Novice secondary students show large pretest-to-posttest gains in learning and near transfer of probability calculation after studying a video modeling example, regardless of model or observer gender¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr2·q3·i3large
Currency · newest study 2016 · checked against its sources 2026-10-20 (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 i3 Learning scores improved massively from pretest to posttest after studying one video modeling example (no no-video control) (gp 2 = .807). → Vincent Hoogerheide 2016
q3 i3 Near transfer scores also improved significantly from pretest to posttest (gp 2 = .495). → Vincent Hoogerheide 2016 (2)
Evidence¶
Vincent Hoogerheide 2016¶
Vincent Hoogerheide, Sofie M. M. Loyens, Tamara van Gog. (2016). Learning from video modeling examples: does gender matter? Instructional Science, 44, 69-86. https://doi.org/10.1007/s11251-015-9360-y
q3 · i3 · causal · r2
Mixed ANOVA (Test Moment within; Gender Model and Gender Observer between) on learning items in a 2x2 experiment with 163 secondary students remaining after exclusions, 162 of them in the test-performance analyses (one left during the posttest). Posttest learning (M = 5.56) far exceeded pretest (M = 0.30), with a large printed effect size "gp 2 = .807". The experiment manipulated model and observer gender; every condition studied a video, and there was no no-video or alternative-instruction control, so the gain shows improvement after the study phase rather than an effect of the video itself.
"The scores obtained on the test items that measured learning showed a significant main effect of Test Moment, F(1, 158) = 658.79, p \ .001, gp 2 = .807. Participants performed significantly better on the Posttest (M = 5.56, SD = 2.55) than on the Pretest (M = 0.30, SD = 0.64)."
Vincent Hoogerheide 2016 (2)¶
Vincent Hoogerheide, Sofie M. M. Loyens, Tamara van Gog. (2016). Learning from video modeling examples: does gender matter? Instructional Science, 44, 69-86. https://doi.org/10.1007/s11251-015-9360-y
q3 · i3 · causal · r2
Same mixed ANOVA on the two near transfer items: posttest (M = 1.85) significantly higher than pretest (M = 0.28), with large printed effect size "gp 2 = .495". No gender main effects or interactions were significant. With no no-video control, the gain cannot be attributed to the video itself.
"With regard to near transfer, the main effect of Test Moment was significant, F(1, 158) = 154.96, p \ .001, gp 2 = .495. Per- formance was significantly higher on the Posttest ( M = 1.85, SD = 1.66) than on the Pretest (M = 0.28, SD = 0.54)."
Discussion¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
video-modeling-examples-large-gains-probability-novices |
title |
Novice secondary students show large pretest-to-posttest gains in learning and near transfer of probability calculation after studying a video modeling example, regardless of model or observer gender |
description |
Novice secondary students show large pretest-to-posttest gains in learning and near transfer of probability calculation after studying a video modeling example, regardless of model or observer gender |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2016 |
source_checked |
2026-10-20 |
generated |
by process:wiki-ingest on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — vincent-hoogerheide-2016, vincent-hoogerheide-2016-2 |
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