MicroDYN is a stronger predictor of the in-game problem solving estimates than Raven's, with the rule-application facet more relevant than rule acquisition¶
Claim · All claims
Evidence · 1 study · designr2·q3·i3large
Currency · newest study 2016 · checked against its sources 2026-10-19 (automated, 1 of 1 entry) · not reviewed by a person · overdue for a recheck since 2019: tool and model accuracy changes quickly
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 i3 The problem solving estimate related more strongly to MicroDYN's rule-application facet (r = 0.43, p < 0.01) than to rule acquisition (r = 0.24, NS). → Shute 2016
Evidence¶
Shute 2016¶
Shute, V. J., Wang, L., Greiff, S., Zhao, W., & Moore, G. (2016). Measuring problem solving skills via stealth assessment in an engaging video game. Computers in Human Behavior, 63, 106-117. https://doi.org/10.1016/j.chb.2016.05.047
q3 · i3 · design · r2
Correlational analysis in the validation study comparing the stealth assessment estimate's relation to the two MicroDYN components. The article reports rule application at r = 0.43 (p < 0.01) versus rule acquisition at r = 0.24, not significant, and attributes the difference to conceptual similarity between MicroDYN and the game.
"our problem solving estimate was more strongly related to MicroDYN 's rule-application facet ( r ¼ 0.43, p < 0.01) than rule-acquisition (r ¼ 0.24, NS)."
Discussion¶
Related Claims¶
- Stealth assessment facets show good internal consistency (Cronbach's alpha = 0.76) while MicroDYN reliabilities were low in this middle-school sample — related
- Stealth assessment estimates of problem solving in Use Your Brainz correlate significantly with external measures (Raven's and MicroDYN) in middle-school students — related
- Adding MicroDYN rule application significantly improves prediction of overall problem solving, planning, tool usage, and evaluating progress, but not analyzing givens — related
- Raven's and MicroDYN jointly explain 22% of variance in the stealth assessment estimate, with MicroDYN adding 5.7% unique variance beyond Raven's — related
- Facet difficulty and intercorrelation patterns: analyzing givens was easiest, evaluating progress hardest, and planning correlated 0.98 with the overall estimate — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
microdyn-stronger-predictor-than-ravens |
title |
MicroDYN is a stronger predictor of the in-game problem solving estimates than Raven's, with the rule-application facet more relevant than rule acquisition |
description |
MicroDYN is a stronger predictor of the in-game problem solving estimates than Raven's, with the rule-application facet more relevant than rule acquisition |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2016 |
source_checked |
2026-10-19 |
recheck_by |
2019 |
generated |
by process:wiki-ingest on 2026-10-16 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — shute-2016 |
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