Individual and School Correlates of DIT-2 Scores Using a Multilevel Modeling and Data Mining Analysis

Moral reasoning was investigated with respect to individual characteristics (i.e., education level, political orientation and sex) school-related university/college) factors using multilevel modeling data mining analysis. We used the detect school effects on moral as well for 16,334 students representing 79 different higher institutions across U.S. The factors, such racial composition, student–faculty ratio, average SAT score, institution type, institutions’ geographical region, frequencies of morally relevant words in college course catalog, mission value statements were collected through website searches. Data analysis utilized extract calculate from content. There significant characteristic orientation. Additionally, all significant. Only main observed some frequency statements, catalogs). For other ratio composition), also observed; however, these particularly illuminating given their interactions Implications educational communities are discussed.