Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

The Basics of Item Response Theory Using R, Paperback / softback Book

The Basics of Item Response Theory Using R Paperback / softback

Part of the Statistics for Social and Behavioral Sciences series

Paperback / softback

Description

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.

Information

Other Formats

£79.99

 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information

Also in the Statistics for Social and Behavioral Sciences series  |  View all