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Examining the Interplay of Processes Across Multiple Time-Scales: Illustration With the Intraindividual Study of Affect, Health, and Interpersonal Behavior (iSAHIB).审视多时间尺度上各过程的相互作用:以情感、健康和人际行为的个体内研究(iSAHIB)为例
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Interpersonal Perceptions of the Five-Factor Model of Personality: An Examination Using the Structural Summary Method for Circumplex Data.人格五因素模型的人际感知:使用环形数据结构总结法的检验
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A Lot Can Happen in a Few Minutes: Examining Dynamic Patterns Within an Interaction to Illuminate the Interpersonal Nature of Personality Disorders.几分钟内会发生很多事:审视互动中的动态模式以阐明人格障碍的人际本质。
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Connecting Personality Structure and Dynamics: Towards a More Evidence-Based and Clinically Useful Diagnostic Scheme.连接人格结构与动力学:迈向更具循证性且临床实用的诊断方案。
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Behavior Genetics and the Within-Person Variability of Daily Interpersonal Styles: The Heritability of Flux, Spin and Pulse.行为遗传学与日常人际风格的个体内变异性:变化率、倾向性和脉动性的遗传力。
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Negative affect, interpersonal perception, and binge eating behavior: An experience sampling study.负性情绪、人际知觉与暴食行为:一项体验抽样研究。
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行为景观与推土机距离:一种研究密度分布个体差异的新方法。

Behavioral Landscapes and Earth Mover's Distance: A New Approach for Studying Individual Differences in Density Distributions.

作者信息

Ram Nilam, Benson Lizbeth, Brick Timothy R, Conroy David E, Pincus Aaron L

机构信息

Pennsylvania State University.

German Institute for Economic Research (DIW), Berlin.

出版信息

J Res Pers. 2017 Aug;69:191-205. doi: 10.1016/j.jrp.2016.06.010. Epub 2016 Jun 6.

DOI:10.1016/j.jrp.2016.06.010
PMID:28959082
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5612642/
Abstract

Contemporary views of personality highlight intraindividual variability. We forward a general method for quantifying individual differences in behavioral tendencies based on Earth Mover's Distance. Using data from 150 individuals who reported on their and others' interpersonal behavior in 64,112 social interactions, we illustrate how this new approach can advance notions of personality as density distributions. Results provide independent confirmation and establish validity of existing representations of individual differences in interpersonal behavior, and identify new dimensions and profiles of personality and well-being. Benefits of the EMD method include freedom from assumptions about the shape and form of density distributions, generality of application to n-dimensional behavior captured in experience sampling studies, and natural integration of personality structure and dynamics.

摘要

当代人格观点强调个体内部的变异性。我们提出了一种基于推土机距离来量化行为倾向个体差异的通用方法。利用来自150个人的数据,他们报告了自己和他人在64112次社交互动中的人际行为,我们展示了这种新方法如何推进将人格视为密度分布的概念。结果提供了独立的验证,并确立了人际行为个体差异现有表征的有效性,还识别出了人格和幸福感的新维度及特征。推土机距离(EMD)方法的优点包括无需对密度分布的形状和形式做假设、可普遍应用于经验抽样研究中捕获的n维行为,以及能自然地整合人格结构和动态变化。