Correlation Database of 60 Cross-Disciplinary Surveys and Cognitive Tasks Assessing Self-Regulation

Self-regulation is studied across various disciplines, including personality, social, cognitive, health, developmental, and clinical psychology; psychiatry; neuroscience; medicine; pharmacology; and economics. Widespread interest in self-regulation has led to confusion regarding both the constructs...

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Bibliographic Details
Published in:Journal of personality assessment 2021-03, Vol.103 (2), p.238-245
Main Authors: Mazza, Gina L., Smyth, Heather L., Bissett, Patrick G., Canning, Jessica R., Eisenberg, Ian W., Enkavi, A. Zeynep, Gonzalez, Oscar, Kim, Sunny Jung, Metcalf, Stephen A., Muniz, Felix, Pelham, William E., Scherer, Emily A., Valente, Matthew J., Xie, Haiyi, Poldrack, Russell A., Marsch, Lisa A., MacKinnon, David P.
Format: Article
Language:English
Subjects:
Adult
Clinical psychology
Cognition
Cognitive tasks
Confusion
Convergent validity
Developmental psychology
Female
Health psychology
Humans
Interdisciplinary aspects
Male
Personality
Pharmacology
Polls & surveys
Psychiatry
Psychometrics
Reproducibility of Results
Self Concept
Self Report
Self-Control
Substance abuse
Substance-Related Disorders - psychology
Surveys and Questionnaires
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Summary:Self-regulation is studied across various disciplines, including personality, social, cognitive, health, developmental, and clinical psychology; psychiatry; neuroscience; medicine; pharmacology; and economics. Widespread interest in self-regulation has led to confusion regarding both the constructs within the nomological network of self-regulation and the measures used to assess these constructs. To facilitate the integration of cross-disciplinary measures of self-regulation, we estimated product-moment and distance correlations among 60 cross-disciplinary measures of self-regulation (23 self-report surveys, 37 cognitive tasks) and measures of health and substance use based on 522 participants. The correlations showed substantial variability, though the surveys demonstrated greater convergent validity than did the cognitive tasks. Variables derived from the surveys only weakly correlated with variables derived from the cognitive tasks (M = .049, range = .000 to .271 for the absolute value of the product-moment correlation; M = .085, range = .028 to .241 for the distance correlation), thus challenging the notion that these surveys and cognitive tasks measure the same construct. We conclude by outlining several potential uses for this publicly available database of correlations.
ISSN:0022-3891
1532-7752
DOI:10.1080/00223891.2020.1732994