Cargando…
Assessing perceptions of resilience: The understanding from network analysis
INTRODUCTION: Previous studies have yet to reach a consensus on the construct of resilience perception, and how to enhance the effect of resilience intervention remains an urgent issue. In this consideration, this study examines the fundamental construct of resilience. It provides insight into the c...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895415/ https://www.ncbi.nlm.nih.gov/pubmed/36741960 http://dx.doi.org/10.3389/fpubh.2023.1017871 |
_version_ | 1784881903376007168 |
---|---|
author | Liu, Rong Duan, Wenjie |
author_facet | Liu, Rong Duan, Wenjie |
author_sort | Liu, Rong |
collection | PubMed |
description | INTRODUCTION: Previous studies have yet to reach a consensus on the construct of resilience perception, and how to enhance the effect of resilience intervention remains an urgent issue. In this consideration, this study examines the fundamental construct of resilience. It provides insight into the critical prevention goal for resilience intervention by utilizing the latest methods of psychological network analysis. METHODS: The sample is the graduate students enrolled in September 2021. Participants completed (1) the Connor-Davidson Resilience Scale, (2) the University of Washington Resilience Scale-8 Item, (3) the Brief Resilience Scale, and (4) the Resilience Scale for Adults, each representing different orientations of resilience. RESULTS: The network analysis grants greater clarity to the resilience perception as a dynamic system that interacts between an individual's tendency to intrinsic capacity and response to external resources. This study has shown that a positive perception of external social resources is the most important for individuals' resilience cognition; the effect of resilience intervention can be achieved more quickly by changing the individual's sense of hope. DISCUSSION: Based on the results, a psychometric instrument that integrates different orientations of resilience concepts and is based on time-varying needs to be developed. |
format | Online Article Text |
id | pubmed-9895415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98954152023-02-04 Assessing perceptions of resilience: The understanding from network analysis Liu, Rong Duan, Wenjie Front Public Health Public Health INTRODUCTION: Previous studies have yet to reach a consensus on the construct of resilience perception, and how to enhance the effect of resilience intervention remains an urgent issue. In this consideration, this study examines the fundamental construct of resilience. It provides insight into the critical prevention goal for resilience intervention by utilizing the latest methods of psychological network analysis. METHODS: The sample is the graduate students enrolled in September 2021. Participants completed (1) the Connor-Davidson Resilience Scale, (2) the University of Washington Resilience Scale-8 Item, (3) the Brief Resilience Scale, and (4) the Resilience Scale for Adults, each representing different orientations of resilience. RESULTS: The network analysis grants greater clarity to the resilience perception as a dynamic system that interacts between an individual's tendency to intrinsic capacity and response to external resources. This study has shown that a positive perception of external social resources is the most important for individuals' resilience cognition; the effect of resilience intervention can be achieved more quickly by changing the individual's sense of hope. DISCUSSION: Based on the results, a psychometric instrument that integrates different orientations of resilience concepts and is based on time-varying needs to be developed. Frontiers Media S.A. 2023-01-20 /pmc/articles/PMC9895415/ /pubmed/36741960 http://dx.doi.org/10.3389/fpubh.2023.1017871 Text en Copyright © 2023 Liu and Duan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Liu, Rong Duan, Wenjie Assessing perceptions of resilience: The understanding from network analysis |
title | Assessing perceptions of resilience: The understanding from network analysis |
title_full | Assessing perceptions of resilience: The understanding from network analysis |
title_fullStr | Assessing perceptions of resilience: The understanding from network analysis |
title_full_unstemmed | Assessing perceptions of resilience: The understanding from network analysis |
title_short | Assessing perceptions of resilience: The understanding from network analysis |
title_sort | assessing perceptions of resilience: the understanding from network analysis |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895415/ https://www.ncbi.nlm.nih.gov/pubmed/36741960 http://dx.doi.org/10.3389/fpubh.2023.1017871 |
work_keys_str_mv | AT liurong assessingperceptionsofresiliencetheunderstandingfromnetworkanalysis AT duanwenjie assessingperceptionsofresiliencetheunderstandingfromnetworkanalysis |