Impact of a randomized possible selves experiment on new retirees’ physical activity and identity

Background

Retirement is not always associated with greater engagement in physical activity. Previous interventions informed by possible selves, a type of future-oriented self-representation, proved useful to increase physical activity in young adults. We thus wanted to explore if a similar intervention would yield favorable outcomes in new retirees. We also examined whether possible selves could help increase identity relative to the physical activity context. Identity circumscribes the meanings which help individuals define who they are in a given role (i.e., what it means to be a physically active person). The strength of identification as a physically active person increases when individuals endorse these meanings more strongly. Possible selves may be tied to identity as they allow individuals to imagine themselves as physically active, which has been argued to incite changes to one’s sense of self. Hence, the overall aim of this study was to determine whether a possible selves intervention would increase physical activity behaviour and physical activity identity in a group of newly-retired individuals.

Methods

A total of 294 participants were randomized into one of three groups: (a) a repeated group with three possible selves image generation exposures, (b) a one-time group with one possible selves image generation exposure, or (c) a control group. Participants completed self-report measures at baseline and follow-up assessments were taken at weeks 4, 8, and 12 of the study. The measures for the outcomes of interest were the Godin Leisure Time Exercise Questionnaire and the modified Exercise Identity Scale.

Results

Repeated measures mixed-effects models analyses with maximum likelihood estimation revealed no significant differences between groups on physical activity behaviour (p?=?0.34) or physical activity identity (p?=?0.97) at follow-up time points. However, a time effect was found for physical activity (p?<.01) and physical activity identity (p?<.01), which increased across time (baseline-to-12-week follow-up) in all three groups. Such a time effect (inconsequential to group assignment) suggests that the observed increases in physical activity and identity cannot be attributed to an exposure to a possible selves intervention.

Conclusions

While the intervention failed to significantly increase physical activity identity and physical activity in newly retired individuals, we suggest future research directions for interventions targeting new retired individuals.

     

ON BEING A POOR CHILD IN AMERICA

This exploratory qualitative study probed the experiences of fourteen 7–12-year-old children living in poverty. Child-centered activity-based interviewing methods were utilized. Three universal themes with eight life area specific categories emerged from qualitative data analysis. This study's findings suggest that children perceive poverty as a hurtful and detrimental factor in their lives. The findings also suggest, however, that some children living in poverty may not view their current financial situation as limiting to their future prospects, and that in spite of the hardships they themselves face, children living in poverty have tremendous compassion for children less fortunate than themselves. Finally, the study concludes that the child-centered research methods allow for children to make valuable contributions to childhood poverty research.     

Best linear corrector of classification estimates of proportions of objects in several unknown classes

It has been recognized that counting the objects allocated by a rule of classification to several unknown classes often does not provide good estimates of the true class proportions of the objects to be classified. We propose a linear transformation of these classification estimates, which minimizes the mean squared error of the transformed estimates over all possible sets of true proportions. This so-called best-linear-corrector (BLC) transformation is a function of the confusion (classification-error) matrix and of the first and second moments of the prior distribution of the vector of proportions. When the number of objects to be classified increases, the BLC tends to the inverse of the confusion matrix. The estimates that are obtained directly by this inverse-confusion corrector (ICC) are also the maximum-likelihood unbiased estimates of the probabilities that the objects originate from one or the other class, had the objects been preselected with those probabilities. But for estimating the actual proportions, the ICC estimates behave less well than the raw classification estimates for some collections. In that situation, the BLC is substantially superior to the ICC even for some large collections of objects and is always substantially superior to the raw estimates. The statistical model is applied concretely to the measure of forest covers in remote sensing.     

Promising Practices of Nonprofit Organizations to Respond to the Challenges Faced in Countering the Mistreatment of Older Adults

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This article discusses promising practices used by employees and volunteers in nonprofit organizations (NPOs) in...