The summer outreach study uses a pretest-posttest randomized design with 40 percent of each graduating class assigned to treatment, analyzed via intent-to-treat models of fall enrollment¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr?·q2
Currency · newest study 2013 · 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? Graduating twelfth grade students with stated postsecondary plans were randomized into treatment or control, with 40 percent assigned to treatment and 60 percent to control. → Schneider 2013
q2 i? Effects will be estimated with an intent-to-treat model whose primary outcome is whether the student enrolled in college in the fall, using NSC enrollment data. → Schneider 2013 (2)
Evidence¶
Schneider 2013¶
Schneider, B., Broda, M., & Judy, J. (2013). Summer Outreach with Near-Age Peer Mentors: A Randomized Experiment to Improve the Transition to College. SREE Spring 2013 Conference abstract. https://eric.ed.gov/?id=ED564094
q2 · i? · causal · r?
Design description in the Research Design section of the abstract: a pretest, posttest, experimental design randomizing graduating seniors across eight CAP schools. The printed assignment split is 40 percent treatment and 60 percent control. No outcome effects are printed.
"Due to the different sizes of each high school and the available resources to conduct the intervention, 40 percent of each graduating class was assigned to the treatment and 60 percent was assigned to the control"
Schneider 2013 (2)¶
Schneider, B., Broda, M., & Judy, J. (2013). Summer Outreach with Near-Age Peer Mentors: A Randomized Experiment to Improve the Transition to College. SREE Spring 2013 Conference abstract. https://eric.ed.gov/?id=ED564094
q2 · i? · causal · r?
Analysis plan from the Data Collection and Analysis section: ITT models with student-level covariates and school-level fixed effects, plus binary fulfilled-plans and categorical institution-type outcomes, using National Student Clearinghouse enrollment data. This is a planned analysis; no results are printed.
"To estimate the effects of the near-age mentors summer outreach on college enrollment, we plan to estimate a simple Intent-to-Treat (ITT) model, where the primary outcome is of interest is whether or not the student enrolled in college in the fall."
Discussion¶
Related Claims¶
- Three of the five reviewed RCTs found no statistically significant effect of summer counseling on fall college enrollment (indeterminate effects) — related
- The summer between high school graduation and college start is a vulnerable period in which students intending to enroll fail to matriculate (summer melt) — related
Page metadata
| Field | Value |
|---|---|
status |
review |
generated |
by process:wiki-ingest on 2026-11-02 |
trust |
unverified — no one has confirmed this page's content |
Frontmatter is the page's machine-readable record — see the Schema & Guide.