Psychological Network Analysis of General Self-Efficacy in High vs. Low Resilient Functioning Healthy Adults
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...
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| Format: | Article |
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Frontiers Media S.A.
2021-11-01
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| Series: | Frontiers in Psychiatry |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyt.2021.736147/full |
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| author | Katja Schueler Katja Schueler Jessica Fritz Lena Dorfschmidt Anne-Laura van Harmelen Eike Stroemer Michèle Wessa Michèle Wessa |
| author_facet | Katja Schueler Katja Schueler Jessica Fritz Lena Dorfschmidt Anne-Laura van Harmelen Eike Stroemer Michèle Wessa Michèle Wessa |
| author_sort | Katja Schueler |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T09:23:29Z |
| format | Article |
| id | doaj.art-ccac508888b045348335d8e043ddcc55 |
| institution | Directory Open Access Journal |
| issn | 1664-0640 |
| language | English |
| last_indexed | 2024-12-14T09:23:29Z |
| publishDate | 2021-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Psychiatry |
| spelling | doaj.art-ccac508888b045348335d8e043ddcc552022-12-21T23:08:15ZengFrontiers Media S.A.Frontiers in Psychiatry1664-06402021-11-011210.3389/fpsyt.2021.736147736147Psychological Network Analysis of General Self-Efficacy in High vs. Low Resilient Functioning Healthy AdultsKatja Schueler0Katja Schueler1Jessica Fritz2Lena Dorfschmidt3Anne-Laura van Harmelen4Eike Stroemer5Michèle Wessa6Michèle Wessa7Department of Clinical Psychology and Neuropsychology, Institute of Psychology, Johannes Gutenberg-University of Mainz, Mainz, GermanyMedical Informatics Group, University Hospital of Frankfurt, Frankfurt, GermanyDepartment of Psychiatry, University of Cambridge, Cambridge, United KingdomDepartment of Psychiatry, University of Cambridge, Cambridge, United KingdomInstitute of Education and Child Studies, University of Leiden, Leiden, NetherlandsLeibniz Institute for Resilience Research Mainz, Mainz, GermanyDepartment of Clinical Psychology and Neuropsychology, Institute of Psychology, Johannes Gutenberg-University of Mainz, Mainz, GermanyLeibniz Institute for Resilience Research Mainz, Mainz, GermanyResilience 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.https://www.frontiersin.org/articles/10.3389/fpsyt.2021.736147/fullresiliencenetwork analysisself-efficacyconnectivitypartial least squares regression |
| spellingShingle | Katja Schueler Katja Schueler Jessica Fritz Lena Dorfschmidt Anne-Laura van Harmelen Eike Stroemer Michèle Wessa Michèle Wessa Psychological Network Analysis of General Self-Efficacy in High vs. Low Resilient Functioning Healthy Adults Frontiers in Psychiatry resilience network analysis self-efficacy connectivity partial least squares regression |
| title | Psychological Network Analysis of General Self-Efficacy in High vs. Low Resilient Functioning Healthy Adults |
| title_full | Psychological Network Analysis of General Self-Efficacy in High vs. Low Resilient Functioning Healthy Adults |
| title_fullStr | Psychological Network Analysis of General Self-Efficacy in High vs. Low Resilient Functioning Healthy Adults |
| title_full_unstemmed | Psychological Network Analysis of General Self-Efficacy in High vs. Low Resilient Functioning Healthy Adults |
| title_short | Psychological Network Analysis of General Self-Efficacy in High vs. Low Resilient Functioning Healthy Adults |
| title_sort | psychological network analysis of general self efficacy in high vs low resilient functioning healthy adults |
| topic | resilience network analysis self-efficacy connectivity partial least squares regression |
| url | https://www.frontiersin.org/articles/10.3389/fpsyt.2021.736147/full |
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