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Oxford University Press is a department of the University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide.

Print Price: $45.50

Format:
Paperback
144 pp.
5.5" x 8.25"

ISBN-13:
9780195377033

Publication date:
May 2010

Imprint: OUP US


Item Response Theory

Christine DeMars

Series : Understanding Statistics

This is a title in our Understanding Statistics series, which is designed to provide researchers with authoritative guides to understanding, presenting and critiquing analyses and associated inferences. Each volume in the series demonstrates how the relevant topic should be reported -- including detail surrounding what can be said, and how it should be said, as well as drawing boundaries around what cannot appropriately be claimed or inferred.

This volume addresses an important issue for the design of survey instruments, which is rarely taught in graduate programs beyond those specifically for statisticians. Item Response Theory is used to describe the application of mathematical models to data from questionnaires and tests as a basis for measuring abilities, attitudes, or other variables. It is used for statistical analysis and development of assessments, often for high stakes tests such as the Graduate Record Examination. The author is known for her clear, accessible writing; like all books in this series, this volume includes examples of both good and bad write-ups for methods sections of journal articles.

Readership : Graduate students and scholars in psychology and other social science disciplines.

There is no Table of Contents available at this time.
There are no Instructor/Student Resources available at this time.

Christine DeMars is Associate Professor of Graduate Psychology at the Center for Assessment and Research Studies at James Madison University.

Developing and Validating Rapid Assessment Instruments - Neil Abell, David W. Springer and Akihito Kamata

Special Features

  • Clear description of how to write about this subject in the methods sections of professional articles.
  • Examples of good and bad write-ups.
  • Brief and clear introduction to the topic.