Peer reviewed
Direct linkERIC Number: EJ1041138
Record Type: Journal
Publication Date: 2014-Sep-10
Pages: 8
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1990-3839
EISSN: N/A
Assessing Model Data Fit of Unidimensional Item Response Theory Models in Simulated Data
Kose, Ibrahim Alper
Educational Research and Reviews, v9 n17 p642-649 Sep 2014
The purpose of this paper is to give an example of how to assess the model-data fit of unidimensional IRT models in simulated data. Also, the present research aims to explain the importance of fit and the consequences of misfit by using simulated data sets. Responses of 1000 examinees to a dichotomously scoring 20 item test were simulated with 25 replications. Also, data were simulated to fit the 2-PL model. 4-step procedure has been used for model-data fit and BILOG was used as software. Results were discussed in the frame of the literature.
Academic Journals. e-mail: err@academic.journals.org; e-mail: service@academicjournals.org; Web site: http://academicjournals.org/journal/ERR
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
