Clustered data (e.g., students within schools) are often analyzed in educational research where data are naturally nested. As a consequence, multilevel modeling (MLM) has commonly been used to study the contextual or group-level (e.g., school) effects on individual outcomes. The current study investigates the use of an alternative procedure to…

Colleges and universities are being pressed to seek innovative ways to measure student learning outcomes and identify the conditions that lead to their development. Understanding how students group according to a multidimensional set of learning outcomes provides information on the extent to which institutions are meeting goals. This study…