Claims

Subject area is significantly associated with EVS usage patterns including number of modules, students' experience, and level of summative use

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2015 · 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? Chi-square tests confirmed significant associations between subject area and number of modules, students' experience, and level of summative use, with medium effect sizes for the latter two. → Marija Cubric 2015

Evidence

Marija Cubric 2015

Marija Cubric, and Amanda Jefferies. (2015). The benefits and challenges of large-scale deployment of electronic voting systems: University student views from across different subject groups. Computers & Education. https://doi.org/10.1016/j.compedu.2015.04.004

q2 · i? · associational · r2

Chi-square analysis of survey responses across three subject groups; Cramer's V for level of summative use (0.35) and students' experience (0.33) were both above the boundary for medium effects.

"Chi-square test confirmed the existence of significant associations (all at p<0.001 level) between the subject area and the corresponding variables: (a) number of modules: χ2(6)= 77.17 (b) students’ experience: χ2(4)= 131.16, and (c) level of summative use: χ2(4)= 152.58 respectively."

Discussion

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