Bøger i Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences serien

Practical introduction to crime mapping and spatial data analysis using R and R Studio. Crime mapping and analysis of crime problems using spatially explicit data has become a central feature of law enforcement agencies across the world. Criminology degrees have begun to adapt their curriculums to foster the skills required for these jobs.

Modern Applied Regressions creates an intricate 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 sciences.

Analysis of Integrated Data aims to provide a solid theoretical basis for this statistical analysis in three generic settings of entity ambiguity.

This book provides a detailed account of the authors' novel statistical methodology for structural equation modeling. It presents the theoretical underpinnings of generalized structured component analysis and demonstrates how it can be applied to various empirical examples. Most chapters compare this novel approach to partial least squares path

This book provides comprehensive coverage of the three major classes of ordered regression models (cumulative, stage, and adjacent) as well as variations based on the application of the parallel regression assumption. It explores the advantages of ordered regression models over linear and binary regression models for the analysis of ordinal outc

This book presents a unified Bayesian approach across traditionally separate families of psychometric models. It shows that Bayesian techniques, as alternatives to conventional approaches, offer distinct and profound advantages in achieving many goals of psychometrics. The book covers foundational principles and statistical models as well as pop

This book provides an overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more examples the analysis of survey data.

Adaptive survey designs (ASDs) provide a framework for data-driven tailoring of data collection procedures to different sample members. What are current best practices in ASD? Is ASD worthwhile when the same auxiliary data are employed in the estimation afterwards? In this book, the authors provide answers to these questions, and much more.

This book is designed as a general text on the theoretical underpinnings of standard setting in the context of educational testing. Because it includes practical examples, it is a resource for professionals in educational testing or policy, or as a textbook for graduate and undergraduate courses.

For social scientists, it is often confusing how to determine when missing data is a problem in analyses and how to handle it. This book presents a comprehensive overview of the available methods, focusing on which method should be used for specific problems. It features numerous real and simulated data examples to illustrate how the methods can be applied once the appropriate technique has been determined. It also includes exercises, computer-based problems, and suggestions for further reading. R code and the data sets are available on the book¿s website.

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 teaching and research.

This book presents an introduction to the problems and strategies for modeling age, period, and cohort (APC) effects for aggregate-level data. These strategies include constrained estimation, the use of age and/or period and/or cohort characteristics, estimable functions, variance decomposition, and a new technique called the s-constraint approa

Demographic estimation and forecasting is an important practical problem. Population projections are used to guide billions of dollars of expenditure on things such as roads, housing, shopping complexes, and hospitals. Policy evaluations require detailed estimates of populations at risk, or of demographic outcomes such as mortality.

This book provides both a broad overview and a critical survey of assorted testing theories and models used in psychology, education, and other behavioral science fields. It explores the relationships and differences between several theories¿including classical test, generalizability, and item response¿and their applications. The authors present recent developments in testing, such as computerized adaptive testing, and use real data from the areas of psychology and education. The text also includes exercises at the end of each chapter with solutions in an appendix.

A comprehensive and accessible treatment of the common and the less than common measurement models for the social, behavioral, and health sciences.

A comprehensive and accessible treatment of the common and the less than common measurement models for the social, behavioral, and health sciences.

This book shows how to analyze spatial and spatial-temporal data. It focuses on key datasets and data analysis, using the open source software WinBUGS, R, and GeoDa. It examines a range of different spatial and spatial-temporal data modeling situations encountered in the social and economic sciences.

Drawing on the work of internationally acclaimed experts in the field, this third volume in a three-volume set highlights the contributions item response theory (IRT) has made to item calibration and analysis, person fit and scoring, and test design.

Drawing on the work of internationally acclaimed experts in the field, this first volume in a three-volume set presents all major item response models and covers many model developments that have occurred in the field. We describe models for different response formats or response processes.

Analysis of Integrated Data aims to provide a solid theoretical basis for this statistical analysis in three generic settings of entity ambiguity.

This book covers mixed-mode data collection methods and its consequence for the survey process from design, data collection, and estimation. It is an invaluable resource for professionals involved in survey research and analysis, graduate students of survey methodology and academics working in the area.