Claims

Models including task-dependent random effects fit CPS log data better than models with only fixed effects for all three planning indicators

Claim · All claims
Evidence · 1 study · associational r2 · q3
Currency · newest study 2019 · 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? For all three indicators, models including both overall (fixed) and task-dependent random effects fit the data significantly better than models including only overall effects, according to likelihood ratio tests and AIC. → Eichmann 2019

Evidence

Eichmann 2019

Eichmann, B., Goldhammer, F., Greiff, S., Pucite, L., & Naumann, J. (2019). The role of planning in complex problem solving. Computers & Education, 128, 1-12. https://doi.org/10.1016/j.compedu.2018.08.004

q3 · i? · associational · r2

Likelihood ratio tests comparing nested GLMMs for each indicator on log data from N = 1346 German students on 21 interactive PISA 2012 CPS tasks showed all more complex models fit better (all p < 0.001), confirming that "the models including both overall ( fixed) and task- dependent random effects fit the data better."

"The model comparisons for research questions 1 –3 show that the models including both overall ( fixed) and task- dependent random effects fit the data better than models including only overall e ffects, as shown in Table 2. In all model comparisons the more complex model has the better fit according to the likelihood ratio test and AIC."

Discussion

Page metadata
Field Value
type claim
id task-dependent-random-effects-fit-cps
title Models including task-dependent random effects fit CPS log data better than models with only fixed effects for all three planning indicators
description Models including task-dependent random effects fit CPS log data better than models with only fixed effects for all three planning indicators
status review
evidence_strength moderate
newest_evidence 2019
generated by process:wiki-ingest on 2026-10-29
trust unverified — no one has confirmed this page's content
sources 1 — eichmann-2019

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