Claims

Smaller, underpowered studies report larger flipped classroom effect sizes, indicating small-study and publication bias

Claim · All claims
Evidence · 1 study (2 entries) · quant-synthesis r3 · q3
Currency · newest study 2019 · checked against its sources 2026-10-31 (automated, 2 of 2 entries) · 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? Meta-regression shows study sample size exerts a fairly strong influence on effect sizes, with smaller studies having larger effect sizes. → Torstein Låg 2019 q3 i? Funnel-plot inspection and trim-and-fill indicate clear small-study or publication bias for continuous-learning measures. → Torstein Låg 2019 (2)

Evidence

Torstein Låg 2019

Torstein Låg, Rannveig Grøm Sæle. (2019). Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis. AERA Open. https://doi.org/10.1177/2332858419870489

q3 · i? · quant-synthesis · r3

Meta-regression on continuous-learning outcomes (sample size range 13–1,554). The article reports a negative sample-size coefficient (Z = −2.46, p = .01), consistent with small-study effects inflating the summary estimate.

"study sample size seems to exert a fairly strong influence on effect sizes, with smaller studies having larger effect sizes."

Torstein Låg 2019 (2)

Torstein Låg, Rannveig Grøm Sæle. (2019). Does the Flipped Classroom Improve Student Learning and Satisfaction? A Systematic Review and Meta-Analysis. AERA Open. https://doi.org/10.1177/2332858419870489

q3 · i? · quant-synthesis · r3

Publication bias assessment using funnel plots, Kendall's Tau, Egger's regression intercept, cumulative meta-analysis, fail-safe N, and trim-and-fill across the three outcomes. The article reports clear indications of bias for learning measures and less clear-cut but present bias for pass rates and satisfaction.

"For the continuous-learning measures outcome, there are clear indications of a small-study or publication bias."

Discussion

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