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.
Multilevel Modeling Using R
Analysis of Integrated Data
Bayesian Demographic Estimation and Forecasting
Adaptive Survey Design
Applied Survey Data Analysis
Duanli Yan, André A. Rupp, Peter W. Foltz
February 20, 2020
"Automated scoring engines…require a careful balancing of the contributions of technology, NLP, psychometrics, artificial intelligence, and the learning sciences. This volume is evidence that the theories, methodologies, and underlying technology that surround automated scoring have reached...
Klaas Sijtsma, L.Andries van der Ark
February 07, 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...
Robert P. Haining, Guangquan Li
November 07, 2019
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...
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...
W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley
May 20, 2019
Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how...
Li-Chun Zhang, Raymond L. Chambers
May 08, 2019
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...
Kimmo Vehkalahti, Brian S. Everitt
January 08, 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...
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...
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...
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...
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...
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...