Conceptualising and operationalising resilience in older adults
Context: As a result of increases in life expectancy and decreases in fertility, the proportion of the population entering later life has increased dramatically in recent decades. When faced with age-related challenges, some older adults respond more positively to adversity than would be expected gi...
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doaj-7a6c3b3e104a4d6b8c0d1e25c69eb6c62020-11-25T02:33:49ZengTaylor & Francis GroupHealth Psychology and Behavioral Medicine2164-28502019-01-01719010410.1080/21642850.2019.15938451593845Conceptualising and operationalising resilience in older adultsTheodore D Cosco0Almar Kok1Andrew Wister2Kenneth Howse3Simon Fraser UniversityVU University Medical CenterSimon Fraser UniversityOxford UniversityContext: As a result of increases in life expectancy and decreases in fertility, the proportion of the population entering later life has increased dramatically in recent decades. When faced with age-related challenges, some older adults respond more positively to adversity than would be expected given the level of adversity that they have experienced, demonstrating ‘resilience’. Objectives: Having a clear conceptual framework for resilience is a prerequisite to operationalising resilience in a research context. Methods: Here we compare and contrast several approaches to the operationalisation of resilience: psychometric-driven and data-driven (variable-centred and individual-centred) methods. Results: Psychometric-driven methods involve the administration of established questionnaires aimed at quantifying resilience. Data-driven techniques use statistical procedures to examine and/or operationalise resilience and can be broadly categorised into variable-centred methods, i.e. interaction and residuals, and individual-centred methods, i.e. categorical and latent class. Conclusions: The specific question(s) driving the research and the nature of the variables a researcher intends to use in their adversity-outcome dyad will largely dictate which methods are more (or less) appropriate in that circumstance. A measured approach to the ways in which resilience is investigated is warranted in order to facilitate the most useful application of this burgeoning field of research.http://dx.doi.org/10.1080/21642850.2019.1593845resilienceconceptualisationoperationalisationolder adultsmethods |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Theodore D Cosco Almar Kok Andrew Wister Kenneth Howse |
spellingShingle |
Theodore D Cosco Almar Kok Andrew Wister Kenneth Howse Conceptualising and operationalising resilience in older adults Health Psychology and Behavioral Medicine resilience conceptualisation operationalisation older adults methods |
author_facet |
Theodore D Cosco Almar Kok Andrew Wister Kenneth Howse |
author_sort |
Theodore D Cosco |
title |
Conceptualising and operationalising resilience in older adults |
title_short |
Conceptualising and operationalising resilience in older adults |
title_full |
Conceptualising and operationalising resilience in older adults |
title_fullStr |
Conceptualising and operationalising resilience in older adults |
title_full_unstemmed |
Conceptualising and operationalising resilience in older adults |
title_sort |
conceptualising and operationalising resilience in older adults |
publisher |
Taylor & Francis Group |
series |
Health Psychology and Behavioral Medicine |
issn |
2164-2850 |
publishDate |
2019-01-01 |
description |
Context: As a result of increases in life expectancy and decreases in fertility, the proportion of the population entering later life has increased dramatically in recent decades. When faced with age-related challenges, some older adults respond more positively to adversity than would be expected given the level of adversity that they have experienced, demonstrating ‘resilience’. Objectives: Having a clear conceptual framework for resilience is a prerequisite to operationalising resilience in a research context. Methods: Here we compare and contrast several approaches to the operationalisation of resilience: psychometric-driven and data-driven (variable-centred and individual-centred) methods. Results: Psychometric-driven methods involve the administration of established questionnaires aimed at quantifying resilience. Data-driven techniques use statistical procedures to examine and/or operationalise resilience and can be broadly categorised into variable-centred methods, i.e. interaction and residuals, and individual-centred methods, i.e. categorical and latent class. Conclusions: The specific question(s) driving the research and the nature of the variables a researcher intends to use in their adversity-outcome dyad will largely dictate which methods are more (or less) appropriate in that circumstance. A measured approach to the ways in which resilience is investigated is warranted in order to facilitate the most useful application of this burgeoning field of research. |
topic |
resilience conceptualisation operationalisation older adults methods |
url |
http://dx.doi.org/10.1080/21642850.2019.1593845 |
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