Please use this identifier to cite or link to this item:
http://doi.org/10.25358/openscience-6839
Authors: | Schueler, Katja Fritz, Jessica Dorfschmidt, Lena Harmelen, Anne-Laura van Stroemer, Eike Wessa, Michèle |
Title: | Psychological network analysis of general self-efficacy in high vs. low resilient Functioning healthy adults |
Online publication date: | 24-Mar-2022 |
Year of first publication: | 2021 |
Language: | english |
Abstract: | 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. |
DDC: | 150 Psychologie 150 Psychology |
Institution: | Johannes Gutenberg-Universität Mainz |
Department: | FB 02 Sozialwiss., Medien u. Sport |
Place: | Mainz |
ROR: | https://ror.org/023b0x485 |
DOI: | http://doi.org/10.25358/openscience-6839 |
Version: | Published version |
Publication type: | Zeitschriftenaufsatz |
License: | CC BY |
Information on rights of use: | https://creativecommons.org/licenses/by/4.0/ |
Journal: | Frontiers in psychiatry 12 |
Pages or article number: | 736147 |
Publisher: | Frontiers Research Foundation |
Publisher place: | Lausanne |
Issue date: | 2021 |
ISSN: | 1664-0640 |
Publisher DOI: | 10.3389/fpsyt.2021.736147 |
Appears in collections: | JGU-Publikationen |
Files in This Item:
File | Description | Size | Format | ||
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psychological_network_analysi-20220322105718112.pdf | 666.16 kB | Adobe PDF | View/Open |