Rasch Measurement Theory Analysis in R

<p><b>Rasch Measurement Theory Analysis in R</b> 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. </p><p><b>Features:</b></p><ul> <li>Accessible to users with relatively little experience with R programming</li> <li>Reproducible data analysis examples that can be modified to accommodate users’ own data</li> <li>Accompanying e-book website with links to additional resources and R code updates as needed</li> <li>Features dichotomous and polytomous (rating scale) Rasch models that can be applied to data from a wide range of disciplines</li> </ul><p> 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.</p>