The 'Holy Trinity' of Methodological Rigor: A Skeptical View

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Chris L. S. Coryn

Abstract

Rigor in research is normally conceived of as the means by which integrity and competence are confirmed (Tobin & Begley, 2004).1 That is, a way of demonstrating the legitimacy or soundness of the research process. Without rigor, it is argued, there is a danger that research may become fictional journalism and therefore worthless as contributing to knowledge (Morse, Barrett, Mayan, Olson, & Spiers, 2002).

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How to Cite
Coryn, C. L. S. (2007). The ’Holy Trinity’ of Methodological Rigor: A Skeptical View. Journal of MultiDisciplinary Evaluation, 4(7), 26–31. https://doi.org/10.56645/jmde.v4i7.7
Section
Research Articles

References

Morse, J. M., Barrett, M., Mayan, M., Olson, K., & Spiers, J. (2002). Verification strategies for establishing reliability and validity in qualitative research. International Journal of Qualitative Methods, 1(2), Article 2. Retrieved July 16, 2006 from http://www.ualberta.ca/~ijqm/

https://doi.org/10.1177/160940690200100202

Patton, M. Q. (2002). Qualitative research and evaluation methods (3rd ed.). Thousand Oaks, CA: Sage.

Przeworski, A. (1987). Methods of cross-national research, 1970-1983: An overview. In M. Dierkes, H. N. Weiler, & A. B. Antal (Eds.), Comparative policy research: Learning from experience(pp. 31-49). Aldershot, England: Gower.

Raiffa, H. (1968). Decision analysis. Reading, MA: Addison-Wesley.

Sandelowski, M. (1995). The problem of rigor in qualitative research. Advances in Nursing Science, 8(3), 125-130.

https://doi.org/10.1097/00012272-198604000-00005

Scriven, M. (2006). Can we infer causation from cross-sectional data? Retrieved August 31, 2006 from http://www7.nationalacademies.org/bota/School-Level Data_Michael Scriven-Paper.pdf

Scriven, M. (2006, September). The latest battle in the war over research designs for establishing causation. Paper presented at The Evaluation Center's Evaluation Café series, Kalamazoo, Michigan.

Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston, MA: Houghton Mifflin.

Spearman, C. (1907). Demonstration of the formulae for true measurement of correlation. American Journal of Psychology, 18(2), 161-169.

https://doi.org/10.2307/1412408

Spearman, C. (1913). Correlations of sums and differences. British Journal of Psychology, 5, 417-426.

https://doi.org/10.1111/j.2044-8295.1913.tb00072.x

Strauss, A., & Corbin, J. (1998). Basics of qualitative research (2nd ed.). Thousand Oaks, CA: Sage.

Tobin, G. A., & Begley, C. M. (2004). Methodological rigour within a qualitative framework. Journal of Advance Nursing, 48(4), 388-396.

https://doi.org/10.1111/j.1365-2648.2004.03207.x

Trochim, W. M. K. (2002). Qualitative validity. Retrieved July 18, 2006 from http://www.socialresearchmethods.net/kb/qualval.htm

Winter, G. (2000). A comparative discussion of the notion of 'validity' in qualitative and quantitative research. The Qualitative Report, 4(3/4). Retrieved July 16, 2006 from http://www.nova.edu/ssss/QR/QR4-3/winter.html

https://doi.org/10.46743/2160-3715/2000.2078

Yin, R. K. (1994). Case study research: Design and methods (2nd ed.) (Applied Social Research Methods Series, Vol. 5). Thousand Oaks, CA: Sage.