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Autor/inn/enDowdy, Erin; Kamphaus, Randy W.
TitelA Comparison of Classification Methods for Use in Predicting School-Based Outcomes
QuelleIn: California School Psychologist, 12 (2007), S.121-132 (12 Seiten)
PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1087-3414
SchlagwörterGrade Point Average; Educational Objectives; Outcomes of Education; Academic Achievement; Predictive Validity; Psychopathology; Rating Scales; Classification; Elementary School Students; Comparative Analysis; Measures (Individuals); Regression (Statistics); Correlation; Behavior Assessment System for Children
AbstractThere is growing evidence that current classification methods are not consistent with current empirical knowledge of childhood psychopathology and the optimal way to classify school-age children remains controversial. The current study investigated three classification methods (categorical, dimensional, person-oriented) for use in predicting school-based outcomes. Children (grades 1-5; N = 558) were administered the Behavior Assessment System for Children-Teacher Rating Scale and results were used to form three classification systems. Educational outcome variables were collected seven months later and the predictive validity of the three classification systems was compared using regression analyses. Findings indicated that all three methods for predicting educational outcomes were modest and were best able to predict later grade point averages. Results indicate the relative superiority of person-oriented and dimensional methods of classification; however these classification methods warrant further investigation. (Contains 6 tables.) (As Provided).
AnmerkungenCalifornia Association of School Psychologists. 1020 12th Street Suite 200, Sacramento, CA 95814. Tel: 916-444-1595; Fax: 916-444-1597; e-mail: communications@casponline.org; Web site: http://www.casponline.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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