Adjustment variables show the largest coefficients of any factor domain but are typically measured after arrival, limiting their use for designing pre-transition interventions¶
Claim · All claims
Evidence · 1 study (2 entries) · reviewr2–r3·q2
Currency · newest study 2025 · 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? Adjustment variables had the largest coefficients, suggesting they are among the strongest protective factors for student success. → Ball 2025
q2 i? Because these measures were administered once students were at their institution, they do not illuminate a path towards a pre-transition intervention and are more often outcomes than predictors. → Ball 2025 (2)
Evidence¶
Ball 2025¶
Ball, I., Banerjee, M., Holliman, A., & Tyndall, I. (2025). Investigating Success in the Transition to University: A Systematic Review of Personal Risk and Protective Factors Influencing Psychosocial Success. https://osf.io/vxu5q?view_only=ee23e20f57c54891b842c92b7a4858de
q2 · i? · review · r2
Narrative synthesis of the acclimation domain (Table A3) across retained longitudinal studies; the review states these variables show "the largest coefficients" of the factor groups. No pooled effect size is printed.
"When looking at the adjustment variables we see the largest coefficients suggesting these variables are some of the strongest protective factors to student success"
Ball 2025 (2)¶
Ball, I., Banerjee, M., Holliman, A., & Tyndall, I. (2025). Investigating Success in the Transition to University: A Systematic Review of Personal Risk and Protective Factors Influencing Psychosocial Success. https://osf.io/vxu5q?view_only=ee23e20f57c54891b842c92b7a4858de
q2 · i? · review · r3
The review's own caveat: although good adjustment has positive outcomes, this "does not help illuminate a path towards an intervention", and these factors "are more often utilised as outcome measures than predictive factors".
"these measures were administered once students were at their institution and both Li et al. (2021) and Meng et al. (2015) had month long data collection windows"
Discussion¶
Related Claims¶
- A systematic review of 32 longitudinal studies identified 96 personal risk and protective factors for psychosocial transition success, consolidated into 16 salient elements across five higher-order domains — a broader claim this one bears on
- Most extracted associations are small: 219 of nearly 500 coefficients fall below a medium effect size, with conscientiousness–academic adjustment (.64) the largest — related
- Most retained studies lack pre-university baselines, with only five of 32 taking a baseline before students started university, limiting understanding of pre-transition processes — related
- Social support in all forms is a key protective factor for psychosocial success in the transition to university — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
adjustment-variables-largest-coefficients-timing-limit |
title |
Adjustment variables show the largest coefficients of any factor domain but are typically measured after arrival, limiting their use for designing pre-transition interventions |
description |
Adjustment variables show the largest coefficients of any factor domain but are typically measured after arrival, limiting their use for designing pre-transition interventions |
status |
review |
evidence_strength |
weak |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-22 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — ball-2025, ball-2025-2 |
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