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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Katja Schueler, Jessica Fritz, Lena Dorfschmidt, Anne-Laura van Harmelen, Eike Stroemer, Michèle Wessa
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	resilience network analysis self-efficacy connectivity partial least squares regression Psychiatry RC435-571
Acceso en línea:	https://doaj.org/article/ccac508888b045348335d8e043ddcc55
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ccac508888b045348335d8e043ddcc55
record_format	dspace
spelling	oai:doaj.org-article:ccac508888b045348335d8e043ddcc552021-11-17T05:25:33ZPsychological Network Analysis of General Self-Efficacy in High vs. Low Resilient Functioning Healthy Adults1664-064010.3389/fpsyt.2021.736147https://doaj.org/article/ccac508888b045348335d8e043ddcc552021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpsyt.2021.736147/fullhttps://doaj.org/toc/1664-0640Resilience 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.Katja SchuelerKatja SchuelerJessica FritzLena DorfschmidtAnne-Laura van HarmelenEike StroemerMichèle WessaMichèle WessaFrontiers Media S.A.articleresiliencenetwork analysisself-efficacyconnectivitypartial least squares regressionPsychiatryRC435-571ENFrontiers in Psychiatry, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	resilience network analysis self-efficacy connectivity partial least squares regression Psychiatry RC435-571
spellingShingle	resilience network analysis self-efficacy connectivity partial least squares regression Psychiatry RC435-571 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
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.
format	article
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
title	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_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_sort	psychological network analysis of general self-efficacy in high vs. low resilient functioning healthy adults
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/ccac508888b045348335d8e043ddcc55
work_keys_str_mv	AT katjaschueler psychologicalnetworkanalysisofgeneralselfefficacyinhighvslowresilientfunctioninghealthyadults AT katjaschueler psychologicalnetworkanalysisofgeneralselfefficacyinhighvslowresilientfunctioninghealthyadults AT jessicafritz psychologicalnetworkanalysisofgeneralselfefficacyinhighvslowresilientfunctioninghealthyadults AT lenadorfschmidt psychologicalnetworkanalysisofgeneralselfefficacyinhighvslowresilientfunctioninghealthyadults AT annelauravanharmelen psychologicalnetworkanalysisofgeneralselfefficacyinhighvslowresilientfunctioninghealthyadults AT eikestroemer psychologicalnetworkanalysisofgeneralselfefficacyinhighvslowresilientfunctioninghealthyadults AT michelewessa psychologicalnetworkanalysisofgeneralselfefficacyinhighvslowresilientfunctioninghealthyadults AT michelewessa psychologicalnetworkanalysisofgeneralselfefficacyinhighvslowresilientfunctioninghealthyadults
_version_	1718425954346336256

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

Ejemplares similares