No single metacognitive self-report can be recommended as the industry standard; the COMEGAM-ro has the strongest statistical support but is unreplicated¶

Claim · All claims
Evidence · 1 study (2 entries) · quant-synthesis r2–r3 · q2–q3
Currency · newest study 2020 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2023: tool and model accuracy changes quickly

Subclaims¶

q3 i? The systematic review concludes there is not a single self-report that can be recommended as the industry standard. → Craig 2020 q2 i? Ning's bifactor structure showed the best fit, but Akaike and Bayesian criteria make it questionable whether it beats the two-factor structure. → Craig 2020 (2)

Evidence¶

Craig 2020¶

Craig, K., Hale, D., Grainger, C., & Stewart, M. E. (2020). Evaluating metacognitive self-reports: systematic reviews of the value of self-report in metacognitive research. Metacognition and Learning, 15, 155-213. https://doi.org/10.1007/s11409-020-09222-y

q3 · i? · quant-synthesis · r3

Conclusion of the systematic review of 22 factor-structure studies: "there is not a single self-report that can be recommended as the industry standard (i.e. reliable and replicable)"; self-reports are best suited to evaluate two distinctive metacognitive factors.

"Based on the systematic review, there is not a single self-report that can be recommended as the industry standard (i.e. reliable and replicable)."

Craig 2020 (2)¶

Craig, K., Hale, D., Grainger, C., & Stewart, M. E. (2020). Evaluating metacognitive self-reports: systematic reviews of the value of self-report in metacognitive research. Metacognition and Learning, 15, 155-213. https://doi.org/10.1007/s11409-020-09222-y

q2 · i? · quant-synthesis · r2

Review's evaluation of Ning's (2017) bifactor model on the JrMAI version A: it "showed a bi-factor structure of general metacognition along with KOC and ROC to be the best fit," but information criteria make the advantage over the two-factor model questionable.

"Results showed a bi-factor structure of general metacognition along with KOC and ROC to be the best fit (Fig. 4). However, upon looking at the reported Akaike and Bayesian analysis, it is questionable whether the bifactor structure is actually a better fit than the two-factor structure."

Discussion¶

Related Claims¶

• Social presence shows the strongest association with metacognition in an online case-based course, while teaching presence shows no significant relationship — related
• Learners misjudge which learning strategies are effective — related
• Metacognitive skill level may moderate the factor structure of self-reported metacognition, with lower-scoring respondents showing a unidimensional structure — related
• Self-report measures of metacognition support a two-factor structure separating metacognitive knowledge from metacognitive regulation — related