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Psychoperiscope

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Quantitative Psychology (IMPS 2019)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 322))

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Abstract

Psychoperiscope is a coined nomenclature which integrates periscope and psychometrics to mirror the mediating-moderating effect of cognitive coping strategies in the relationship between illness and quality of life. Coping refers to the effort toward mastering demands posed by harm, threat, or challenge being appraised and/or perceived as taxing available resources. It could be in terms of problem-focused versus emotion-focused as well as behavioral coping versus cognitive coping dimensions. The mediating-moderating effect of cognitive coping strategies, in the relationship between illness and quality of life, has not been clearly understood due to lack of a construct-relevant assessment scale. Therefore, this study developed a suitable scale using mixed methods embedded design. The mixed methods embedded design was opted for due to its advantageous measurement characteristics which would elucidate quality of life variance in relation to the effects of cognitive coping strategies on the variance of illness. Based on the Gandi Psychometric Model, the term psychoperiscope was coined as a new psychometric nomenclature and adopted in this context as the scale name. Psychoperiscope was pilot-tested on a sample of 30*3 (i.e., n = 30 × 3) participants, translated as consisting of 30 patients alongside their respective 30 family members and 30 clinical practitioners selected by the multistage sampling method. The final psychoperiscope, a 21-item (3-version) scale, proves significantly reliable for research and also serves as a valid screening tool. Following the useful data it elicited in this study, psychoperiscope would effectively generate more optimal and robust data if complemented with an experimental case study.

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References

  • Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed methods approaches (2nd ed.). Thousand Oaks: Sage.

    Google Scholar 

  • Creswell, J. W. (2014). A concise introduction to mixed methods research. Thousand Oaks: Sage.

    Google Scholar 

  • Creswell, J. W., & Plano Clark, V. (2007). Designing and conducting mixed methods research. Thousand Oaks: Sage.

    Google Scholar 

  • De Vaus, D. A. (2001). Research design in social research. London: Sage.

    Google Scholar 

  • Epskamp, S., Borsboom, D., & Fried, E. I. (2017). Estimating psychological networks and their accuracy. Behaviour Research Methods, 50(1), 195–212. https://doi.org/10.3758/s13428-017-0862-1.

    Article  Google Scholar 

  • Fava, G. A., Tomba, E., & Sonino, N. (2011). Clinimetrics: The science of clinical measurement. The International Journal of Clinical Practice, 66(1), 11–15. https://doi.org/10.1111/j.1742-1241.2011.02825.x.

    Article  Google Scholar 

  • Feinstein, A. R. (1987). Clinimetrics. New Haven: Yale University Press.

    Book  Google Scholar 

  • Gandi, J. C. (2018). Development and validation of health personnel perceived quality of life scale (Unpublished doctoral thesis). University of Ibadan, Nigeria.

    Google Scholar 

  • Gandi, J. C. (2019). Rumor scale development. In M. Wiberg, S. Culpepper, R. Jansen, J. Gonzalez, & D. Molenaar (Eds.), Quantitative psychology. IMPS 2018 Springer proceedings in mathematics and statistics (Vol. 265, pp. 429–447). Cham: Springer.

    Google Scholar 

  • Gandi, J. C., & Wai, P. S. (2010). Impact of partnership in coping in mental health recovery: An experimental study at the Federal Neuro-Psychiatric Hospital Kaduna. International Journal of Mental Health Nursing, 19(5), 322–330.

    Article  Google Scholar 

  • Garnefski, N., van den Kommer, T., Kraaij, V., Teerds, J., Legerstee, J., & Onstein, E. (2002). The relationship between cognitive emotion regulation strategies and emotional problems. European Journal of Personality, 16, 403–420.

    Article  Google Scholar 

  • Greene, J. C., Caracelli, V. J., & Graham, W. F. (1989). Towards a conceptual framework for mixed methods evaluation designs. Educational Evaluation and Policy Analysis, 11(3), 255–274.

    Article  Google Scholar 

  • Johnson, R. B., & Christensen, L. (2014). Educational research: Quantitative, qualitative, and mixed approaches. Washington, DC: Sage.

    Google Scholar 

  • Lauritzen, S. L. (1996). Graphical models. Oxford: Clarendon Press.

    MATH  Google Scholar 

  • Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28, 563–575.

    Article  Google Scholar 

  • Mackie, J. L. (1965). Causes and conditions. American Philosophical Quarterly, 12, 245–265.

    Google Scholar 

  • Mayo, N. E. (2015). Dictionary of quality of life and health outcomes measurement (1st ed.). Milwaukee: International Society for Quality of Life Research (ISOQOL).

    Google Scholar 

  • Monat, A., & Lazarus, R. S. (1991). Stress and coping: An anatomy. New York: Columbia University Press.

    Book  Google Scholar 

  • Morgan, D. L. (1998). Focus group guidebook. Thousand Oaks: Sage.

    Book  Google Scholar 

  • Morse, J. M. (2003). Principles of mixed methods and multimethod research design. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods research (pp. 189–208). Thousand Oaks: Sage.

    Google Scholar 

  • Schoonenboom, J., & Johnson, R. B. (2017). How to construct a mixed methods research design. Kolner Z Soz Sozpsychology, 69(Suppl 2), 107–131.

    Article  Google Scholar 

  • Schwartz, C. E., & Rapkin, B. D. (2004). Reconsidering the psychometrics of quality of life assessment in light of response shift and appraisal. Health and Quality of Life Outcomes, 2(16), 1–11.

    Google Scholar 

  • Soanes, C., & Stevenson, A. (2007). Concise oxford English dictionary (11th edition revised (3rd impression)). Oxford: Oxford University Press.

    Google Scholar 

  • Trochim, W. M. K., & Donnelly, J. P. (2008). The research methods knowledge base (3rd ed.). Cincinnati: Atomic Dog Publishing (a part of Cengage Learning).

    Google Scholar 

  • Upton, D., & Upton, P. (2007). A psychometric approach to health related quality of life measurement: A brief guide for users. In Leading-edge psychological tests and testing research (pp. 71–89). New York: Nova Science.

    Google Scholar 

  • Yin, R. K. (2014). Case study research design and methods (5th ed.). Thousand Oaks: Sage.

    Google Scholar 

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Gandi, J.C. (2020). Psychoperiscope. In: Wiberg, M., Molenaar, D., González, J., Böckenholt, U., Kim, JS. (eds) Quantitative Psychology. IMPS 2019. Springer Proceedings in Mathematics & Statistics, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-030-43469-4_23

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