An Estimation Procedure for the Rasch Model Allowing Missing Data

Author(s):

Boldt, Robert F.

Publication Year:

1972

Report Number:

RM-72-05

Source:

ETS Research Memorandum

Document Type:

Report

Page Count:

16

Subject/Key Words:

Item Analysis, Mathematical Models, Measurement Techniques, Rasch Model, Statistical Analysis

Abstract

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.

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