No published research describes colleges using segmentation to improve student success, though authors and experts see promise in the approach¶
Claim · All claims
Evidence · 1 study · reviewr?·q2
Currency · newest study 2014 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? The review found no example of published research describing how colleges used segmentation to improve students' success, while authors hypothesize about potential applications and interviewed experts agree such approaches have promise. → Ann E. Person 2014
Evidence¶
Ann E. Person 2014¶
Ann E. Person, Scott E. Baumgartner, Kristin Hallgren, Betsy Santos. (2014). Measurement and Segmentation of College Students' Noncognitive Attributes: A Targeted Review. Oakland, CA: Mathematica Policy Research. https://www.mathematica.org/publications/measurement-and-segmentation-of-college-students-noncognitive-attributes-a-targeted-review
q2 · i? · review · r?
A null finding from the targeted document review and expert interviews: the reviewers "found no example of published research" documenting institutional use of segmentation to improve success, while noting hypothesized applications and expert optimism.
"Finally, we found no example of published research that describes how colleges used segmentation to improve students’ success; however, authors do hypothesize about the potential applications of their research, and experts interviewed for the study agree that such approaches have promise for segmenting students to improve postsecondary success."
Discussion¶
Related Claims¶
- Literature and expert opinion converge on a limited number of key noncognitive attributes that matter for student success, with multiple available instruments — related
- Most research on noncognitive assessment and segmentation in postsecondary education is theoretical rather than applied to college practice — related
- Comprehensive programs offering wraparound support increase college completion rates, including when replicated in other contexts — related
- Segmentation boundary choices differentially affect statistics computed on epistemic-game process data — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
no-published-segmentation-application-example |
title |
No published research describes colleges using segmentation to improve student success, though authors and experts see promise in the approach |
description |
No published research describes colleges using segmentation to improve student success, though authors and experts see promise in the approach |
status |
review |
evidence_strength |
weak |
newest_evidence |
2014 |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — ann-e-person-2014 |
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