The purpose of this paper is to demonstrate the use of the general linear model (GLM) in problems with repeated measures on a dependent variable. Such problems include pretest-posttest designs, multitrial designs, and groups by trials designs. For each of these designs, a GLM analysis is demonstrated wherein full models are formed and restrictions…

Nonlinear relationships and latent variable assumptions can lead to serious specification errors in structural models. A quadratic relationship, described by a linear structural model with a latent variable, is shown to have less predictive validity than a simple manifest variable regression model. Advocates the use of simpler preliminary…

Three procedures used to control Type I error rate in stepwise regression analysis are forward selection, backward elimination, and true stepwise. In the forward selection method, a model of the dependent variable is formed by choosing the single best predictor; then the second predictor which makes the strongest contribution to the prediction of…

This study determines the nature and degree of relationship that exists between certain student characteristics and student ratings of instruction. The student evaluations that were used as criteria were obtained from the Instructional Improvement Questionnaire (IIQ) developed at Southern Illinois University. The majority of predictors (student…

This study was conducted to determine if student evaluations of faculty are affected by the characteristics of the teacher, the student, and the class. Each instructor was asked to answer questions indicating personal warmth, professorial rank, years of teaching experience, sex, and class size. Students were asked to complete the Instructional…