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ERIC Number: EJ572806
Record Type: Journal
Publication Date: 1998
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: ISSN-1090-655X
EISSN: N/A
Detecting Multidimensionality: Which Residual Data-Type Works Best?
Linacre, John Michael
Journal of Outcome Measurement, v2 n3 p266-83 1998
Simulation studies indicate that, for responses to complete tests, construction of Rasch measures from observational data, followed by principal components factor analysis of Rasch residuals, provides an effective means of identifying multidimensionality. The most diagnostically useful residual form was found to be the standardized residual. (SLD)
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A