Journal of Adult Development

, Volume 11, Issue 1, pp 9–18

Everyday Problem Solving: Experience, Strategies, and Behavioral Intentions

  • Julie Hicks Patrick
  • JoNell Strough
Article

Abstract

Experience and strategic flexibility predict performance on solving hypothetical everyday problems, although their relation to real-world behavior is largely unknown (e.g., M. Diehl, S. L. Willis, & K. W. Schaie, 1995). Moreover, few studies have examined highly salient, rare-event problems such as relocation decisions. This study tested whether experience and strategic flexibility, in addition to demographic variables, were related to intentions to relocate. Ninety-five adults (M age = 72.1 years) completed problem-solving vignettes, provided information regarding previous experience with problems related to living arrangements, and stated personal relocation intentions. Logistic regression analyses showed that both experience (Odds Ratio (OR) = 40.6) and the number of strategies generated (OR= 3.0) were significantly associated with an increased likelihood of considering a late-life relocation. The benefits of linking lab-based assessments of everyday problem solving to real-world behavior are discussed.

problem solving decision making relocation strategies 

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REFERENCES

  1. Baltes, P. B., & Staudinger, U. M. (2000). Wisdom: A metaheuristic (pragmatic) to orchestrate mind and virtue toward excellence. American Psychologist, 55, 122-126.Google Scholar
  2. Berg, C. A., & Klaczynski, P. A. (1996). Practical intelligence and problem-solving: Searching for perspectives. In F. Blanchard-Fields & T. M. Hess (Eds.), Perspectives on cognitive change in adulthood and aging (pp. 323-357). New York: McGraw-Hill.Google Scholar
  3. Berg, C. A., Meegan, S. P., & Klaczynski, P. (1999). Age and experiential differences in strategy generation and information requests for solving everyday problems. International Journal of Behavioral Development, 23, 615-639.Google Scholar
  4. Berg, C. A., & Sternberg, R. J. (1985). A triarchic theory of intellectual development during adulthood. Developmental Review, 5, 334-370.Google Scholar
  5. Berg, C. A., Strough, J., Calderone, K. S., Sansone, S., & Weir, C. (1998). The role of problem definitions in understanding age and context effects on strategies for solving everyday problems. Psychology and Aging, 13, 29-44.Google Scholar
  6. Blanchard-Fields, F. & Chen, Y. (1996). Adaptive cognition and aging. American Behavioral Scientist, 39, 231-248.Google Scholar
  7. Blanchard-Fields, F., Jahnke, H. C., & Camp, C. J. (1995). Age differences in problem-solving style: The role of emotional salience. Psychology and Aging, 10, 173-180.Google Scholar
  8. Bland, J. M., & Altman, D. G. (2000). The odds ratio. BMJ, 320 1468.Google Scholar
  9. Bosman, E. A., & Charness, N. (1996). Age-related differences in skilled performance and skill acquisition. In F. Blanchard-Fields & T. M. Hess (Eds.), Perspectives on cognitive change in adulthood and aging (pp. 428-453). New York: McGraw-Hill.Google Scholar
  10. Choi, N. G. (1996). Older persons who move: Reasons and health consequences. Journal of Applied Gerontology, 15, 325-345.Google Scholar
  11. Cornelius, S., & Caspi, A. (1987). Everyday problem-solving in adulthood and old age. Psychology and Aging, 2, 144-153.Google Scholar
  12. Denney, N. W., & Pearce, K. A. (1989). A developmental study of practical problem solving in adults. Psychology and Aging, 4, 438-442.Google Scholar
  13. Diehl, M., Willis, S. L., & Schaie, K. W. (1995). Everyday problem solving in older adults: Observational assessment and cognitive correlates. Psychology and Aging, 10, 478-491.Google Scholar
  14. Faul, F., & Erdfelder, E. (1992). GPOWER: A priori, post hoc, and compromise power analysis for MS-DOS (computer program). Bonn, FRG: Bonn University, Department of Psychology.Google Scholar
  15. Hoyer, W. J., & Rybash, J. M. (1994). Characterizing adult cognitive development. Journal of Adult Development, 1, 7-12.Google Scholar
  16. Juster, F. T. (1997). On the measurement of expectations, uncertainty, and preferences. Journal of Gerontology: Social Sciences, 52B, S237-S239.Google Scholar
  17. Landauer, T. K. (1989). Some bad and some good reasons for studying memory and cognition in the wild. In L.W. Poon, D. C. Rubin, & B. A. Wilson (Eds.), Everyday cognition in adulthood and late life (pp. 116-125). Cambridge, UK: Cambridge University Press.Google Scholar
  18. Lawton, M. P. (1999). Environmental design features and the well-being of older persons. In Michael Duffy et al. (Eds.),Handbook of counseling and psychotherapy with older adults.(pp. 350-363). New York: Wiley.Google Scholar
  19. Marsiske, M., & Willis, S. L. (1995). Dimensionality of everyday problem solving in older adults. Psychology and Aging, 10, 269-283.Google Scholar
  20. Meacham, J. A., & Emont, N. C. (1989). The interpersonal basis of everyday problem solving. In J. D. Sinnott (Ed.), Everyday problem solving (pp. 7-23). New York: Praeger.Google Scholar
  21. Morrow, D., Leirer, V., Altieri, P., & Fitzsimmons, C. (1994). When expertise reduces age differences in performance. Psychology and Aging, 9, 134-148.Google Scholar
  22. Robison, J. T., & Moen, P. (2000). A life-course perspective on housing expectations and shifts in late midlife. Research on Aging, 22,–533.Google Scholar
  23. Silverstein, M., & Angelelli, J. J. (1998). Older parents' expectations of moving closer to their children. Journal of Gerontology: Social Sciences, 53B, S153-S163.Google Scholar
  24. Sinnott, J. D. (1998). The development of logic in adulthood: Postformal thought and its applications. New York: Plenum.Google Scholar
  25. Spivack, G., & Shure, M. B. (1982). The cognition of social adjustment. In B. B. Lahey, & A. E. Kazdin (Eds.), Advances in child psychology (pp. 323-372). New York: Plenum.Google Scholar
  26. Strough, J., Berg, C. A., & Sansone, C. (1996). Goals for solving everyday problems across the life span: Age and gender differences in the salience of interpersonal concerns. Developmental Psychology, 32, 1106-1115.Google Scholar
  27. Strough, J., Cheng, S., & Swenson, L. M. (2002). Preferences for collaborative and individual everyday problem solving in later adulthood. International Journal of Behavioral Development, 26, 26-35.Google Scholar
  28. Strough, J., Patrick, J. H., & Swenson, L. M. (2002). Strategies for solving everyday problems faced by grandparents: The role of experience. In B. Hayslip, & J. H. Patrick (Eds.), Working with custodial grandparents (pp. 257-275). New York: Springer.Google Scholar
  29. Strough, J., Patrick, J. H., Swenson, L. M., Cheng, S., & Barnes, K. A. (2003). Collaborative everyday problem solving: Interpersonal relationships and problem dimensions. International Journal of Aging and Human Development, 56, 43-66.Google Scholar
  30. Willis, S. L., Dolan, M. M., & Bertrand, R. M. (1999). Problem solving on health-related tasks of daily living. In D. C. Park, R. W. Morrell, & K. Shifren (Eds.), Processing of medical information in aging patients: Cognitive and human factors perspectives (pp. 199-219). Hillsdale, NJ: Erlbaum.Google Scholar
  31. Willis, S. L., & Schaie, K. W. (1993). Everyday cognition: Taxonomic and methodological considerations. In J. M. Puckett and H. W. Reese (Eds.), Mechanisms of everyday cognition (pp. 33-53). Hillsdale, NJ: Erlbaum.Google Scholar
  32. Yates, J. F., & Patalano, A. L. (1999). Decision making and aging. In D. C. Park, R. W. Morrell, & K. Shifren (Eds.), Processing of medical information in aging patients: Cognitive and human factors perspectives (pp. 31-54). Hillsdale, NJ: ErlbaumGoogle Scholar

Copyright information

© Plenum Publishing Corporation 2004

Authors and Affiliations

  • Julie Hicks Patrick
    • 1
  • JoNell Strough
    • 1
  1. 1.Department of PsychologyWest Virginia UniversityMorgantown

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