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Proper, Elizabeth C.; Pierre, Robert G. – Evaluation Review, 1980
This response to TM 505 708 briefly reviews the five major points of that article, and adds seven points that evaluators should consider when preparing reports. Illustrations are taken from Project Follow Through. (BW)
Descriptors: Analysis of Covariance, Data Analysis, Predictor Variables, Program Evaluation
Peer reviewed Peer reviewed
DiCostanzo, James L.; Eichelberger, R. Tony – Evaluation Review, 1980
Design, analysis, and reporting considerations for the application of analysis of covariance (ANCOVA) techniques in educational settings are described. Numerous examples are drawn from the national follow through evaluation, and suggestions for improving reports using ANCOVA-type techniques are presented. (Author/BW)
Descriptors: Analysis of Covariance, Data Analysis, Error of Measurement, Predictor Variables
Peer reviewed Peer reviewed
Yeaton, William H.; Sechrest, Lee – Evaluation Review, 1986
The central thesis of this article is that the process of eliminating validity threats depends fundamentally on no-difference findings, a fact that has not been made explicit by researchers. The implications of this neglect are explored using examples from a number of different substantive areas such as psychology, health, and medicine.…
Descriptors: Attrition (Research Studies), Construct Validity, Generalizability Theory, Hypothesis Testing