Persistence varies both within and between students, warranting multilevel modeling, and level-1 predictors explained 18% of variance¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person
Subclaims¶
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q2 i? The intraclass correlation was .13 with significant between-students variance, and adding level-1 predictors explained 18% of the outcome variance relative to the fully unconditional model. → Rahimi 2021
Evidence¶
Rahimi 2021¶
Rahimi, S., Shute, V., & Zhang, Q. (2021). The effects of game and student characteristics on persistence in educational games: A hierarchical linear modeling approach. International Journal of Technology in Education and Science (IJTES), 5(2), 141-165. https://doi.org/10.46328/ijtes.118
q2 · i? · associational · r2
The fully unconditional HLM model on 3,803 observations from 137 students showed significant between-students variance, and the pseudo R-squared calculation showed "The added level-1 predictors helped explain 18% of the variance in the outcome variable compared to the fully unconditional model."
"The ICC for this data is .13, and the between-students variance of individual means is statistically significant (χ2 (136) = 749.11, p < .001)."
Discussion¶
Related Claims¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
multilevel-structure-of-gameplay-persistence |
title |
Persistence varies both within and between students, warranting multilevel modeling, and level-1 predictors explained 18% of variance |
description |
Persistence varies both within and between students, warranting multilevel modeling, and level-1 predictors explained 18% of variance |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2021 |
generated |
by process:wiki-ingest on 2026-10-16 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — rahimi-2021 |
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