A Maximum Likelihood Approach to Test Validation with Missing and Censored Dependent Variables.

Gross, Alan L.

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Peer reviewed

ERIC Number: EJ417558

Record Type: Journal

Publication Date: 1990

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0033-3123

EISSN: N/A

A Maximum Likelihood Approach to Test Validation with Missing and Censored Dependent Variables.

Gross, Alan L.

Psychometrika, v55 n3 p533-49 Sep 1990

A model is proposed for investigating test validity as a predictor of a criterion variable when there are both missing and censored scores in the data set. Implications for maximum likelihood estimation are discussed, and the method is illustrated with hypothetical data sets. (SLD)

Descriptors: Equations (Mathematics), Mathematical Models, Maximum Likelihood Statistics, Predictive Measurement, Predictor Variables, Scores, Test Validity, Testing Problems

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

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