Academic and Behavioral Outcomes for Students at Risk for Emotional and Behavioral Disorders

Author:

Montague Marjorie1,Enders Craig2,Castro Marcelo3

Affiliation:

1. University of Miami

2. University of Nebraska–Lincoln

3. Nova Southeastern University

Abstract

The purpose of this study is to describe academic and behavioral outcomes for adolescents who were identified when they were in kindergarten and first grade as being at risk for developing emotional and behavioral disorders. Results indicated that primary school academic achievement and teacher ratings of academic competence were highly predictive of middle school reading achievement and moderately predictive of math achievement. Teacher ratings of behavior across time were consistent and reliable, and behavioral ratings by primary school teachers were predictive of students' behavioral ratings by middle school teachers. These findings suggest that young students with academic and behavioral problems continue to display problems into adolescence, placing them at serious risk for school failure and dropping out. Results have implications for early identification and prevention/intervention programs for at-risk students.

Publisher

SAGE Publications

Subject

Clinical Psychology,Developmental and Educational Psychology,Education

Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Teachers as co-regulators of children’s emotions: A descriptive study of teacher-child emotion dialogues in special education;Research in Developmental Disabilities;2021-05

2. Using Internalizing Symptoms to Predict Math Achievement Among Low-Income Urban Elementary Students;Contemporary School Psychology;2020-01-02

3. A Comparative Study of Behavior Problems among Left-Behind Children, Migrant Children and Local Children;International Journal of Environmental Research and Public Health;2018-04-01

4. Academic Assessment;Handbook of Childhood Psychopathology and Developmental Disabilities Assessment;2018

5. Evaluation of Multi-parameter Test Statistics for Multiple Imputation;Multivariate Behavioral Research;2017-03-22

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