Sampling size is not an effective moderator of AR effects, with large samples (50+) at 0.647 and small samples (1-49) at 0.262¶
Claim · All claims
Evidence · 1 study · quant-synthesisr2·q3
Currency · newest study 2018 · 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? The difference in AR effect sizes between large (50 and over) and small (1-49) sampling groups was not statistically significant (Q = 2.734 below the critical 3.841). → Ozdemir M. 2018
Evidence¶
Ozdemir M. 2018¶
Ozdemir M., Sahin C., Arcagok S., & Demir M. K. (2018). The effect of augmented reality applications in learning process: A meta-analysis study. Eurasian Journal of Educational Research, 74, 165-186. https://doi.org/10.14689/ejer.2018.74.9
q3 · i? · quant-synthesis · r2
Subgroup moderator analysis within the meta-analysis by sampling size. Pooled ES was 0.647 for large samples (10 studies) and 0.262 for small samples (6 studies); the Q value (2.734) fell below the critical value (3.841), and the article concluded the sampling size variable is not effective.
"Table 8 indicated that the average effect size for the use of AR applications in a large sampling is 0.647, and the effect size in a small sampling is 0.262."
Discussion¶
Related Claims¶
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