TY  - BOOK
AU  - Debelak,Rudolf
AU  - Strobl,Carolin
AU  - Zeigenfuse,Matthew D.
TI  - An introduction to the Rasch model with examples in R
T2  - Chapman & Hall/CRC statistics in the social & behavioral sciences
SN  - 9781032265582
AV  - BF39.2.I84 D43 2022
U1  - 150.28/7 23 Ed.
PY  - 2022///
CY  - Boca Raton
PB  - CRC Press
KW  - Rasch models
KW  - Psychology
KW  - Statistical methods
KW  - Educational tests and measurements
KW  - R (Computer program language)
KW  - Psychometrics
KW  - Data processing
N1  - Includes bibliographical references and index; The Rasch model -- Parameter estimation -- Test evaluation -- Basic R usage -- R package eRm -- R package mirt -- R package TAM -- R interface to Stan -- Extensions to the Rasch model -- Models for polytomous responses -- Outlook on special applications
N2  - "This book offers a clear, comprehensive introduction to the Rasch model along with practical examples in the free, open-source software R. It is accessible for readers without a background in psychometrics or statistics, while also providing detailed explanations of the relevant mathematical and statistical concepts for readers who want to gain a deeper understanding. Its worked examples in R demonstrate how to apply the methods to real-world examples and how to interpret the resulting output. In addition to motivating and presenting the Rasch model, the book covers different methods for parameter estimation and for assessing fit and differential item functioning (DIF). While focusing on the Rasch model, it also addresses a variety of other dichotomous and polytomous Rasch and item response theory (IRT) models, such as two-parameter logistic (2PL) and Partial Credit models, and extensions, including mixture Rasch models and computerized adaptive testing (CAT). Theory is presented in a self-contained way. All necessary mathematical and statistical background is contained in the chapters and appendices. The book also provides detailed, step-by-step instructions for getting started with R and using the eRm, mirt, TAM and rstan packages for fitting Rasch models"--
ER  -