Rasch Measurement Theory Analysis in R
Category: eBooks
- views: 113
- date: 7 August 2022
- posted by: BeMyLove
Rasch Measurement Theory Analysis in R | 4.06 MB
English | 323 Pages
Title: Rasch Measurement Theory Analysis in R
Author: Stefanie A. Wind
Year: 2022
Description:
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.В
Features:
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.
DOWNLOAD:
https://rapidgator.net/file/6ae7d7e2e82bd9e00b62d385774048e0/Rasch_Measurement_Theory_Analysis_in_R.rar
https://uploadgig.com/file/download/1cef6F4076a3ee7a/Rasch_Measurement_Theory_Analysis_in_R.rar
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.В
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.
DOWNLOAD:
https://rapidgator.net/file/6ae7d7e2e82bd9e00b62d385774048e0/Rasch_Measurement_Theory_Analysis_in_R.rar
https://uploadgig.com/file/download/1cef6F4076a3ee7a/Rasch_Measurement_Theory_Analysis_in_R.rar
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