Claims

Visualization format has a large multivariate and univariate effect on identifying motions and spatial arrangements

Claim · All claims
Evidence · 1 study · causal r2 · q3 · i3 large
Currency · newest study 2021 · 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 i3 A MANOVA showed the three groups differed significantly on the multivariate level (Wilks lambda = 0.35, F = 28.84, p = 0.000, η2 = 0.407) and on both univariate dependent variables (motions: η2 = 0.552; arrangements: η2 = 0.208). → Rolf Ploetzner 2021

Evidence

Rolf Ploetzner 2021

Rolf Ploetzner, Sandra Berney, Mireille Bétrancourt. (2021). When learning from animations is more successful than learning from static pictures: learning the specifics of change. Instructional Science. https://doi.org/10.1007/s11251-021-09541-w

q3 · i3 · causal · r2

Multivariate analysis of variance (Table 3) on the two dependent measures across the Picture, Four Pictures, and Animation groups: multivariate Wilks lambda = 0.35, F = 28.84, p = 0.000, η2 = 0.407; univariate η2 = 0.552 for motions and η2 = 0.208 for arrangements, both p = 0.000. Mechanical and spatial ability were not entered as covariates because group differences and correlations were nonsignificant.

"On the multivariate level, the investigated groups differ significantly. The effect size is large (cf. Cohen, 1988; Rosenthal, 1994). On the univariate level, the groups differ significantly with respect to the identification of motions as well as with respect to the identification of arrangements. The effect sizes are large"

Discussion

Page metadata
Field Value
type claim
id manova-omnibus-visualization-format-effect
title Visualization format has a large multivariate and univariate effect on identifying motions and spatial arrangements
description Visualization format has a large multivariate and univariate effect on identifying motions and spatial arrangements
status review
evidence_strength moderate
newest_evidence 2021
generated by process:wiki-ingest on 2026-10-18
trust unverified — no one has confirmed this page's content
sources 1 — rolf-ploetzner-2021

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