TSE and burnout levels are autoregressively stable: current levels predict future levels of the same construct¶
Claim · All claims
Evidence · 1 study · associationalr3·q3
Currency · newest study 2020 · 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.
q3 i? Current TSE predicts future TSE and current burnout predicts future burnout across the three waves. → Kim 2020
Evidence¶
Kim 2020¶
Kim, Lisa E. and Burić, Irena. (2020). Teacher self-efficacy and burnout: Determining the directions of prediction through an autoregressive cross-lagged panel model. Journal of Educational Psychology. https://doi.org/10.1037/edu0000424
q3 · i? · associational · r3
Autoregressive paths from the final cross-lagged path models with covariates. The article reports "current TSE levels predicted future TSE levels" (β = .299 to .626) and stability paths for exhaustion and disengagement, supporting H9 and H10.
"current TSE levels predicted future TSE levels (β = .299 to .626) and current burnout levels predicted future burnout levels (β = .205 to .745 for exhaustion; β = .233 to .738 for disengagement), in support for H9 and H10, respectively"
Discussion¶
Related Claims¶
- Burnout dimensions (exhaustion and disengagement) negatively predict future teacher self-efficacy at adjacent time points — related
- TSE does not consistently predict future burnout; only one significant path (TSE to disengagement, Time 1 to Time 2) emerged — related
- TSE is negatively correlated with both exhaustion and disengagement at each of the three time points — related
- Interest is substantially more stable over time than boredom, whose autoregressive paths are low and decline — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
tse-burnout-autoregressive-stability |
title |
TSE and burnout levels are autoregressively stable: current levels predict future levels of the same construct |
description |
TSE and burnout levels are autoregressively stable: current levels predict future levels of the same construct |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2020 |
generated |
by process:wiki-ingest on 2026-10-23 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — kim-2020 |
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