Rasch Measurement Theory Analysis in R is popular PDF and ePub book, written by Stefanie Wind in 2022-06-07, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Rasch Measurement Theory Analysis in R can be Read Online from any device for your convenience.
Rasch Measurement Theory Analysis in R Book PDF Summary
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 programming Reproducible data analysis examples that can be modified to accommodate users’ own data Accompanying e-book website with links to additional resources and R code updates as needed Features 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.
Detail Book of Rasch Measurement Theory Analysis in R PDF
- Author : Stefanie Wind
- Release : 07 June 2022
- Publisher : CRC Press
- ISBN : 9781000587760
- Genre : Mathematics
- Total Page : 327 pages
- Language : English
- PDF File Size : 17,9 Mb
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