspective presents a comprehensive collection of state-of-the-art research on interviewer-administered survey data collection. Interviewers play an essential role in the collection of the high-quality survey data used to learn about our society and ...
Handbook of Automated Scoring: Theory into Practice
1st Edition
Edited
By Duanli Yan, André A. Rupp, Peter W. Foltz
September 30, 2021
"Automated scoring engines […] require a careful balancing of the contributions of technology, NLP, psychometrics, artificial intelligence, and the learning sciences. The present handbook is evidence that the theories, methodologies, and underlying technology that surround automated scoring have ...
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach
1st Edition
By Robert P. Haining, Guangquan Li
September 30, 2021
Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear ...
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...
Analysis of Integrated Data
1st Edition
Edited
By Li-Chun Zhang, Raymond L. Chambers
June 30, 2021
The advent of "Big Data" has brought with it a rapid diversification of data sources, requiring analysis that accounts for the fact that these data have often been generated and recorded for different reasons. Data integration involves combining data residing in different sources to enable ...
Handbook of Item Response Theory: Three Volume Set
1st Edition
Edited
By Wim J. van der Linden
March 31, 2021
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 ...
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 ...
Adaptive Survey Design
1st Edition
By Barry Schouten, Andy Peytchev, James Wagner
December 18, 2020
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 ...
Bayesian Psychometric Modeling
1st Edition
By Roy Levy, Robert J. Mislevy
December 18, 2020
A Single Cohesive Framework of Tools and Procedures for Psychometrics and AssessmentBayesian Psychometric Modeling presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer...
Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling
1st Edition
By Heungsun Hwang, Yoshio Takane
December 18, 2020
Winner of the 2015 Sugiyama Meiko Award (Publication Award) of the Behaviormetric Society of JapanDeveloped by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least ...
Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives
1st Edition
By Andrew Fullerton, Jun Xu
December 18, 2020
Estimate and Interpret Results from Ordered Regression ModelsOrdered 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 ...
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 ...