The Basics of Item Response Theory Using R

Author:   Frank B. Baker ,  Seock-Ho Kim
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2017
ISBN:  

9783319853437


Pages:   174
Publication Date:   28 July 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $181.10 Quantity:  
Add to Cart

Share |

The Basics of Item Response Theory Using R


Add your own review!

Overview

This graduate-level textbook is a tutorial for item response theory that covers both the basics of item response theory and the use of R for preparing graphical presentation in writings about the theory. Item response theory has become one of the most powerful tools used in test construction, yet one of the barriers to learning and applying it is the considerable amount of sophisticated computational effort required to illustrate even the simplest concepts. This text provides the reader access to the basic concepts of item response theory freed of the tedious underlying calculations. It is intended for those who possess limited knowledge of educational measurement and psychometrics. Rather than presenting the full scope of item response theory, this textbook is concise and practical and presents basic concepts without becoming enmeshed in underlying mathematical and computational complexities. Clearly written text and succinct R code allow anyone familiarwith statistical concepts to explore and apply item response theory in a practical way. In addition to students of educational measurement, this text will be valuable to measurement specialists working in testing programs at any level and who need an understanding of item response theory in order to evaluate its potential in their settings.

Full Product Details

Author:   Frank B. Baker ,  Seock-Ho Kim
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2017
Weight:   0.454kg
ISBN:  

9783319853437


ISBN 10:   3319853430
Pages:   174
Publication Date:   28 July 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Getting Started.- 1. The Item Characteristic Curve.- 2. Item Characteristic Curve Models.- 3. Estimating Item Parameters.- 4. The Test Characteristic Curve.- 5. Estimating an Examinee’s Ability.- 6. The Information Function.- 7. Test Calibration.- 8. Specifying the Characteristics of a Test.- Appendix A: R Introduction.- Appendix B: Estimating Item Parameters under the Two-Parameter Model with Logistic  Regression.- Appendix C: Putting the Three Tests on a Common Ability Scale: Test Equating.- References.- Index.

Reviews

Author Information

Frank B. Baker, Ph.D., is Professor Emeritus of the Department of Educational Psychology at the University of Wisconsin-Madison. He is author of numerous publications dealing with item response theory and statistical methodology. He received his B.S., M.S., and Ph.D. degrees from the University of Minnesota, Minneapolis. Seock-Ho Kim, Ph.D., is Professor in the Department of Educational Psychology at the University of Georgia. He is author of numerous publications in psychometrics and applied statistics and is a member of the American Educational Research Association, the American Statistical Association, the National Council on Measurement in Education, and the Psychometric Society, among other organizations. He received his B.A. from Korea University and his M.S. and Ph.D. degrees from the University of Wisconsin-Madison.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

Aorrng

Shopping Cart
Your cart is empty
Shopping cart
Mailing List