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McCallon, Earl; McClaran, Rutledge – 1974
This is one of a series of eight short monographs intended to aid practicing educators in planning and conducting accountability programs in schools. This booklet discusses how to develop an experimental design appropriate to the objectives of a particular research or evaluation effort. Short sections focus in turn on the characteristics of a good…
Descriptors: Control Groups, Evaluation Methods, Experimental Groups, Guidelines
McNamara, James F. – International Journal of Educational Reform, 2004
This article is the second contribution to a research methods series dedicated to getting good results from survey research. In this series, "good results" is a stenographic term used to define surveys that yield accurate and meaningful information that decision makers can use with confidence when conducting program evaluation and policy…
Descriptors: Program Evaluation, Research Methodology, Validity, Data Analysis
Peer reviewedDwyer, James H. – Evaluation Review, 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…
Descriptors: Control Groups, Mathematical Models, Maximum Likelihood Statistics, Monte Carlo Methods
Bloom, Howard S.; Michalopoulos, Charles; Hill, Carolyn J.; Lei, Ying – 2002
A study explored which nonexperimental comparison group methods provide the most accurate estimates of the impacts of mandatory welfare-to-work programs and whether the best methods work well enough to substitute for random assignment experiments. Findings were compared for nonexperimental comparison groups and statistical adjustment procedures…
Descriptors: Adult Education, Comparative Analysis, Control Groups, Error of Measurement

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