Regression analysis in iteration 1 identifies which skill sets significantly predict student assessment scores¶
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Evidence · 1 study · designr3·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
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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¶
Related Claims¶
- ANOVA in iteration 1 shows statistically significant pre-to-post differences for seven of eight skill sets, with cultural competency not significant — related
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- Achieve3000 usage predicted about 3.5 percent of current Lexile scores after controlling for pre-test Lexile, motivation, and age — related
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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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