Motivation to Engage in Aging Research: Are There Typologies and Predictors?. (10th March 2022)

• Record Type: Journal Article
• Authors: Carr, Dawn C; Tian, Shubo; He, Zhe; Chakraborty, Shayok; Dieciuc, Michael; Gray, Nicholas; Agharazidermani, Maedeh; Lustria, Mia Liza A; Dilanchian, Andrew; Zhang, Shenghao; Charness, Neil; Terracciano, Antonio; Boot, Walter R
• Editors: Meeks, Suzanne
• Is Part Of: Gerontologist. Volume 62:Number 10(2022)
• Page Start: 1466
• Page End: 1476
• Publication Date: 2022-03-10
• Subjects: Adherence -- Motivation -- Recruitment -- Research participation; Older people -- Periodicals; Older people -- United States -- Periodicals; 305.2605
• DOI: 10.1093/geront/gnac035
• Languages: English
• ISSNs: 0016-9013

Abstract

Abstract: Background and Objectives: Study recruitment and retention of older adults in research studies is a major challenge. Enhancing understanding of individual differences in motivations to participate, and predictors of motivators, can serve the dual aims of facilitating the recruitment and retention of older adults, benefiting study validity, economy, and power. Research Design and Methods: Older adults ( N = 472) past and potential participants were surveyed about motivations to participate in research, demographic, and individual difference measures (e.g., health status, cognitive difficulties). Latent class and clustering analyses explored motivation typologies, followed by regression models predicting individual motivators and typologies. Results: Older adults endorsed a diversity of research motivations, some of which could be predicted by individual difference measures (e.g., older participants were more motivated by the desire to learn new technology, participants without a college education were more motivated by financial compensation, and participants with greater self-reported cognitive problems were more likely to participate to gain cognitive benefit). Clustering analysis revealed 4 motivation typologies: brain health advocates, research helpers, fun seekers, and multiple motivation enthusiasts. Cognitive difficulties, age, employment status, and previous participation predicted membership in these categories. Discussion and Implications: Results provide an understanding of different participant motivations beyond differences between younger and older adults and begin to identify different classes of older adults motivated to participate in research studies. Results can provide guidance for targeted recruitment and retention strategies based on individual differences in stated or predicted motivations.