Perils of Partialing: Can Scholars Predict Residualized Variables' Nomological Nets?

We found that, overall, experts were poor at predicting residualized correlations. Factors such as the intercorrelations among the variables and the magnitude of change in the variables' nomological nets following partialing impacted experts' accuracy. Suggestions regarding the use of this questionable measurement practice are discussed.

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Publication Details

Journal
Journal of Personality
Published
2025-12-04
DOI
https://doi.org/10.1111/jopy.70035
Citations
1
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
1.40
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article

Perils of Partialing: Can Scholars Predict Residualized Variables' Nomological Nets?

Donald R. Lynam, Joshua D. Miller, Leigha Rose
1 citations
Journal of Personality
Meta-analysis and systematic reviews
1.40
article

Perils of Partialing: Can Scholars Predict Residualized Variables' Nomological Nets?

Donald R. Lynam, Joshua D. Miller, Leigha Rose
article en
1 citations

Abstract

We found that, overall, experts were poor at predicting residualized correlations. Factors such as the intercorrelations among the variables and the magnitude of change in the variables' nomological nets following partialing impacted experts' accuracy. Suggestions regarding the use of this questionable measurement practice are discussed.

Journal of Personality
University of Georgia (US), Purdue University West Lafayette (US)
Openalex Percentile: Top 11%
Meta-analysis and systematic reviews
1.40
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