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<p>To inform the use of universal social, emotional, and behavioral (SEB) screening in secondary schools, we examined the functioning of the Social, Academic, and Emotional Behavior Risk Screener–Student Rating Scale (mySAEBRS) across three occasions (fall, winter, and spring) in a sample of secondary students (Grades 6–12). With consideration for the frequency and timing of screening administration, we analyzed the stability of mySAEBRS raw scores, risk classifications, and score latent profiles. The total scale and subscales evidenced strong raw score stability as well as moderate-to-strong classification stability with one exception (the Social Behavior risk classification across the fall–spring interval). The three latent SEB risk profiles identified for each occasion (<i>flourishing, at low risk,</i> and <i>at some risk</i>) likewise demonstrated generally strong stability over screening intervals. We also evaluated the contributions of students’ sociodemographics to screening results. Eligibility for free or reduced-price lunch and special education, respectively, significantly predicted membership in the <i>at-low-risk</i> and <i>at-some-risk</i> profiles, with the <i>flourishing</i> profile as the reference group. We describe how these results may inform the design of universal screening systems as well as opportunities for future research to build upon these findings.</p>

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Stability, Latent Profiles, and Sociodemographic Predictors of Student-Rated Social, Emotional, and Behavioral Risk

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年4月28日

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  • Brittany N. Zakszeski,
  • Heather E. Ormiston,
  • Tyler L. Renshaw,
  • Mei-Ki Chan,
  • Daniel Osgood

摘要

To inform the use of universal social, emotional, and behavioral (SEB) screening in secondary schools, we examined the functioning of the Social, Academic, and Emotional Behavior Risk Screener–Student Rating Scale (mySAEBRS) across three occasions (fall, winter, and spring) in a sample of secondary students (Grades 6–12). With consideration for the frequency and timing of screening administration, we analyzed the stability of mySAEBRS raw scores, risk classifications, and score latent profiles. The total scale and subscales evidenced strong raw score stability as well as moderate-to-strong classification stability with one exception (the Social Behavior risk classification across the fall–spring interval). The three latent SEB risk profiles identified for each occasion (flourishing, at low risk, and at some risk) likewise demonstrated generally strong stability over screening intervals. We also evaluated the contributions of students’ sociodemographics to screening results. Eligibility for free or reduced-price lunch and special education, respectively, significantly predicted membership in the at-low-risk and at-some-risk profiles, with the flourishing profile as the reference group. We describe how these results may inform the design of universal screening systems as well as opportunities for future research to build upon these findings.