Exploratory factor analysis (EFA) is a data reduction technique used to condense data into smaller sets of summary variables by identifying underlying factors potentially accounting for patterns of collinearity among said variables. Using an illustrative example, the 5 general steps of EFA are described with best practices for decision making provided.

This study compared the attitudes toward help-seeking behavior and expectations about counseling of 135 college student-athletes and 132 nonathletes in an attempt to identify significant differences that might warrant the need for specific approaches with each population. Significant differences were found between student-athletes and nonathletes on both variables. Implications for college counselors and student affairs professionals are presented to address the growing concern that college student-athletes are increasingly underutilizing counseling and support services.

In this study, we examined the association between resilience, academic self-concept, and first-year student adjustment to college using data collected from 514 first-year undergraduate students enrolled at a medium-size, Hispanic-serving university in the southern United States. Utilizing a simultaneous multiple regression analysis, we found resilience and academic self-concept to be significant positive predictors of college adjustment for first-year students. Based on our findings, we provide suggestions for college counselors and student affairs professionals working to support students’ positive adjustment experiences.