The Excluded Variable Problem in Nonrandomized Control Group Designs.

Dwyer, James H.

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Peer reviewed

ERIC Number: EJ307831

Record Type: Journal

Publication Date: 1984

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The Excluded Variable Problem in Nonrandomized Control Group Designs.

Dwyer, James H.

Evaluation Review, v8 n4 p559-72 Aug 1984

A solution to the problem of specification error due to excluded variables in statistical models of treatment effects in nonrandomized (nonequivalent) control group designs is presented. It involves longitudinal observation with at least two pretests. A maximum likelihood estimation program such as LISREL may provide reasonable estimates of treatment effects. (Author/BS)

Descriptors: Control Groups, Mathematical Models, Maximum Likelihood Statistics, Monte Carlo Methods, Program Evaluation, Quasiexperimental Design, Research Design, Research Methodology, Research Problems, Statistical Bias, Statistical Studies

Publication Type: Journal Articles; Opinion Papers

Education Level: N/A

Audience: N/A

Language: English

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