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ERIC Number: EJ950166
Record Type: Journal
Publication Date: 2011
Pages: 16
Abstractor: As Provided
Reference Count: 47
ISBN: N/A
ISSN: ISSN-1380-3611
Statistical and Practical Significance of the Likelihood Ratio Test of the Linear Logistic Test Model versus the Rasch Model
Alexandrowicz, Rainer W.
Educational Research and Evaluation, v17 n5 p335-350 2011
The linear logistic test model (LLTM) is a valuable and approved tool in educational research, as it allows for modelling cognitive components involved in a cognitive task. It allows for a rigorous assessment of fit by means of a Likelihood Ratio Test (LRT). This approach is genuine to the Rasch family of models, yet it suffers from the unsolved problem of optimal sample size determination. The study presents a simulation study showing that comparably small deviations of item parameters can be detected with large power. However, even for models that have been rejected by the LRT, person parameters of the Rasch model (RM) and those of the non-fitting RM are surprisingly similar. This result suggests a reconsideration of the testing criteria when person parameter estimates are of major concern, as the LRT might prove overly sensitive for practical applications. (Contains 3 tables and 3 figures.)
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A