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Rasch Measurement Theory Analysis in R

Af: Cheng Hua, Stefanie A. Wind, Stefanie Wind Engelsk Paperback
SPAR
kr 95

Rasch Measurement Theory Analysis in R

Af: Cheng Hua, Stefanie A. Wind, Stefanie Wind Engelsk Paperback

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.

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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.

Produktdetaljer
Sprog: Engelsk
Sider: 316
ISBN-13: 9780367776398
Indbinding: Paperback
Udgave:
ISBN-10: 0367776391
Udg. Dato: 3 jun 2022
Længde: 23mm
Bredde: 156mm
Højde: 234mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 3 jun 2022
Forfatter(e) Cheng Hua, Stefanie A. Wind, Stefanie Wind


Kategori Psykologiske tests og måling


Sprog Engelsk


Indbinding Paperback


Sider 316


Udgave


Længde 23mm


Bredde 156mm


Højde 234mm


Udg. Dato 3 jun 2022


Oplagsdato 3 jun 2022

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