Literaturnachweis - Detailanzeige
| Autor/in | Mindrila, Diana L. |
|---|---|
| Titel | A Typology of Child School Behavior: Investigation Using Latent Profile Analysis and Cluster Analysis |
| Quelle | In: Psychology in the Schools, 53 (2016) 5, S.471-487 (17 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0033-3085 |
| DOI | 10.1002/pits.21917 |
| Schlagwörter | Classification; Student Behavior; Statistical Analysis; Multivariate Analysis; Student Adjustment; Behavior Problems; Student Characteristics; Academic Achievement; Physical Health; Elementary School Students; Behavior Assessment System for Children |
| Abstract | To describe and facilitate the identification of child school behavior patterns, we developed a typology of child school behavior (ages 6-11 years) using the norming data (N = 2,338) for the second edition of the Behavior Assessment System for Children Teacher Rating-Child form). Latent profile analysis was conducted with the entire data set, whereas cluster analysis was conducted within each latent profile. The resulting classification system included three latent profiles: (a) Adequate Adjustment (AA), (b) Mild Adjustment Difficulties (MAD), and (c) Functionally Impaired Adjustment (FIA). The AA latent profile included the (a) Well-Adapted, (b) Average, and (c) Worry clusters. The clusters identified within the MAD latent profile were (a) Academic Problems, (b) Physical Complaints, (c) Disruptive Behavior Problems, and (d) Internalizing Problems. Finally, the FIA latent profile comprised the (a) Clinical Problems-External and (b) Clinical Problems-Internal clusters. (As Provided). |
| Anmerkungen | Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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