Claims

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) · causal r2 · 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

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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