ERIC Number: EJ1074150
Record Type: Journal
Publication Date: 2015
Abstractor: As Provided
Reference Count: N/A
An NCME Instructional Module on Item-Fit Statistics for Item Response Theory Models
Ames, Allison J.; Penfield, Randall D.
Educational Measurement: Issues and Practice, v34 n3 p39-48 Fall 2015
Drawing valid inferences from item response theory (IRT) models is contingent upon a good fit of the data to the model. Violations of model-data fit have numerous consequences, limiting the usefulness and applicability of the model. This instructional module provides an overview of methods used for evaluating the fit of IRT models. Upon completing this module, the reader will have an understanding of traditional and Bayesian approaches for evaluating model-data fit of IRT models, the relative advantages of each approach, and the software available to implement each method.
Descriptors: Item Response Theory, Goodness of Fit, Models, Evaluation Methods, Bayesian Statistics, Computer Software
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Authoring Institution: N/A