Examining Subtypes of Behavioral/Emotional Risk Using Cluster Analysis
| Autor: | Austin Loukas, Bridget V. Dever, Chenchen Dai, Emily K. Gallagher, Craig Hochbein |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Predictive validity
050103 clinical psychology Multivariate analysis Referral Screening test 05 social sciences Behavioral assessment 050301 education Test validity Education Developmental psychology Clinical Psychology Intervention (counseling) 0501 psychology and cognitive sciences Psychology 0503 education Screening instrument General Psychology Clinical psychology |
| Zdroj: | Journal of Psychoeducational Assessment. 35:628-632 |
| ISSN: | 1557-5144 0734-2829 |
| DOI: | 10.1177/0734282916657646 |
| Popis: | Behavioral and emotional problems among children and adolescents can lead to numerous negative outcomes without intervention. From a prevention standpoint, screening for behavioral and emotional risk is an important step toward identifying such problems before the point of diagnosis or referral. The present study conducted a k-means cluster analysis to determine the subtypes of risk captured by one such screening instrument, the Behavioral and Emotional Screening System (BESS). The final solution produced four clusters: Well-Adapted, Internalizing/Adjustment Problems, Mild Externalizing Problems, and General Problems-Severe; these results were similar to those found with the full Behavioral Assessment System for Children, Second Edition (BASC-2), suggesting that the BESS assesses similar constructs. Predictive validity evidence suggested that cluster membership was associated with standard achievement scores and in-school disciplinary incidents. |
| Databáze: | OpenAIRE |
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