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.
Cosco, Theodore & Kok, Almar & Wister, Andrew & Howse, Kenneth. (2019). Conceptualising and operationalising resilience in older adults. Health Psychology and Behavioral Medicine. 7. 90-104. 10.1080/21642850.2019.1593845. DOI: 10.1080/21642850.2019.1593845
Health Psychology and Behavioral Medicine
Conceptualising and operationalising resilience in older adults
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