Gender Differences in the Role of Positive and Negative Social Interactions on Retirement Satisfaction
Advisor Information
Dr. Jonathan Santo
Location
MBSC 201
Presentation Type
Poster
Start Date
6-3-2020 10:45 AM
End Date
6-3-2020 12:00 PM
Abstract
Research has examined different domains of social exchanges in relation to adjustment among older adults. Predictably, positive exchanges are associated with positive affect and negative exchanges are associated with negative affect. The current study examined the relationship between different social interactions and retirement satisfaction.
The current study was a part of a 1-year-long study with 433 retirees at Concordia University in Montréal, Quebec, Canada. Data utilized for the present study was from the first point of data collection. Participants completed measures of social interactions.
We employed structural equation modeling using latent constructs of the social interactions. We regressed retirement satisfaction on all latent constructs. Positive informational and positive emotional interactions were significant, positive predictors of retirement satisfaction. Negative informational interaction was a significant, negative predictor of retirement satisfaction. A revised model trimmed for parsimony tested for gender differences with retirement satisfaction regressed on positive informational, positive instrumental, positive communal, positive emotional, and negative informational interactions. All told, the social interactions accounted for 12.5% of the variability in retirement satisfaction.
Some gender differences emerged. Women reported marginally significantly fewer positive instrumental interactions and significantly fewer positive emotional interactions. Negative informational interaction predicted lower retirement satisfaction only for men. The final model accounted for 20.8% of the variability among men, but only 8.9% of the variability among women.
The current study illustrates the importance of testing for gender differences in social interactions in older adults. This suggests that we have a better understanding of what predicts retirement satisfaction among men than women.
Gender Differences in the Role of Positive and Negative Social Interactions on Retirement Satisfaction
MBSC 201
Research has examined different domains of social exchanges in relation to adjustment among older adults. Predictably, positive exchanges are associated with positive affect and negative exchanges are associated with negative affect. The current study examined the relationship between different social interactions and retirement satisfaction.
The current study was a part of a 1-year-long study with 433 retirees at Concordia University in Montréal, Quebec, Canada. Data utilized for the present study was from the first point of data collection. Participants completed measures of social interactions.
We employed structural equation modeling using latent constructs of the social interactions. We regressed retirement satisfaction on all latent constructs. Positive informational and positive emotional interactions were significant, positive predictors of retirement satisfaction. Negative informational interaction was a significant, negative predictor of retirement satisfaction. A revised model trimmed for parsimony tested for gender differences with retirement satisfaction regressed on positive informational, positive instrumental, positive communal, positive emotional, and negative informational interactions. All told, the social interactions accounted for 12.5% of the variability in retirement satisfaction.
Some gender differences emerged. Women reported marginally significantly fewer positive instrumental interactions and significantly fewer positive emotional interactions. Negative informational interaction predicted lower retirement satisfaction only for men. The final model accounted for 20.8% of the variability among men, but only 8.9% of the variability among women.
The current study illustrates the importance of testing for gender differences in social interactions in older adults. This suggests that we have a better understanding of what predicts retirement satisfaction among men than women.