Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to submit your manuscript to SPPS

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
Applied Psychological Measurement
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Kingston, N. M.
Right arrow Articles by Dorans, N. J.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

The Analysis of Item-Ability Regressions: An Exploratory IRT Model Fit Tool

Neal M. Kingston

Edueational Testing Service

Nell J. Dorans

Edueational Testing Service

The use of item-ability regressions (the comparison of the regression of the observed proportion of people answering an item correctly on estimated {theta} with the estimated item response function) to investigate the psychometric properties of particular item types in a given population was explored using data from four administrations of 10 item types (a total of 806 items) from the Graduate Record Examinations General Test. Although the method does not allow an absolute deter mination of fit for a latent trait model (in this case, for the three-parameter logistic model), it does show that certain item types consistently fit the model worse than other item types, and it led to and supported a specific hypothesis as to why the model probably did not fit these item types.

Applied Psychological Measurement, Vol. 9, No. 3, 281-288 (1985)
DOI: 10.1177/014662168500900306
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
 Educational and Psychological MeasurementHome page
Y.-S. Lee, J. A. Wollack, and J. Douglas
On the Use of Nonparametric Item Characteristic Curve Estimation Techniques for Checking Parametric Model Fit
Educational and Psychological Measurement, April 1, 2009; 69(2): 181 - 197.
[Abstract] [PDF]

Home page
 Applied Psychological MeasurementHome page
D. N. M. de Gruijter and J. H. A. L. de Jong
Item-Rest Regressions, Item Response Functions, and the Relation Between Test Forms
Applied Psychological Measurement, March 1, 1991; 15(1): 25 - 34.
[Abstract] [PDF]

Home page
 REVIEW OF RESEARCH IN EDUCATIONHome page
R. J. Mislevy
Chapter 6: Recent Developments in Item Response Theory with Implications for Teacher Certification
Review of Research in Education, January 1, 1987; 14(1): 239 - 275.
[PDF]