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

Variables with intercorrelations of varying magnitudes (i.e., anxiety, depression, antisocial personality disorder, and borderline personality disorder) will be used to test whether experts can estimate partialed variables' nomological networks vis-à-vis basic trait profiles. Experts' estimates will be compared to obtained partialed trait profiles via macro (overall profile similarity) and more micro (individual trait comparisons) approaches.

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Publication Details

Journal
Journal of Personality
Published
2025-04-07
DOI
https://doi.org/10.1111/jopy.13024
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Donald R. Lynam, Joshua D. Miller, Leigha Rose
Journal of Personality
Mental Health Research Topics
article

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

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

Abstract

Variables with intercorrelations of varying magnitudes (i.e., anxiety, depression, antisocial personality disorder, and borderline personality disorder) will be used to test whether experts can estimate partialed variables' nomological networks vis-à-vis basic trait profiles. Experts' estimates will be compared to obtained partialed trait profiles via macro (overall profile similarity) and more micro (individual trait comparisons) approaches.

Journal of PersonalityVol. 94(2)
University of Georgia (US), Purdue University West Lafayette (US)
Reduced inequalities
Openalex Percentile: Top 93%
Mental Health Research Topics
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