In multiple regression, the percentage of exploratory experiments was the strongest predictor of performance success, negatively related to it¶
Claim · All claims
Evidence · 1 study (2 entries) · causalr2·q3
Currency · newest study 2009 · 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 i? A regression model with the efficiency measures accounted for 28.3% of variance in performance success, with exploratory experiments negatively related to success. → Ard W. Lazonder 2009
q3 i? In a stepwise regression, exploratory experiments was the only parameter with a significant impact on performance success. → Ard W. Lazonder 2009 (2)
Evidence¶
Ard W. Lazonder 2009¶
Ard W. Lazonder, Pascal Wilhelm, Emiel van Lieburg. (2009). Unraveling the influence of domain knowledge during simulation-based inquiry learning. Instr Sci, 37, 437-451. https://doi.org/10.1007/s11251-008-9055-8
q3 · i? · causal · r2
Multiple regression on the experiment's data (N = 56) predicting performance success from efficiency measures. Exploratory experiments carried a negative unstandardized coefficient (-.047), and hypothesis percentages positive coefficients (.078, .055, .073); R² values are variance explained, not effect sizes.
"Using the Enter method, a significant model emerged ( F(7,48) = 4.10, MSE = 5.85, p\ .01) that accounted for 28.3% of the variance in performance success."
Ard W. Lazonder 2009 (2)¶
Ard W. Lazonder, Pascal Wilhelm, Emiel van Lieburg. (2009). Unraveling the influence of domain knowledge during simulation-based inquiry learning. Instr Sci, 37, 437-451. https://doi.org/10.1007/s11251-008-9055-8
q3 · i? · causal · r2
Stepwise regression on the same data confirmed that the percentage of exploratory experiments was the only significant predictor, with the article reporting "Adjusted R2 = .223, b =- .487, p\ .001"; the article concludes that mere testing of hypotheses, regardless of specificity, was the strongest predictor.
"exploratory experiments was the only parameter in the model that had a significant impact on performance success scores (Adjusted R2 = .223, b =- .487, p\ .001)."
Discussion¶
Related Claims¶
- Concrete-task participants conducted a significantly lower percentage of exploratory experiments than intermediate-task participants, whose exploratory percentage matched the abstract condition
- Concrete-task participants achieved higher performance success than intermediate-task participants in simulation-based inquiry, while intermediate and abstract conditions did not differ significantly
- CVS skill is the strongest predictor of performing valid (unconfounded) experiments in simulation-based inquiry
- Cognitive factors explain about 49% of variance in simulation-based inquiry performance among young adults
- Learners have a strong natural tendency to induce a rationale from discovered relations, which can evoke erroneous hypotheses about undiscovered relations and reduce inquiry success — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
exploratory-experiments-negative-predictor-of-success |
title |
In multiple regression, the percentage of exploratory experiments was the strongest predictor of performance success, negatively related to it |
description |
In multiple regression, the percentage of exploratory experiments was the strongest predictor of performance success, negatively related to it |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2009 |
generated |
by process:wiki-ingest on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — ard-w-lazonder-2009, ard-w-lazonder-2009-2 |
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