Rasch Measurement Theory Analysis in R

Kirjan Rasch Measurement Theory Analysis in R (2022) on kirjoittanut Stefanie Wind. Kirjan kieli on englanti, ja sen on kustantanut TAYLOR FRANCIS LTD. Kirja on laajuudeltaan 316 sivua ja se on sidottu.

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.