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http://doi.org/10.25358/openscience-6839Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Schueler, Katja | - |
| dc.contributor.author | Fritz, Jessica | - |
| dc.contributor.author | Dorfschmidt, Lena | - |
| dc.contributor.author | Harmelen, Anne-Laura van | - |
| dc.contributor.author | Stroemer, Eike | - |
| dc.contributor.author | Wessa, Michèle | - |
| dc.date.accessioned | 2022-03-24T10:50:05Z | - |
| dc.date.available | 2022-03-24T10:50:05Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.uri | https://openscience.ub.uni-mainz.de/handle/20.500.12030/6850 | - |
| dc.description.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. | en_GB |
| dc.description.sponsorship | Open Access-Publizieren Universität Mainz / Universitätsmedizin Mainz | de |
| dc.language.iso | eng | de |
| dc.rights | CC BY | * |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject.ddc | 150 Psychologie | de_DE |
| dc.subject.ddc | 150 Psychology | en_GB |
| dc.title | Psychological network analysis of general self-efficacy in high vs. low resilient Functioning healthy adults | en_GB |
| dc.type | Zeitschriftenaufsatz | de |
| dc.identifier.doi | http://doi.org/10.25358/openscience-6839 | - |
| jgu.type.dinitype | article | en_GB |
| jgu.type.version | Published version | de |
| jgu.type.resource | Text | de |
| jgu.organisation.department | FB 02 Sozialwiss., Medien u. Sport | de |
| jgu.organisation.number | 7910 | - |
| jgu.organisation.name | Johannes Gutenberg-Universität Mainz | - |
| jgu.rights.accessrights | openAccess | - |
| jgu.journal.title | Frontiers in psychiatry | de |
| jgu.journal.volume | 12 | de |
| jgu.pages.alternative | 736147 | de |
| jgu.publisher.year | 2021 | - |
| jgu.publisher.name | Frontiers Research Foundation | de |
| jgu.publisher.place | Lausanne | de |
| jgu.publisher.issn | 1664-0640 | de |
| jgu.organisation.place | Mainz | - |
| jgu.subject.ddccode | 150 | de |
| jgu.publisher.doi | 10.3389/fpsyt.2021.736147 | de |
| jgu.organisation.ror | https://ror.org/023b0x485 | |
| Appears in collections: | JGU-Publikationen | |
Files in This Item:
| File | Description | Size | Format | ||
|---|---|---|---|---|---|
 | psychological_network_analysi-20220322105718112.pdf | 666.16 kB | Adobe PDF | View/Open |