Aims and Scope
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.
Recently Published Titles
- Bayesian Demographic Estimation and Forecasting
- Handbook of Item Response Theory, Volume One: Models
- Handbook of Item Response Theory, Volume Two: Statistical Tools
- Handbook of Item Response Theory, Volume Three: Applications
- Adaptive Survey Design
- Applied Survey Data Analysis, Second Edition
- Multilevel Modeling Using Mplus
- Big Data and Social Science: A Practical Guide to Methods and Tools
- Bayesian Psychometric Modeling
- Ordered Regression Models: Parallel, Partial, and Non-Parallel Alternatives
- Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling
- Bayesian Methods: A Social and Behavioral Sciences Approach, Third Edition
- Age-Period-Cohort Models: Approaches and Analyses with Aggregate Data
- Statistical Studies of Income, Poverty and Inequality in Europe: Computing and Graphics in R using EU-SILC
- Multilevel Modeling Using R
- Computerized Multistage Testing: Theory and Applications
- Analyzing Spatial Models of Choice and Judgment with R
Want to Publish With Us?
If you are interested in proposing a book for the series, please contact the series editor or one of our statistics acquisitions editors.
Departments of Political Science and Biostatistics, Washington University, St Louis, USA
Population Studies Center and Survey Research Center, University of Michigan, Ann Arbor, USA
Wim van der Linden
Pacific Metrics Corporation, Monterey, CA, USA
Department of Sociology and Interuniversity Center for Social Science Theory and Methodology, University of Groningen