Claims

Excel-based statistics instruction improved pre-service teachers' attitudes towards statistics more than theoretical instruction on all six SATS-36 factors

Claim · All claims
Evidence · 1 study · causal r1 · 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? Posttest comparisons showed significant differences between control and experiment groups on all six attitude factors (affect, cognitive competence, value, difficulty, interest, effort), favouring the Excel group. → Serhat Aydın 2016

Evidence

Serhat Aydın 2016

Serhat Aydın. (2016). Using Excel in Teacher Education for Sustainability. Journal of Teacher Education for Sustainability, 18(2). https://doi.org/10.1515/jtes-2016-0017

q2 · i? · causal · r1

Posttest t-tests for independent samples on Rasch mean SATS-36 scores of the control (n=52) and experiment (n=50) groups after instruction. The article reports "significant differences between control and experiment groups" on all six factors; Table 5 prints p = .00 for each factor. No effect size is printed.

"The pretest scores show that there are significant differences between control and experiment groups in terms of the six factors of attitudes towards statistics."

Discussion

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