Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata

Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata is a book that provides specialized statistical methods for analyzing data collected through questionnaires. It adopts an applied approach, aligning with the increasing use of statistical methods and software in education, psychology, sociology, and other fields. The book covers classical test theory, test reliability, validity, scaling, item response theory, and its extensions, including IRT models with covariates, multidimensional IRT models, and latent class IRT models. It includes Stata and R software codes for each method and uses real datasets to illustrate the software outputs. The book is suitable for graduate students in applied statistics and psychometrics and practitioners in education, health, and marketing.

Format: Paperback / softback
Length: 328 pages
Publication date: 21 January 2023
Publisher: Taylor & Francis Ltd

Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata is a comprehensive guide that offers specialized statistical techniques for analyzing data obtained through questionnaires. This book adopts an applied approach, aligning with the increasing prevalence of statistical methods and software in education, psychology, sociology, and various other fields. It caters to graduate students specializing in applied statistics and psychometrics, as well as practitioners in education, health, and marketing.

The book delves into the foundations of classical test theory (CTT), encompassing test reliability, validity, and scaling, as well as item response theory (IRT) fundamentals and IRT for dichotomous and polytomous items. The authors explore the latest IRT extensions, including IRT models with covariates, multidimensional IRT models, IRT models for hierarchical and longitudinal data, and latent class IRT models. They also provide detailed descriptions of estimation methods and diagnostics, encompassing graphical diagnostic tools, parametric and nonparametric tests, and differential item functioning.

To enhance comprehension, the book incorporates real datasets into its examples and meticulously illustrates the software outputs. Additionally, the datasets are readily accessible on the authors' web page.

By utilizing this comprehensive resource, readers will gain a deep understanding of statistical analysis of questionnaires, enabling them to effectively extract valuable insights from survey data in diverse fields.

Weight: 610g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032477282