scholarly journals Effectiveness of strategies for solving everyday problems during early and later adulthood: A reexamination of the Everyday Problem Solving Inventory

2010 ◽  
Author(s):  
Joseph P. McFall
2021 ◽  
Vol 17 (S6) ◽  
Author(s):  
Claudia Nayares ◽  
Makayla Bailey ◽  
Celine Jimenez ◽  
Jannine Balakid ◽  
David D Lent ◽  
...  

Gerontology ◽  
2017 ◽  
Vol 63 (4) ◽  
pp. 372-384 ◽  
Author(s):  
Xi Chen ◽  
Christopher Hertzog ◽  
Denise C. Park

Background: An important aspect of successful aging is maintaining the ability to solve everyday problems encountered in daily life. The limited evidence today suggests that everyday problem solving ability increases from young adulthood to middle age, but decreases in older age. Objectives: The present study examined age differences in the relative contributions of fluid and crystallized abilities to solving problems on the Everyday Problems Test (EPT). We hypothesized that due to diminishing fluid resources available with advanced age, crystallized knowledge would become increasingly important in predicting everyday problem solving with greater age. Method: Two hundred and twenty-one healthy adults from the Dallas Lifespan Brain Study, aged 24-93 years, completed a cognitive battery that included measures of fluid ability (i.e., processing speed, working memory, inductive reasoning) and crystallized ability (i.e., multiple measures of vocabulary). These measures were used to predict performance on EPT. Results: Everyday problem solving showed an increase in performance from young to early middle age, with performance beginning to decrease at about age of 50 years. As hypothesized, fluid ability was the primary predictor of performance on everyday problem solving for young adults, but with increasing age, crystallized ability became the dominant predictor. Conclusion: This study provides evidence that everyday problem solving ability differs with age, and, more importantly, that the processes underlying it differ with age as well. The findings indicate that older adults increasingly rely on knowledge to support everyday problem solving, whereas young adults rely almost exclusively on fluid intelligence.


2003 ◽  
Vol 56 (1) ◽  
pp. 43-66 ◽  
Author(s):  
JONell Strough ◽  
Julie Hicks Patrick ◽  
Lisa M. Swenson ◽  
Suling Cheng ◽  
Kristi A. Barnes

Older adults' preferred partners for collaborative everyday problem solving and the types of everyday problems solved alone and with others were examined in a sample of community dwelling older adults ( N = 112, M age = 71.86 yrs., SD = 5.92 yrs.). Family members (i.e., spouses, adult children) were the most frequently nominated partners for collaborative everyday problem solving, but friends, neighbors, and church members also were nominated. Older adults reported that they solved numerous types of problems, including finance, house repair, and health, in collaboration with others. These problems were also prominent when older adults reported the problems that they consulted others for advice on how to solve and the problems they solved alone. Together the results suggest new directions for research on collaborative everyday problem solving in terms of the types of interpersonal relationships and problems to be investigated. Implications of the findings for researchers and practitioners are discussed in terms of how to best understand and promote successful aging.


1999 ◽  
Vol 23 (3) ◽  
pp. 615-639 ◽  
Author(s):  
Cynthia A. Berg ◽  
Sean P. Meegan ◽  
Paul Klaczynski

The role of experience in understanding age differences in strategy generation and information requests for solving everyday problems was explored in young and older adults. Participants received three hypothetical problems dealing with going to doctor’s offices and going to dinner parties and were probed extensively for their strategies and information they would like to solve the problems. Experience with these two domains was assessed by participants’ reports of their experience, script knowledge, and the presence of experience in problem definitions. No age differences were found in these experience measures. Age differences were found in the number of strategies generated and the amount of information requested to solve the problem. Two patterns of everyday problem solving were uncovered: an exhaustive style (involving inferential problem definition, elaborate strategy generation, and information requests); and an experiential style (involving experiential problem definition, less strategy generation, and fewer information requests). The results are interpreted within a model that uses individuals’ problem definitions to understand multiple aspects of everyday problem-solving performance.


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