Claims

Regression analysis in iteration 1 identifies which skill sets significantly predict student assessment scores

Claim · All claims
Evidence · 1 study · design r3 · q2
Currency · newest study 2024 · 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? Multiple regression with student assessment scores as dependent variable identified statistically significant skill predictors via p-values in the pre and post surveys. → van den Berg 2024

Evidence

van den Berg 2024

van den Berg, C., & Bozalek, V. (2024). Design principles to develop digital innovation skills: a design-based research approach. Education Tech Research Dev, 72, 947–972. https://doi.org/10.1007/s11423-023-10308-y

q2 · i? · design · r3

Regression analysis in iteration 1 used "student assessment scores as the dependent variable to test the importance of the different skills"; Table 5 shows significant regression p-values for S4 post (0.047) and pre-values for S1 (0.050), with other skills not significant.

"The analysis helped to identify the skills that were statistically significant using the p-value to test the null hypothesis."

Discussion

Page metadata
Field Value
type claim
id regression-iteration1-skill-predictors
title Regression analysis in iteration 1 identifies which skill sets significantly predict student assessment scores
description Regression analysis in iteration 1 identifies which skill sets significantly predict student assessment scores
status review
evidence_strength weak
newest_evidence 2024
generated by process:wiki-ingest on 2026-10-28
trust unverified — no one has confirmed this page's content
sources 1 — van-den-berg-2024

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