While withdrawal from higher education may be the result of many reasons both within and beyond the control of the student or the institution, the intent of not returning to higher education indicates the acceptance of a permanent disassociation with the pursuit of the higher education endeavor. It is of paramount importance in understanding the…

This study tested a causal model of the prediction of the rate of occurrence of social and academic problems that results from college students' drinking. The model posited two pathways, one examining self-worth perceptions and symptoms of depression as mediators and one examining binge-drinking frequency as a mediator. Predictors included:…

Discusses linear structural relations, Two Stage Least Squares, and path analysis as statistical procedures that sometimes permit causal inferences from correlational findings. Even though two variables cannot be interpreted causally due to a possible but unknown third variable, these methods are appropriate for handling models with correlated…

College student retention has become the area of research that has done the most to integrate various administrative factors and academic disciplinary concerns in the research agenda of higher education. V. Tintos model has long been cited as the major theory in explaining dropout behavior. As his theory is so intertwined with path analysis,…

Develops a causal model that explains over 40% of the variance in matriculation mathematics achievement of mature internal and external students at the University of Papua New Guinea. Background variables seem more important in the learning of mathematics compared to mediating variables for external students than for internal students. (MDH)

A major concern of science educators is the lack of talented females selecting science careers. In spite of attempts during the past few decades to create equality in all facets of life in the United States, many sexual stereotypes persist. The research presented here is designed to examine the relationship of sex to the relevant factors…