The general factor of personality as ego-resiliency

Curtis S. Dunkel, Dimitri van der Linden*, Tetsuya Kawamoto, Atsushi Oshio

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)
44 Downloads (Pure)

Abstract

It was originally hypothesized by Block that what has come to be known as the General Factor of Personality (GFP) reflects ego-resiliency. We test Block’s hypothesis in two studies. In Study 1 a meta-analysis (N = 15,609) examining the relationship between the GFP and ego-resiliency/resilience was conducted. In Study 2 (N = 157) archival data from Block and Block was used to examine the association between rater judged ego-resiliency across childhood, adolescence, and into early adulthood and the GFP based on self-report in early adulthood. Using structural equation modeling for the meta-analytic data, the correlation between the GFP and ego-resiliency/resilience was estimated at r = 0.93. Using a trait-state occasion model to test the hypothesis in Study 2, the correlation between the GFP and rated ego-resiliency was estimated at r = 0.85. The results of the two studies offer substantial support for Block’s original hypothesis. Given the strength of the associations between the GFP and ego-resiliency/resilience one may conclude that the two constructs largely reflect the same underlying phenomenon.

Original languageEnglish
Article number741462
Pages (from-to)741462
JournalFrontiers in Psychology
Volume12
DOIs
Publication statusPublished - 22 Nov 2021

Bibliographical note

Funding Information:
This project was made possible by the Henry A. Murray Research Archive which is housed by the Institute for Quantitative Social Science at Harvard University. The data employed in this study derive from a 30-year longitudinal study begun with 128 3-year-old girls and boys, planned and conducted by Jack and Jeanne H. Block, involving a sequence of 9 independent assessments based on personality and cognitive Life, Observational, Test, and Self-report (LOTS) measures.

Publisher Copyright:
Copyright © 2021 Dunkel, van der Linden, Kawamoto and Oshio.

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