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The HSTA logic model: A comparative analysis of psychometric outcomes for predicting academic and life success

  • Sherron Benson McKendall
  • , Alan McKendall
  • , Michael Mann
  • , Alfgeir Kristjansson
  • , Catherine Morton
  • , Summer Kuhn
  • , Merge McMillion
  • , Ann Chester
  • West Virginia University

Research output: Contribution to journalArticlepeer-review

Abstract

In the 1960’s, federally funded pre-college academic enrichment programs were created to address the education barriers experienced by underserved students. Yet, the gaps continue to persist. This study examined psychosocial factors (e.g., pro academic identity, intellectual risk taking, social support, intentions, participatory community citizenship, etc.) for improving academic outcomes and wellbeing for participants in an out-of-school-time (OST) STEM+Medicine program. Participants’ psychosocial responses were compared to a control group. Results revealed that program participants showed significant differences on key psychosocial factors compared to non-participants. Significant relationships were shown between the primary variables (i.e., intentions and participatory community citizenship scale-b) and demographic/psychosocial variables through Ordinary Least Squares (OLS) regression and path analysis models.

Original languageAmerican English
Article number101492
JournalStudies in Educational Evaluation
Volume86
DOIs
StatePublished - Sep 2025

Keywords

  • OLS regression
  • Path analyses models
  • Program evaluation
  • Psychometric variables
  • Underrepresented students

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