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Mack, Michael R.; Hensen, Cory; Barbera, Jack – Journal of Chemical Education, 2019
Quasi-experiments are common in studies that estimate the effect of instructional interventions on student performance outcomes. In this type of research, the nature of the experimental design, the choice in assessment, the selection of comparison groups, and the statistical methods used to analyze the comparison data dictate the validity of…
Descriptors: Science Instruction, Comparative Analysis, Inferences, Validity
Wing, Coady; Bello-Gomez, Ricardo A. – American Journal of Evaluation, 2018
Treatment effect estimates from a "regression discontinuity design" (RDD) have high internal validity. However, the arguments that support the design apply to a subpopulation that is narrower and usually different from the population of substantive interest in evaluation research. The disconnect between RDD population and the…
Descriptors: Regression (Statistics), Research Design, Validity, Evaluation Methods
Connelly, Brian S.; Sackett, Paul R.; Waters, Shonna D. – Personnel Psychology, 2013
Organizational and applied sciences have long struggled with improving causal inference in quasi-experiments. We introduce organizational researchers to propensity scoring, a statistical technique that has become popular in other applied sciences as a means for improving internal validity. Propensity scoring statistically models how individuals in…
Descriptors: Quasiexperimental Design, Control Groups, Inferences, Research Methodology

Humphreys, Lloyd G. – Intelligence, 1991
Cross-lagged methodology (CLM), which is virtually ignored by psychological researchers, is suggested for studies of causal relations in which controlled experimentation is unfeasible. The longitudinal facet in the design of CLM is highlighted. Advantages and limitations of the CLM are described. (SLD)
Descriptors: Causal Models, Correlation, Etiology, Inferences