Claims

CCM showed adequate model-data fit for game log data, except for infrequent tasks 7 and 9

Claim · All claims
Evidence · 1 study (2 entries) · design r2 · q3
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2025: 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 i? Observed total scores were similar to model-implied total scores, suggesting the CCM can fit the data. → Jiaqi Yu 2022 q3 i? Weighted and unweighted MAD values were less than .25 except those related to tasks 7 and 9. → Jiaqi Yu 2022 (2)

Evidence

Jiaqi Yu 2022

Jiaqi Yu, Wenchao Ma, Jewoong Moon, Andre R. Denham. (2022). Developing a Stealth Assessment System Using a Continuous Conjunctive Model. Journal of Learning Analytics, 9(3), 11–31. https://doi.org/10.18608/jla.2022.7639

q3 · i? · design · r2

Internal model evaluation comparing histogram of observed total scores with density plot of model-implied total scores (Figure 5). "The observed and model-implied total scores are similar, suggesting that the model can fit data."

"The observed and model-implied total scores are similar, suggesting that the model can fit data."

Jiaqi Yu 2022 (2)

Jiaqi Yu, Wenchao Ma, Jewoong Moon, Andre R. Denham. (2022). Developing a Stealth Assessment System Using a Continuous Conjunctive Model. Journal of Learning Analytics, 9(3), 11–31. https://doi.org/10.18608/jla.2022.7639

q3 · i? · design · r2

Weighted and unweighted mean absolute deviation computed per task for both halves. "all values were less than .25, except those related to tasks 7 and 9" — task 7 unweighted MAD was 0.34 and 0.36 in the two halves.

"The values of MAD are on a scale of 0 to 1 and all values were less than .25, except those related to tasks 7 and 9, suggesting that the model can fit most data adequately."

Discussion

Page metadata
Field Value
type claim
id ccm-model-data-fit-adequate-except-tasks-7-9
title CCM showed adequate model-data fit for game log data, except for infrequent tasks 7 and 9
description CCM showed adequate model-data fit for game log data, except for infrequent tasks 7 and 9
status review
evidence_strength moderate
newest_evidence 2022
recheck_by 2025
generated by process:wiki-ingest on 2026-10-09
trust unverified — no one has confirmed this page's content
sources 2 — jiaqi-yu-2022, jiaqi-yu-2022-2

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