State of the aRt personality research: A tutorial on network analysis of personality data in R

被引：689

作者：

Costantini, Giulio ^{[1
]}

Epskamp, Sacha ^{[2
]}

Borsboom, Denny ^{[2
]}

Perugini, Marco ^{[1
]}

Mottus, Rene ^{[3
,4
]}

Waldorp, Lourens J. ^{[2
]}

Cramer, Angelique O. J. ^{[2
]}

机构：

[1] Univ Milano Bicocca, Dept Psychol, I-20126 Milan, Italy

[2] Univ Amsterdam, Dept Psychol Methods, NL-1018 XA Amsterdam, Netherlands

[3] Univ Edinburgh, Dept Psychol, Edinburgh EH8 9JZ, Midlothian, Scotland

[4] Univ Tartu, Dept Psychol, EE-50409 Tartu, Estonia

来源：

JOURNAL OF RESEARCH IN PERSONALITY | 2015年 / 54卷

关键词：

Network analysis; Psychometrics; Latent variables; Centrality; Clustering; Personality traits; HEXACO; GRAPHICAL MODEL SELECTION; COVARIANCE ESTIMATION; WEIGHTED NETWORKS; COMPLEX NETWORKS; ADAPTIVE LASSO; CENTRALITY; TRAITS; ARCHITECTURE; ASSOCIATION; MULTIMETHOD;

D O I：

10.1016/j.jrp.2014.07.003

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

Network analysis represents a novel theoretical approach to personality. Network approaches motivate alternative ways of analyzing data, and suggest new ways of modeling and simulating personality processes. In the present paper, we provide an overview of network analysis strategies as they apply to personality data. We discuss different ways to construct networks from typical personality data, show how to compute and interpret important measures of centrality and clustering, and illustrate how one can simulate on networks to mimic personality processes. All analyses are illustrated using a data set on the commonly used HEXACO questionnaire using elementary R-code that readers may easily adapt to apply to their own data. (C) 2014 Elsevier Inc. All rights reserved.

引用

页码：13 / 29

页数：17

共 106 条

[1]

[Anonymous], 2010, PROBABILITY GRAPHS R

[2]

[Anonymous], 2011, ARXIV PREPRINT ARXIV, DOI DOI 10.1038/SREP05918

[3] A defence of the lexical approach to the study of personality structure [J].

Ashton, MC ;

Lee, K .

EUROPEAN JOURNAL OF PERSONALITY, 2005, 19 (01) :5-24

[4] Empirical, theoretical, and practical advantages of the HEXACO model of personality structure [J].

Ashton, Michael C. ;

Lee, Kibeom .

PERSONALITY AND SOCIAL PSYCHOLOGY REVIEW, 2007, 11 (02) :150-166

[5] The HEXACO-60: A Short Measure of the Major Dimensions of Personality [J].

Ashton, Michael C. ;

Lee, Kibeom .

JOURNAL OF PERSONALITY ASSESSMENT, 2009, 91 (04) :340-345

[6] Scale-free networks [J].

Barabási, AL ;

Bonabeau, E .

SCIENTIFIC AMERICAN, 2003, 288 (05) :60-69

[7] The architecture of complex weighted networks [J].

Barrat, A ;

Barthélemy, M ;

Pastor-Satorras, R ;

Vespignani, A .

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (11) :3747-3752

[8] Complex networks: Structure and dynamics [J].

Boccaletti, S. ;

Latora, V. ;

Moreno, Y. ;

Chavez, M. ;

Hwang, D. -U. .

PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2006, 424 (4-5) :175-308

[9] FACTORING AND WEIGHTING APPROACHES TO STATUS SCORES AND CLIQUE IDENTIFICATION [J].

BONACICH, P .

JOURNAL OF MATHEMATICAL SOCIOLOGY, 1972, 2 (01) :113-120

[10]

BONACICH P, 1987, AM J SOCIOL, V92, P1170, DOI 10.1086/228631

← 1 2 3 4 5 6 7 8 9 10 →