Network analysis of Contingencies of Self-Worth Scale in 680 university students

Autor: Eiko I. Fried, Giovanni Briganti, Paul Linkowski
Rok vydání: 2019
Předmět:
Adult
Male
Adolescent
Psychometrics
Universities
media_common.quotation_subject
Family support
Sample (statistics)
PsyArXiv|Social and Behavioral Sciences|Clinical Psychology
Competition (economics)
Young Adult
03 medical and health sciences
bepress|Social and Behavioral Sciences|Psychology|Clinical Psychology
0302 clinical medicine
bepress|Medicine and Health Sciences|Medical Specialties|Psychiatry
Humans
Personality
network analysis
Biological Psychiatry
media_common
Spatial Analysis
students
Node (networking)
PsyArXiv|Social and Behavioral Sciences|Clinical Psychology|Assessment
self-worth
Variance (accounting)
Self Concept
030227 psychiatry
PsyArXiv|Social and Behavioral Sciences
Psychiatry and Mental health
PsyArXiv|Psychiatry
personality
Data Interpretation
Statistical
Scale (social sciences)
bepress|Social and Behavioral Sciences
Female
Psychology
Social psychology
030217 neurology & neurosurgery
Network analysis
Zdroj: Psychiatry Research
Psychiatry Research, 272, 252-257
ISSN: 0165-1781
DOI: 10.1016/j.psychres.2018.12.080
Popis: This study investigates the Contingencies of Self-Worth Scale (CSWS) in a sample of 680 university students from a network perspective. We estimated regularized partial correlations among seven CSWS domains: family support, competition, appearance, God's love, academic competence, virtue and other's approval. Competition – academic competence and competition – appearance represent the strongest connections in the network. Mean node predictability (shared variance with surrounding nodes) is 0.25. Appearance and academic competence were the most central (i.e., interconnected) domains in the network. Future studies should explore the network structure of self-worth in other healthy adult samples, and also in people with psychopathology. We provide the anonymized dataset as well as the full code in the supplementary materials to ensure complete reproducibility of the results.
Databáze: OpenAIRE
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