Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here for more information on Research and Evaluation in Education and Psychology, 3e

Sign In to gain access to subscriptions and/or personal tools.
Educational and 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
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
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 Web of Science (3)
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Demars, C. E.
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?

Type I Error Rates for Parscale’s Fit Index

Christine E. Demars

James Madison University, demarsce{at}jmu.edu

Type I error rates for PARSCALE’s fit statistic were examined. Data were generated to fit the partial credit or graded response model, with test lengths of 10 or 20 items. The ability distribution was simulated to be either normal or uniform. Type I error rates were inflated for the shorter test length and, for the graded-response model, also for the longer test length when the ability distribution was uniform. In conditions in which {alpha} was inflated, it was particularly high when one or more response categories were used infrequently. Overall, PARSCALE’s fit index is not recommended for short tests.

Key Words: item fit • polytomous IRT • PARSCALE • graded response • partial credit

Educational and Psychological Measurement, Vol. 65, No. 1, 42-50 (2005)
DOI: 10.1177/0013164404264849


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
T. Liang and C. S. Wells
A Model Fit Statistic for Generalized Partial Credit Model
Educational and Psychological Measurement, December 1, 2009; 69(6): 913 - 928.
[Abstract] [PDF]


Home page
Applied Psychological MeasurementHome page
F. J. Abad, J. Olea, and V. Ponsoda
The Multiple-Choice Model: Some Solutions for Estimation of Parameters in the Presence of Omitted Responses
Applied Psychological Measurement, May 1, 2009; 33(3): 200 - 221.
[Abstract] [PDF]


Home page
Educational and Psychological MeasurementHome page
A. C. Carle, R. E. Millsap, and D. A. Cole
Measurement Bias Across Gender on the Children's Depression Inventory: Evidence for Invariance From Two Latent Variable Models
Educational and Psychological Measurement, April 1, 2008; 68(2): 281 - 303.
[Abstract] [PDF]