A principal component analysis of the new cognitive load questionnaire yields a 15-item, three-component solution explaining 74.3% of total variance¶
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Evidence · 1 study · designr2·q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person
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q2 i? In Study 1 (n = 69), parallel analysis indicated three components, and after removing two GCL items the final solution consisted of 15 items underlying three components explaining 74.3% of the total variance. → Krieglstein 2023
Evidence¶
Krieglstein 2023¶
Krieglstein, F., Beege, M., Rey, G. D., Sanchez-Stockhammer, C., & Schneider, S. (2023). Development and Validation of a Theory-Based Questionnaire to Measure Different Types of Cognitive Load. Educational Psychology Review. https://doi.org/10.1007/s10648-023-09738-0
q2 · i? · design · r2
Principal component analysis (Study 1) of the 17-item catalog with oblique rotation and parallel analysis, with 69 university students rating wastewater-treatment learning material. The final solution "consisted of 15 items underlying three components that explained 74.3% of the total vari- ance".
"The final solution con- sisted of 15 items underlying three components that explained 74.3% of the total vari- ance which is above the recommended value of 50% (Henson and Roberts, 2006)."
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
pca-three-component-15-item-cognitive-load-solution |
title |
A principal component analysis of the new cognitive load questionnaire yields a 15-item, three-component solution explaining 74.3% of total variance |
description |
A principal component analysis of the new cognitive load questionnaire yields a 15-item, three-component solution explaining 74.3% of total variance |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2023 |
generated |
by process:wiki-ingest on 2026-10-22 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — krieglstein-2023 |
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