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Timing and Frequency of Screening in Schools: A Latent Variable Analysis of Behavioral Stability Over Time

  • Huihui Yu
  • , Kellina K. Lupas
  • , Sandra M. Chafouleas
  • , D. Betsy McCoach
  • , Gregory A. Fabiano
  • , T. Chris Riley-Tillman
  • , Megan E. Welsh
  • , Daniel T. Volk
  • Yale University
  • Florida International University
  • University of Connecticut
  • University of Missouri
  • University of California at Davis

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The growth of school-based initiatives incorporating multitiered systems of support (MTSS) for social, emotional, and behavioral domains has fueled interest in behavioral assessment. These assessments are foundational to determining risk for behavioral difficulties, yet research to date has been limited with regard to when and how often to administer them. The present study evaluated these questions within the framework of behavioral stability and examined the extent to which behavior is stable when measured by two school-based behavioral assessments: the Direct Behavior Rating—Single-Item Scales (DBR-SIS), and the Behavioral and Emotional Screening System (BESS). Participants included 451 students rated three times per year across 4 years, with the primary teacher from each year providing the within-year ratings. Latent variable models were employed to measure the constructs underlying the observed assessment scores. Models demonstrated that the DBR-SIS best captured changes within the year, whereas the BESS scores remained stable across time points within a year. Across years, scores from both assessments captured changes. The unique contributions of each assessment in the data-based decision-making process are discussed, and recommendations are given for their combined use within and across school years.

Original languageEnglish
Pages (from-to)952-965
Number of pages14
JournalPsychological Assessment
Volume34
Issue number10
DOIs
StatePublished - Aug 18 2022

Keywords

  • Assessment
  • Behavior
  • Latent modeling
  • Screening
  • Stability

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