Math self-efficacy (first four SNS items) was the only variable significantly predicting monitoring judgments on all four health math problems¶

Claim · All claims
Evidence · 1 study · causal r3 · q3
Currency · newest study 2022 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Higher math self-efficacy was associated with higher item-level monitoring judgments across all four problems, controlling for other predictors. → Scheibe 2022

Evidence¶

Scheibe 2022¶

Scheibe, D. A., Fitzsimmons, C. J., Mielicki, M. K., Taber, J. M., Sidney, P. G., Coifman, K., & Thompson, C. A. (2022). Confidence in COVID problem solving: What factors predict adults’ item-level metacognitive judgments on health-related math problems before and after an educational intervention? Metacognition and Learning. https://doi.org/10.1007/s11409-022-09300-3

q3 · i? · causal · r3

Linear regressions predicting item-level monitoring judgments for each of the four problems in the secondary analysis of 1,177 adults. The SNS self-perceived math ability subscale was significant on all four problems, with "β’s ≥ 0.12, t’s ≥ 4.10, p’s < 0.001".

"the only variable which was a significant predictor of monitoring judgments on all four problems was the 4-item SNS self-perceived math ability subscale (β’s ≥ 0.12, t’s ≥ 4.10, p’s < 0.001)"

Discussion¶

Related Claims¶

• Adults randomly assigned to a worked-example educational intervention made higher post-intervention monitoring judgments on health math problems than control participants — related
• Men reported higher monitoring judgments on health math problems than women, even accounting for performance accuracy — related
• Adults who answered health math problems correctly reported higher monitoring judgments than those who answered incorrectly, with larger differences at posttest than pretest — related
• Math anxiety explained variance in posttest monitoring judgments beyond trait anxiety, supporting its distinctness from general anxiety — related
• Math anxiety mediated the effect of gender on pretest monitoring judgments in exploratory analyses — related