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Rasch Measurement Theory Analysis in R Empty Rasch Measurement Theory Analysis in R

Dom 7 Ago 2022 - 9:25

Rasch Measurement Theory Analysis in R E5da003349d0f29cd03f215b7efdd56b
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pdf | 4.06 MB | English | Isbn:‎ 0367776391 | Author: Stefanie A. Wind | Year: 2022

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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. 

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.

Category:Probability & Statistics, Probability & Statistics




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