Literaturnachweis - Detailanzeige
| Autor/inn/en | Saculla, Meghan Marie; Choi, Youn-Jeng; Thoma, Stephen J. |
|---|---|
| Titel | Individual and School Correlates of DIT-2 Scores: A Multilevel Modeling Approach |
| Quelle | (2017), (35 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Monographie |
| Schlagwörter | Moral Values; Moral Development; Measures (Individuals); Scores; College Students; Political Attitudes; College Entrance Examinations; Ethics; Institutional Characteristics; Position Papers; Course Descriptions; School Catalogs; Geographic Regions; Teacher Student Ratio; Racial Composition; Defining Issues Test; SAT (College Admission Test) |
| Abstract | Using multilevel modeling, moral reasoning was investigated with respect to individual characteristics and school-related (i.e. university/college) factors. Researchers observed significant effects for the individual characteristic of political orientation. Additionally, all investigated school-related factors were significant. Only main effects were observed for some school-related factors (i.e. average SAT score, institution type, and frequency of ethical and moral-related words in mission statements, values statements, and course catalogs). For other school-related factors (i.e. region, student-faculty ratio, racial composition), main effects were also observed, but the effects of these variables were particularly illuminating given their interactions with the individual characteristic of political orientation. Implications for educational communities are discussed. (As Provided). |
| Anmerkungen | AERA Online Paper Repository. Available from: American Educational Research Association. 1430 K Street NW Suite 1200, Washington, DC 20005. Tel: 202-238-3200; Fax: 202-238-3250; e-mail: subscriptions@aera.net; Web site: http://www.aera.net |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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