Claims

Burnout significantly predicts actual dropout behavior in the small number of studies measuring it directly

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · q2
Currency · newest study 2026 · 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? In the three studies examining direct dropout behavior, burnout (including cynicism, inadequacy, and total burnout profiles) predicted higher dropout rates or non-continuation. → Daniel J. Madigan 2026

Evidence

Daniel J. Madigan 2026

Daniel J. Madigan, Hanna L. Glandorf. (2026). Student Burnout and Educational Dropout: A Systematic Review and Meta-Analysis of Dropout Behavior and Intentions. Educational Psychology Review. https://doi.org/10.1007/s10648-026-10191-y

q2 · i? · quant-synthesis · r3

Narrative synthesis of three longitudinal studies measuring actual dropout behavior (two via self-report, one via enrollment status the next academic year). The review reports that "high levels of cynicism and inadequacy predicted higher dropout rates"; no pooled effect size was computed for behavior.

"In these studies, high levels of cynicism and inadequacy predicted higher dropout rates as did profiles reflecting high levels of overall (or total) burnout."

Discussion

Page metadata
Field Value
type claim
id burnout-predicts-dropout-behavior
title Burnout significantly predicts actual dropout behavior in the small number of studies measuring it directly
description Burnout significantly predicts actual dropout behavior in the small number of studies measuring it directly
status review
evidence_strength weak
newest_evidence 2026
generated by process:wiki-ingest on 2026-10-22
trust unverified — no one has confirmed this page's content
sources 1 — daniel-j-madigan-2026

Frontmatter is the page's machine-readable record — see the Schema & Guide.