Claims

The effect of learning-styles-tailored instruction on academic achievement does not differ significantly by course type

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3
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.

q3 i? Under the random effect model, the between-groups Q for course type was not significant (p > .05); effect sizes are independent of course type. → Kanadlı 2016

Evidence

Kanadlı 2016

Kanadlı, S. (2016). A meta-analysis on the effect of instructional designs based on the learning styles models on academic achievement, attitude and retention. Educational Sciences: Theory & Practice, 16, 2057–2086. https://doi.org/10.12738/estp.2016.6.0084

q3 · i? · quant-synthesis · r2

Moderator analysis across natural science, social science, mathematics, English and informatics courses. Random-effects effect sizes were 0.743 (English), 1.165 (natural science), 1.111 (social science) and 0.702 (informatics); the highest was in natural sciences and the lowest in informatics, but the difference was not significant.

"Under the random effect model, the Q statistic yielded no significance result ( p > .05). These results reveal that there is not a meaningful difference between the effects sizes of the classification created according to course type: namely the effect sizes of the courses tailored to learning styles model on the academic achievement are independent of course type."

Discussion

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