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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed methods approaches (2nd ed.). Thousand Oaks: Sage.
Creswell, J. W. (2014). A concise introduction to mixed methods research. Thousand Oaks: Sage.
Creswell, J. W., & Plano Clark, V. (2007). Designing and conducting mixed methods research. Thousand Oaks: Sage.
De Vaus, D. A. (2001). Research design in social research. London: Sage.
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.
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.
Feinstein, A. R. (1987). Clinimetrics. New Haven: Yale University Press.
Gandi, J. C. (2018). Development and validation of health personnel perceived quality of life scale (Unpublished doctoral thesis). University of Ibadan, Nigeria.
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.
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.
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.
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.
Johnson, R. B., & Christensen, L. (2014). Educational research: Quantitative, qualitative, and mixed approaches. Washington, DC: Sage.
Lauritzen, S. L. (1996). Graphical models. Oxford: Clarendon Press.
Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28, 563–575.
Mackie, J. L. (1965). Causes and conditions. American Philosophical Quarterly, 12, 245–265.
Mayo, N. E. (2015). Dictionary of quality of life and health outcomes measurement (1st ed.). Milwaukee: International Society for Quality of Life Research (ISOQOL).
Monat, A., & Lazarus, R. S. (1991). Stress and coping: An anatomy. New York: Columbia University Press.
Morgan, D. L. (1998). Focus group guidebook. Thousand Oaks: Sage.
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.
Schoonenboom, J., & Johnson, R. B. (2017). How to construct a mixed methods research design. Kolner Z Soz Sozpsychology, 69(Suppl 2), 107–131.
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.
Soanes, C., & Stevenson, A. (2007). Concise oxford English dictionary (11th edition revised (3rd impression)). Oxford: Oxford University Press.
Trochim, W. M. K., & Donnelly, J. P. (2008). The research methods knowledge base (3rd ed.). Cincinnati: Atomic Dog Publishing (a part of Cengage Learning).
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.
Yin, R. K. (2014). Case study research design and methods (5th ed.). Thousand Oaks: Sage.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-43469-4_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-43468-7
Online ISBN: 978-3-030-43469-4
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)