This study gathered, analyzed, and compared perspectives of students who were honors-eligible but never began the program, students who began in honors and discontinued their enrollment, and those who were persisting in honors. Broadly speaking (and not surprisingly), the responses of students persisting in honors reflected the most positive…

The purpose of the current study was to help understand scholarly activity better among counseling psychology doctoral students. Two new variables were added to the previously created predictor model of scholarly activity: advisory working alliance and research competence. Three path analytic models were designed in the current study: (1) a…

This paper tests a multivariate theory of family status, socialization, and student politics employing two different methodological techniques: (1) the popular path analysis method as compared with (2) a modified causal analysis approach. Results reveal that both techniques appear to be a reliable check on one another. (Editor/PG)

Asserts that path analysis is an optimum data-analytic technique for the research, development, and evaluation of planned interventions to reduce college student attrition. Describes and illustrates technique of path analysis. (Author/NB)

An extension of the methods of path analysis to include studies of categorical data was described and exemplified in a causal study of college dropouts. The usual models and methods of causal (path) analysis were designed for the study of quantitative variables and are not appropriate when the variables under investigation are categorical.…

The authors' approach to using pattern-centered analyses and longitudinal data addresses how configurations of personal and contextual factors forecast the educational achievement and attainments of different youth across adolescence. Here, they discuss various types of pattern-centered analyses and provide an empirical illustration of how these…

Data sets from Australia were analyzed using a causal model to determine the possible causes of sex differences in ASAT scores. Observed differences could be explained in terms of differences in students' English scores, the time the students spent studying mathematics, and their confidence in success. (Author/MLW)

Path analysis was used to explore the relationships among a number of variables related to student persistence. The subjects were freshmen in the College of Liberal Arts, University of Minnesota. Variables that showed the largest total effects on persistence were college grade-point average and high school rank. (Author/MLW)