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…

The authors describe the development and psychometric properties of the Korean Mood State Inventory (KMSI), which is designed to measure the mood states of Korean college students. Factor structure, concurrent validity, and internal consistency of the KMSI scores are reported. Implications, limitations, and recommendations for future research are…

The 5-Factor Wel, the latest version of the Wellness Evaluation of Lifestyle (WEL), was examined using a completely new 3.993-person database. Through exploratory and confirmatory factor analysis with 2 discrete subsets of these data, a new 4-factor solution was identified that provided the best fit for the data and accounted for 30% of the…

This article describes the development and psychometric properties of scores from the 43-item School Counselor Self-Efficacy (SCSE) Scale. Self-efficacy, according to social cognitive theory, is a mediating factor in performance. Practicing school counselors and master's-level students completed the SCSE. Factor structure, construct validity, and…