Rasch Measurement Theory Analysis in R (eBook)

Cheng Hua, Stefanie Wind (Autoren)

eBook Download: PDF

2022
322 Seiten
CRC Press (Verlag)
978-1-000-58771-5 (ISBN)

Infos

Rasch Measurement Theory Analysis in R provides researchers and practitioners with a step-by-step guide for conducting Rasch measurement theory analyses using R. It includes theoretical introductions to major Rasch measurement principles and techniques, demonstrations of analyses using several R packages that contain Rasch measurement functions, and sample interpretations of results. Features:Accessible to users with relatively little experience with R programmingReproducible data analysis examples that can be modified to accommodate users' own dataAccompanying e-book website with links to additional resources and R code updates as neededFeatures dichotomous and polytomous (rating scale) Rasch models that can be applied to data from a wide range of disciplines This book is designed for graduate students, researchers, and practitioners across the social, health, and behavioral sciences who have a basic familiarity with Rasch measurement theory and with R. Readers will learn how to use existing R packages to conduct a variety of analyses related to Rasch measurement theory, including evaluating data for adherence to measurement requirements, applying the dichotomous, Rating Scale, Partial Credit, and Many-Facet Rasch models, examining data for evidence of differential item functioning, and considering potential interpretations of results from such analyses.

Produkt-Details

• Erscheint lt. Verlag: 7.6.2022
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Psychologie ► Test in der Psychologie
• Themenwelt: Mathematik / Informatik ► Mathematik
• ISBN-10: 1-000-58771-1 / 1000587711
• ISBN-13: 978-1-000-58771-5 / 9781000587715