Overview
- Discusses how to perform traditional and modern equating methods within R, a platform that has grown in popularity over the last decade and which is freely available from the web
- Includes the latest innovative equating methods and practical guidelines on how they should be performed
- Illustrates both the application of several equating methods as well as how to assess them and choose among them
Part of the book series: Methodology of Educational Measurement and Assessment (MEMA)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents(7 chapters)
Keywords
- Test equating using R
- Equating data collection designs
- Presmoothing score distributions
- Polynomial log-linear models for presmoothing
- Traditional equating methods
- Kernel equating using R
- Bandwidth selection in kernel equating
- IRT equating using R
- Item parameter linking
- Local equating using R
- IRT kernel equating
- Assessment of equating
- Kernel equating under the NEC design
- Bayesian equating
- Equating using R
- R code for equating
- Concurrent calibration
- Fixed item parameter calibration
- Comparison of equating methods
- Equating with covariates
About this book
Authors and Affiliations
-
Faculty of Mathematics, Pontificia Universidad Católica de Chile, Santiago, Chile
Jorge González
-
Department of Statistics, Umeå School of Business and Economics, Umeå University, Umeå, Sweden
Marie Wiberg
Bibliographic Information
Book Title: Applying Test Equating Methods
Book Subtitle: Using R
Authors: Jorge González, Marie Wiberg
Series Title: Methodology of Educational Measurement and Assessment
DOI: https://doi.org/10.1007/978-3-319-51824-4
Publisher: Springer Cham
eBook Packages: Education, Education (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-51822-0Published: 13 March 2017
Softcover ISBN: 978-3-319-84750-4Published: 18 July 2018
eBook ISBN: 978-3-319-51824-4Published: 06 March 2017
Series ISSN: 2367-170X
Series E-ISSN: 2367-1718
Edition Number: 1
Number of Pages: XXVI, 196
Number of Illustrations: 20 b/w illustrations, 13 illustrations in colour
Topics: Assessment, Testing and Evaluation, Psychometrics, Statistics for Social Sciences, Humanities, Law