Psychological Network Analysis of General Self-Efficacy in High vs. Low Resilient Functioning Healthy Adults

Frontiers in Psychiatry

Jessica Fritz²  Lena Dorfschmidt²  Anne-Laura van Harmelen³  Eike Stroemer⁴  Michèle Wessa⁴  Katja Schueler⁵ 

[1] Department of Clinical Psychology and Neuropsychology, Institute of Psychology, Johannes Gutenberg-University of Mainz, Mainz, Germany;Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom;Institute of Education and Child Studies, University of Leiden, Leiden, Netherlands;Leibniz Institute for Resilience Research Mainz, Mainz, Germany;Medical Informatics Group, University Hospital of Frankfurt, Frankfurt, Germany;

关键词: resilience;    network analysis;    self-efficacy;    connectivity;    partial least squares regression;   

DOI  :  10.3389/fpsyt.2021.736147

来源: DOAJ

【 摘 要 】

Resilience to stress has gained increasing interest by researchers from the field of mental health and illness and some recent studies have investigated resilience from a network perspective. General self-efficacy constitutes an important resilience factor. High levels of self-efficacy have shown to promote resilience by serving as a stress buffer. However, little is known about the role of network connectivity of self-efficacy in the context of stress resilience. The present study aims at filling this gap by using psychological network analysis to study self-efficacy and resilience. Based on individual resilient functioning scores, we divided a sample of 875 mentally healthy adults into a high and low resilient functioning group. To compute these scores, we applied a novel approach based on Partial Least Squares Regression on self-reported stress and mental health measures. Separately for both groups, we then estimated regularized partial correlation networks of a ten-item self-efficacy questionnaire. We compared three different global connectivity measures–strength, expected influence, and shortest path length–as well as absolute levels of self-efficacy between the groups. Our results supported our hypothesis that stronger network connectivity of self-efficacy would be present in the highly resilient functioning group compared to the low resilient functioning group. In addition, the former showed higher absolute levels of general self-efficacy. Future research could consider using partial least squares regression to quantify resilient functioning to stress and to study the association between network connectivity and resilient functioning in other resilience factors.

【 授权许可】

Unknown