Weights simulation tool for Texas community college funding scenarios¶
Product or Programme · All products and programmes
Evidence · 4 claims (4 for) · 1 study (1 associational),q2· 0 of 1 report an effect size · 4 claims rest on one study
Description¶
A simulation tool developed by REL Southwest with the Texas Higher Education Coordinating Board to model community-college funding scenarios and project adequate spending levels based on student-need and institutional factors.
Components¶
Claims¶
- Cost function analysis indicates substantially higher spending is needed for equal opportunity: weights of 2.49 for first-generation and 2.63 for students older than 24 [+W]
- Colleges serving the highest shares of first-generation students tended to have larger adequacy gaps, spending $1,475 below projected adequate cost [+W]
- Texas's current funding system is progressive for several need factors, but the additional spending may not be enough for equal opportunity [+W]
- Smaller community colleges tended to have larger adequacy gaps, with colleges under 4,001 students spending $1,871 (17 percent) below projected adequate cost [+W]
Related Products and Programmes¶
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Key Sources¶
- Levin, J., Baker, B., Lee, J., Atchison, D., & Kelchen, R. (2022). An Examination of the Costs of Texas Community Colleges. Regional Educational Laboratory Southwest. https://ies.ed.gov/ncee/edlabs
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
weights-simulation-tool-for-texas-community-college-funding-scenarios |
title |
Weights simulation tool for Texas community college funding scenarios |
description |
A simulation tool developed by REL Southwest with the Texas Higher Education Coordinating Board to model community-college funding scenarios and project adequate spending levels based on student-need and institutional factors. |
status |
review |
moved_from |
element/community-college-weights-simulation-tool |
product_kind |
software |
generated |
by process:sweep-kinds on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — levin-2022 |
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