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. We conclude by outlining several potential uses for this publicly available database of correlations.

摘要

自我调节的研究跨多个学科，包括人格、社会、认知、健康、发展和临床心理学；精神病学；神经科学；药物; 药理; 和经济学。对自我监管的广泛兴趣导致了对自我监管规范网络中的结构和用于评估这些结构的措施的混淆。为了促进自我调节跨学科测量的整合，我们估计了 60 个跨学科自我调节测量（23 个自我报告调查，37 个认知任务）与健康和物质使用测量之间的产品矩和距离相关性基于 522 名参与者。尽管调查显示出比认知任务更大的收敛效度，但相关性显示出很大的可变性。M = .049，范围 = .000 到 .271 的乘积矩相关性的绝对值；M = .085，距离相关的范围 = .028 到 .241），因此挑战了这些调查和认知任务测量相同结构的概念。最后，我们概述了这个公开可用的相关数据库的几种潜在用途。