Profiles of Distress and Achievement: Latent Class Analysis of Mental Health, Grades, Predicting Postsecondary Plans

• In Event: AERA Poster Session Friday 9:45am
  In Poster Session: Counseling Poster Session A

Abstract

In this study we used latent class analysis to examine how anxiety, depression, trauma, and academic performance intersect to shape postsecondary plans among 51,725 ninth and eleventh-grade students. Based on secondary data analysis of a state-wide survey, four distinct latent profiles emerged: Low Distress/High Grades, High Distress/Moderate Grades, Anxious High-Performers, and Trauma-Predominant/Lower Grades. These latent profiles reflect the complexity of co-occurring mental health challenges and trauma, rather than isolated conditions. From logistic regression we found that class membership significantly predicted college-going aspirations, controlling for socioeconomic and demographic factors. From these findings we underscore the need for school-based supports that recognize psychological distress may be masked by achievement and highlight the value of nuanced approaches to counseling and mental health interventions.

Authors

• Julio Caesar, Bloomington Public Schools

• Stacy R. Karl, Minnesota State Colleges and Universities

• Michael C. Rodriguez, University of Minnesota