Use of universal screening scores to predict distal academic and behavioral outcomes: A multilevel approach

Katie Eklund, Stephen Kilgus, Nathaniel von der Embse, Megan Beardmore, Nick Tanner

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

Initial research suggests screening for behavioral and emotional risk has been found to predict important behavioral and academic outcomes. The current study seeks to investigate the predictive validity of a novel screening measure, the Social, Academic, and Emotional Behavior Risk Screener-Teacher Rating Scale (SAEBRS-TRS). Although the SAEBRS-TRS has demonstrated initial evidence of strong psychometric properties (including reliability and validity), less is known about the SAEBRS-TRS's prediction of important student academic and behavioral outcomes. Hierarchical linear modeling (HLM) was employed due to the nested nature of the data of screening school-age children within classrooms. Results revealed that fall behavior screening data significantly and positively predicted spring reading scores, office disciplinary referrals, and student absences. Very little variance in the current model was due to differences between classrooms. Results suggest screening may be an important tool for school personnel seeking to use preventative methods for addressing student barriers to learning.

Original languageEnglish (US)
Pages (from-to)486-499
Number of pages14
JournalPsychological Assessment
Volume29
Issue number5
DOIs
StatePublished - May 2017

Keywords

  • Behavior assessment
  • Early identification
  • Hierarchical linear modeling
  • Office discipline referrals
  • Screening

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

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