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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Veröffentlicht in: | Journal of personality assessment 2021-03, Vol.103 (2), p.238-245 |
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creator | 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. |
description | 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. |
doi_str_mv | 10.1080/00223891.2020.1732994 |
format | Article |
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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.</creator><creatorcontrib>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.</creatorcontrib><description>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.</description><identifier>ISSN: 0022-3891</identifier><identifier>EISSN: 1532-7752</identifier><identifier>DOI: 10.1080/00223891.2020.1732994</identifier><identifier>PMID: 32148088</identifier><language>eng</language><publisher>England: Routledge</publisher><subject>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</subject><ispartof>Journal of personality assessment, 2021-03, Vol.103 (2), p.238-245</ispartof><rights>2020 Taylor & Francis Group, LLC 2020</rights><rights>2020 Taylor & Francis Group, LLC</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c496t-a5482425613032cbccc2e9c8fea8d59cd72ffda15e1eb6d78d646ab04949f1273</citedby><cites>FETCH-LOGICAL-c496t-a5482425613032cbccc2e9c8fea8d59cd72ffda15e1eb6d78d646ab04949f1273</cites><orcidid>0000-0002-2501-6469 ; 0000-0001-7865-4096 ; 0000-0002-5305-6193 ; 0000-0003-0866-6010 ; 0000-0002-6405-162X ; 0000-0002-6166-4455</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925,30999</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32148088$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mazza, Gina L.</creatorcontrib><creatorcontrib>Smyth, Heather L.</creatorcontrib><creatorcontrib>Bissett, Patrick G.</creatorcontrib><creatorcontrib>Canning, Jessica R.</creatorcontrib><creatorcontrib>Eisenberg, Ian W.</creatorcontrib><creatorcontrib>Enkavi, A. Zeynep</creatorcontrib><creatorcontrib>Gonzalez, Oscar</creatorcontrib><creatorcontrib>Kim, Sunny Jung</creatorcontrib><creatorcontrib>Metcalf, Stephen A.</creatorcontrib><creatorcontrib>Muniz, Felix</creatorcontrib><creatorcontrib>Pelham, William E.</creatorcontrib><creatorcontrib>Scherer, Emily A.</creatorcontrib><creatorcontrib>Valente, Matthew J.</creatorcontrib><creatorcontrib>Xie, Haiyi</creatorcontrib><creatorcontrib>Poldrack, Russell A.</creatorcontrib><creatorcontrib>Marsch, Lisa A.</creatorcontrib><creatorcontrib>MacKinnon, David P.</creatorcontrib><title>Correlation Database of 60 Cross-Disciplinary Surveys and Cognitive Tasks Assessing Self-Regulation</title><title>Journal of personality assessment</title><addtitle>J Pers Assess</addtitle><description>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.</description><subject>Adult</subject><subject>Clinical psychology</subject><subject>Cognition</subject><subject>Cognitive tasks</subject><subject>Confusion</subject><subject>Convergent validity</subject><subject>Developmental psychology</subject><subject>Female</subject><subject>Health psychology</subject><subject>Humans</subject><subject>Interdisciplinary aspects</subject><subject>Male</subject><subject>Personality</subject><subject>Pharmacology</subject><subject>Polls & surveys</subject><subject>Psychiatry</subject><subject>Psychometrics</subject><subject>Reproducibility of Results</subject><subject>Self Concept</subject><subject>Self Report</subject><subject>Self-Control</subject><subject>Substance abuse</subject><subject>Substance-Related Disorders - psychology</subject><subject>Surveys and Questionnaires</subject><issn>0022-3891</issn><issn>1532-7752</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNp9kV1vFCEYhYnR2LX6EzQk3vRmKp8zcGNspraaNDGx9ZowDKxUFlaYWbP_Xia7bdQLr0jgeQ_nvAeA1xidYyTQO4QIoULic4JIveookZI9ASvMKWm6jpOnYLUwzQKdgBel3COEMGbkOTihBDOBhFgB06ecbdCTTxFe6kkPuliYHGwR7HMqpbn0xfht8FHnPbyd887uC9RxhH1aRz_5nYV3uvwo8KIUW4qPa3hrg2u-2vV80H0Jnjkdin11PE_Bt6uPd_2n5ubL9ef-4qYxTLZTozkThBHeYoooMYMxhlhphLNajFyasSPOjRpzi-3Qjp0YW9bqATHJpMOko6fg_UF3Ow8bOxobp6yD2ma_qd5V0l79_RL9d7VOO9UxQTmVVeDsKJDTz9mWSW1qeBuCjjbNRRHacY7rvnFF3_6D3qc5xxpPESYxY1SKxRE_UGZZZbbu0QxGaqlRPdSolhrVscY69-bPJI9TD71V4MMB8NGlvNG_Ug6jmvQ-pOyyjsYXRf__x2_JSq1T</recordid><startdate>20210304</startdate><enddate>20210304</enddate><creator>Mazza, Gina L.</creator><creator>Smyth, Heather L.</creator><creator>Bissett, Patrick G.</creator><creator>Canning, Jessica R.</creator><creator>Eisenberg, Ian W.</creator><creator>Enkavi, A. Zeynep</creator><creator>Gonzalez, Oscar</creator><creator>Kim, Sunny Jung</creator><creator>Metcalf, Stephen A.</creator><creator>Muniz, Felix</creator><creator>Pelham, William E.</creator><creator>Scherer, Emily A.</creator><creator>Valente, Matthew J.</creator><creator>Xie, Haiyi</creator><creator>Poldrack, Russell A.</creator><creator>Marsch, Lisa A.</creator><creator>MacKinnon, David P.</creator><general>Routledge</general><general>Routledge, Taylor & Francis Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-2501-6469</orcidid><orcidid>https://orcid.org/0000-0001-7865-4096</orcidid><orcidid>https://orcid.org/0000-0002-5305-6193</orcidid><orcidid>https://orcid.org/0000-0003-0866-6010</orcidid><orcidid>https://orcid.org/0000-0002-6405-162X</orcidid><orcidid>https://orcid.org/0000-0002-6166-4455</orcidid></search><sort><creationdate>20210304</creationdate><title>Correlation Database of 60 Cross-Disciplinary Surveys and Cognitive Tasks Assessing Self-Regulation</title><author>Mazza, Gina L. ; Smyth, Heather L. ; Bissett, Patrick G. ; Canning, Jessica R. ; Eisenberg, Ian W. ; Enkavi, A. 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Zeynep</au><au>Gonzalez, Oscar</au><au>Kim, Sunny Jung</au><au>Metcalf, Stephen A.</au><au>Muniz, Felix</au><au>Pelham, William E.</au><au>Scherer, Emily A.</au><au>Valente, Matthew J.</au><au>Xie, Haiyi</au><au>Poldrack, Russell A.</au><au>Marsch, Lisa A.</au><au>MacKinnon, David P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlation Database of 60 Cross-Disciplinary Surveys and Cognitive Tasks Assessing Self-Regulation</atitle><jtitle>Journal of personality assessment</jtitle><addtitle>J Pers Assess</addtitle><date>2021-03-04</date><risdate>2021</risdate><volume>103</volume><issue>2</issue><spage>238</spage><epage>245</epage><pages>238-245</pages><issn>0022-3891</issn><eissn>1532-7752</eissn><abstract>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. 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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 |
title | Correlation Database of 60 Cross-Disciplinary Surveys and Cognitive Tasks Assessing Self-Regulation |
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