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An Estimation Procedure for the Rasch Model Allowing Missing Data [microform] / Robert F. Boldt
Bib ID 5235864
Format BookBook, MicroformMicroform, OnlineOnline
Author
Boldt, Robert F
 
Online Versions
Description [Washington, D.C.] : Distributed by ERIC Clearinghouse, 1972 
16 p. 
Summary

The Rasch model and other latent trait models encounter some difficulty when faced with an appreciable amount of missing data or omitting behavior. The present note assumes that some reasonable missing data model has been formulated which does not involve the parameters associated with the latent ability of interest. A maximum likelihood function is used that is based on probabilities which are conditional on the occurrence of a response. (Author/DB)

Notes

May also be available online. Address as at 14/8/18: https://eric.ed.gov/

Reproduction Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive. 
Subjects Data Analysis.  |  Item Analysis.  |  Mathematical Models.  |  Measurement Techniques.  |  Statistical Studies.  |  Test Interpretation.  |  Rasch Model
Other authors/contributors Educational Testing Service, Princeton, NJ
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