Rasch measurement theory analysis in R

Author(s)

• Wind, Stefanie A. (Anne)
• Hua, Cheng

Bibliographic Information

Rasch measurement theory analysis in R

Stefanie Wind and Cheng Hua

（The R series）

CRC Press, 2022

First edition

• : pbk

Note

Includes bibliographical references (p. 303-307) and index

Description and Table of Contents

Description

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

Table of Contents

1 Introduction 2 Dichotomous Rasch Model 3 Evaluating the Quality of Measures 4 Rating Scale Model 5 Partial Credit Model 6 Many Facet Rasch Model 7 Basics of Differential Item Functioning

by "Nielsen BookData"

• NCID: BC1329767X
• ISBN:
  • 9780367776398
• LCCN: 2021058803
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Boca Raton
• Pages/Volumes: vi, 316 p.
• Size: 24 cm
• Classification:
  • LCC : BF39
  • DC23 : 150.1/5195
  • DC23 : 150.15195
• Subject Headings:
  • LCSH : Psychometrics
  • LCSH : Rasch models
  • LCSH : Psychology -- Statistical methods
  • LCSH : Social sciences -- Statistical methods
• Parent Bibliography ID:
  • BB06063161