#  Are Students on Track? Comparing the Predictive Validity of Administrative and Survey Measures of Cognitive and Noncognitive Skills for Long-Term Outcomes 

 



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 **Date:** 05/23/2025 

 

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Education leaders need valid metrics to predict students’ long-term success. We use a unique data set with cognitive skills, self-regulation, behavior, course performance, and test scores for eighth-grade students from a Northeast school district. We link these data to students’ high school outcomes, college enrollment, persistence, and on-time degree completion. Survey-based cognitive and self-regulation measures predict high school and college outcomes. However, these relationships become small and lose statistical significance when test scores, grade point average, and an absences-suspensions index are included in the predictive models. For leaders hoping to identify the best on-track indicators for college completion, the information collected in student longitudinal data systems better predicts both short- and long-term educational outcomes than the survey-based self-regulation and cognitive measures.



 

 

 See also:- [ Research and Reports ](/resource-type/research-report)
- [ Researcher ](/audience/researcher)
- [ School/District Leader ](/audience/schooldistrict-leader)
- [ Postsecondary Access & Success ](/focus-areas/postsecondary-access-and-success)
- [ Boston Charter Research Collaborative ](/project-name/boston-charter-research-collaborative)
- [ 2025 ](/year/2025)
- [ K12 ](/sector/k12)