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Applying Test Equating Methods

Using R

  • Book
  • © 2017

Overview

Authors:
  1. Jorge González

    1. Faculty of Mathematics, Pontificia Universidad Católica de Chile, Santiago, Chile

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    You can also search for this author in PubMed   Google Scholar

  2. Marie Wiberg

    1. Department of Statistics, Umeå School of Business and Economics, Umeå University, Umeå, Sweden

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    You can also search for this author in PubMed   Google Scholar

  • 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

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xxvi
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  2. General Equating Theory Background

    • Jorge González, Marie Wiberg
    Pages 1-18

  3. Preparing Score Distributions

    • Jorge González, Marie Wiberg
    Pages 19-42

  4. Traditional Equating Methods

    • Jorge González, Marie Wiberg
    Pages 43-72

  5. Kernel Equating

    • Jorge González, Marie Wiberg
    Pages 73-110

  6. Item Response Theory Equating

    • Jorge González, Marie Wiberg
    Pages 111-136

  7. Local Equating

    • Jorge González, Marie Wiberg
    Pages 137-155

  8. Recent Developments in Equating

    • Jorge González, Marie Wiberg
    Pages 157-178

  9. Back Matter

    Pages 179-196
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Keywords

About this book

This book describes how to use test equating methods in practice. The non-commercial software R is used throughout the book to illustrate how to perform different equating methods when scores data are collected under different data collection designs, such as equivalent groups design, single group design, counterbalanced design and non equivalent groups with anchor test design. The R packages equate, kequate and SNSequate, among others, are used to practically illustrate the different methods, while simulated and real data sets illustrate how the methods are conducted with the program R. The book covers traditional equating methods including, mean and linear equating, frequency estimation equating and chain equating, as well as modern equating methods such as kernel equating, local equating and combinations of these. It also offers chapters on observed and true score item response theory equating and discusses recent developments within the equating field. More specifically it covers the issue of including covariates within the equating process, the use of different kernels and ways of selecting bandwidths in kernel equating, and the Bayesian nonparametric estimation of equating functions. It also illustrates how to evaluate equating in practice using simulation and different equating specific measures such as the standard error of equating, percent relative error, different that matters and others.

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: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland 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

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