Module users showed a different response-frequency pattern: more correct responses but also more extreme over- and under-diagnoses¶
Claim · All claims
Evidence · 1 study · associationalr1·q2
Currency · newest study 2016 · 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.
q2 i? The chi-square test revealed a statistically significant difference in response-class frequencies between test and control groups (p=0.0053), with the test group higher on correct (R) responses and on both extremes (OO and UU). → Tsao and Park 2016
Evidence¶
Tsao and Park 2016¶
Ariel Tsao, Sang E. Park. (2016). The Role of Online Learning in Radiographic Diagnosis in Dental Education. Journal of Education and Training Studies. https://doi.org/10.11114/jets.v4i3.1387
q2 · i? · associational · r1
Chi-square analysis of response-class frequencies in the pilot assessment of three de-identified FMX cases; Table 2 shows test-group frequencies of 78.2% R, 5.0% OO, 6.2% UU versus control 77.2% R, 4.0% OO, 5.9% UU. The article reports "a statistically significant difference in the frequencies of responses".
"The χ2-test analysis revealed a statistically significant difference in the frequencies of responses between the test and control group (p=0.0053)."
Discussion¶
Related Claims¶
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