Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…

Problems with using stepwise analytic methods are discussed, and better alternatives are illustrated. To make the illustrations concrete, an actual data set, involving responses of 91 medical school admissions directors to 30 variables, was used. The 30 variables involved perceptions of barriers to medical school with respect to characteristics of…

Magnitude of effect measures (MEMs), when adequately understood and correctly used, are important aids for researchers who do not want to rely solely on tests of statistical significance in substantive result interpretation. The MEM tells how much of the dependent variable can be controlled, predicted, or explained by the independent variables.…

This paper explores the common elements identified as context variables that may effect student evaluation of instruction, and presents literature from sociology, anthropology, and linguistics that offers renewed challenges to researchers in this area of data interpretation. The common context variables that are seen as effecting student…

Common elements identified as context variables that may affect student evaluation of instruction are explored, and the literature on student ratings of teacher effectiveness is reviewed. Sociocultural context variables (gender, race, ethnicity, and social class variables) are discussed in terms of stereotyping and prejudice found with…