Bias and Mean Square Errors of Estimators as Criteria for Evaluating Competing Analysis Strategies in Quasi-Experiments.

Olejnik, Stephen F.; Porter, Andrew C.

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Peer reviewed

ERIC Number: EJ243297

Record Type: Journal

Publication Date: 1981

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Bias and Mean Square Errors of Estimators as Criteria for Evaluating Competing Analysis Strategies in Quasi-Experiments.

Olejnik, Stephen F.; Porter, Andrew C.

Journal of Educational Statistics, v6 n1 p33-53 Spr 1981

The evaluation of competing analysis strategies based on estimator bias and variance is demonstrated using gains in standard scores and analysis of covariance procedures for quasi-experiments conforming to the fan-spread hypothesis. The findings do not lead to a uniform recommendation of either approach. (Author/JKS)

Descriptors: Bias, Data Analysis, Evaluation, Hypothesis Testing, Quasiexperimental Design, Research Design, Statistical Analysis

Publication Type: Journal Articles; Reports - Research

Education Level: N/A

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Language: English

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