Researching multisystemic resilience : a sample methodology

dc.contributor.authorUngar, Michael
dc.contributor.authorTheron, Linda C.
dc.contributor.authorMurphy, Kathleen
dc.contributor.authorJefferies, Philip
dc.date.accessioned2021-09-06T07:17:21Z
dc.date.available2021-09-06T07:17:21Z
dc.date.issued2021-01
dc.description.abstractIn contexts of exposure to atypical stress or adversity, individual and collective resilience refers to the process of sustaining wellbeing by leveraging biological, psychological, social and environmental protective and promotive factors and processes (PPFPs). This multisystemic understanding of resilience is generating significant interest but has been difficult to operationalize in psychological research where studies tend to address only one or two systems at a time, often with a primary focus on individual coping strategies. We show how multiple systems implicated in human resilience can be researched in the same study using a longitudinal, six-phase transformative sequential mixed methods study of 14- to 24-year-olds and their elders in two communities dependent on oil and gas industries (Drayton Valley, Canada, and Secunda/eMbalenhle, South Africa). Data collection occurred over a 5-year period, and included: (1) community engagement and the identification of youth health and well-being priorities; (2) participatory youth-centric qualitative research using one-on-one semi-structured interviews and arts-based methods; (3) survey of 500 youth at three time points to assess psychosocial health indicators and outcomes; (4) collection of hair samples to assess stress biomarkers (cortisol and dehydroepiandrosterone-DHEA) over time; (5) youth-led ecological data collection and assessment of historical socio-economic development data; and (6) community resource mapping with community elders. Analyzing data from these multiple systems will allow us to understand the interrelationship and impact of PPFPs within and across systems. To date, we have undertaken thematic and narrative qualitative analyses, and descriptive analyses of the preliminary ecological and survey data. As we proceed, we will combine these and grounded theory approaches with innovative techniques such as latent transition analysis and network analysis, as well as modeling of economic conditions and spatial analysis of human geographies to understand patterns of PPFPs and their inter-relationships. By analyzing the complexity of data collected across systems (including cultural contexts) we are demonstrating the possibility of conducting multisystemic resilience research which expands the way psychological research accounts for positive development under stress in different contexts. This comprehensive examination of resilience may offer an example of how the study of resilience can inform socially and contextually relevant interventions and policies.en_ZA
dc.description.departmentEducational Psychologyen_ZA
dc.description.librarianhj2021en_ZA
dc.description.sponsorshipThe Canadian Institutes of Health Research (CIHR)en_ZA
dc.description.urihttp://www.frontiersin.org/Psychologyen_ZA
dc.identifier.citationUngar M, Theron L, Murphy K and Jefferies P (2021) Researching Multisystemic Resilience: A Sample Methodology. Frontiers in Psychology 11:607994. doi: 10.3389/fpsyg.2020.607994.en_ZA
dc.identifier.issn1664-1078 (online)
dc.identifier.other10.3389/fpsyg.2020.607994
dc.identifier.urihttp://hdl.handle.net/2263/81643
dc.language.isoenen_ZA
dc.publisherFrontiers Mediaen_ZA
dc.rights© 2020 Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).en_ZA
dc.subjectProtective and promotive factors and processes (PPFPs)en_ZA
dc.subjectResilienceen_ZA
dc.subjectMultisystemic resilienceen_ZA
dc.subjectMethodologyen_ZA
dc.titleResearching multisystemic resilience : a sample methodologyen_ZA
dc.typeArticleen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Ungar_Researching_2021.pdf
Size:
2.8 MB
Format:
Adobe Portable Document Format
Description:
Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: