Abstract
Assumptions are the foci for any theory and thus any paradigm. It is also important that assumptions are made explicit, and that the number of assumptions is sufficient to describe the phenomenon at hand. Explication of assumptions is even more crucial in research methods used to test the theories. As Mitroff and Bonoma (Evaluation Quarterly 2(2):235–260, 1978) have eloquently put it: “the power of an experiment is only as strong as the clarity of the basic assumptions which underlie it. Such assumptions not only underlie laboratory experimentation but social evaluation research as well.” A scale of articulation of assumptions is represented: (a) Very ambiguously tacit assumptions held in divergent beliefs; (b) Tacit but more obvious assumptions-where parties more or less have shared although unexpressed perceptions or beliefs e.g., legal assumptions in litigation; (c) Informally, explicit assumptions e.g., indirectly expressed or inherent in shared stories, norms, un-codified symbols, and myths; (d) Assumptions that are made explicit. E.g. in theories and models, policies and programs, research and methodology but untested; and (e) Explicit and tested assumptions.
Apparently, assumption is believed to provide an easy or lazy person’s way out of what seems to be, at least at first glance, a perplexing situation. At least, one is not justified in going ahead and making some assumption which moderately expressed is wholly an arbitrary one. Accuracy of interpretation never can be supplanted by assumption. I assume one thing, you assume something else, and the other fellows each assume something different from each of the others. Grant the acceptance of assumption, and then any one of a 100 different solutions is correct. Could anything be more ridiculous?
Bennet 1933, p. 158
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References
Babbie, E. R. (2007). The practice of social research (11th ed.). Belmont, CA: Thompson Wadsworth.
Becker, J., & Niehaves, B. (2007). Epistemological perspectives on IS research: A framework for analyzing and systematizing epistemological assumptions. Information Systems Journal, 17, 197–214.
Bennett, G. E. (1933). Assumptions. The Accounting Review, 8(2), 157–159.
Bhaskar, R. (1975). A realist theory of science. Leeds: Leeds Books.
Bonell, C. (1999). Evidence based nursing: A stereo-typed view of quantitative and experimental research could work against professional autonomy and authority. Journal of Advanced Nursing, 30(1), 18–23.
Borg, W., & Gall, M. (1983). Educational research: An introduction (4th ed.). New York: Longman Publishers.
Bredo, E., & Feinberg, W. (1982). Knowledge and values in social and educational research. Philadelphia: Temple University Press.
Bryman, A. (1988). Quantity and quality in social research. London: Routledge.
Bryman, A. (1998). Quantitative and qualitative research strategies in knowing the social world. In T. May & M. Williams (Eds.), Knowing the social world. Buckingham and Philadelphia: Open University Press.
Bryman, A. (2006). Integrating quantitative and qualitative research: How is it done? Qualitative Research, 6, 97–113.
Campbell, R., & Wasco, S. M. (2000). Feminist approaches to social science: Epistemological and methodological tenets. American Journal of Community Psychology, 28(6), 773–791.
Carter, S. M., & Little, M. (2007). Justifying knowledge, justifying method, taking action: epistemologies, methodologies, and methods in qualitative research. Qualitative Health Research, 17(10), 1316–1328.
Clark, A. M. (1998). The qualitative-quantitative debate: moving from positivism and confrontation to post positivism and reconciliation. Journal of Advanced Nursing, 27, 1242–1249.
Cook, J. A., & Fonow, M. M. (1986). Knowledge and women’s interests: Issues of epistemology and methodology in feminist sociological research. Sociological Inquiry, 56, 2–29.
Coomer, D. (1984). Critical science: Approach to vocational education research. Journal of Vocational Education Research, 9(4), 34.
Creswell, J. W., Hanson, W. E., Plano, V. L., & Morales, A. (2007). Qualitative research designs: Selection and implementation. The Counseling Psychologist, 35(2), 236–264.
Gioia, D. A., & Pitre, E. (1990). Multiparadigm perspectives on theory building. The Academy of Management Review, 15(4), 584–602.
Crossan, M. M., Lane, H. W., & White, R. E. (1999). An organizational learning framework: from intuition to institution. The Academy of Management Review, 24(3), 522–537.
Crossan, M., & Guatto, T. (1996). Organizational learning research profile. Journal of Organizational Change Management, 9(1), 107–112.
Crossan, M., Lane, H., White, R. E., & Djurfeldt, L. (1995). Organizational learning: Dimensions for a theory. International Journal of Organizational Analysis, 3, 337–360.
Garrick, J. (2010). Doubting the philosophical assumptions of interpretive research. International Journal of Qualitative Studies in Education, 12(2), 147–156.
Granello, D. H. (2002). Assessing the cognitive development of counseling students: changes in epistemological assumptions. Counselor Education and Supervision, 41(4), 279–293.
Greene, J. C., & Curucelli, V. (1997). Defining and describing the paradigm issue in mixed-method evaluation. New Directions for Evaluation, 74(Summer), 5–17.
Greene, J. C., Lipsey, M. W., & Schwandt, T. A. (2007). Method choice: Five discussant commentaries. New Directions for Evaluation, 113(Spring), 111–118.
Guba, E. G., & Lincoln, Y. S. (1989). Fourth generation evaluation. Newbury Park: Sage.
Hammersley, M. (1995). The politics of social research. London: Sage.
Hawkins, D. F. (1978). Applied research and social theory. Evaluation Quarterly, 2(1), 141–152.
Healy, M., & Perry, C. (2000). Comprehensive criteria to judge validity and reliability of qualitative research within the realism paradigm. Qualitative Market Research: An International Journal, 3(3), 118–126.
Hjørland, B. (2002). Epistemology and the socio-cognitive perspective in information science. Journal of the American Society for Information Science and Technology, 53(4), 257–270.
Hofer, B. K., & Pintrich, P. R. (2002). Personal epistemology: The psychology of beliefs about knowledge and knowing. Mahwah: Erlbaum.
Ingwersen, P. (1996). Cognitive perspectives of information retrieval interaction: Elements of a cognitive IR theory. Journal of Documentation, 52(1), 3–50.
John, B. E., & Kieras, D. E. (1996). The GOMS family of user interface analysis techniques: Comparison and contrast, ACM transactions on computer. Human Interaction, 3(4), 320–351.
Kanazawa, S. (1988). In defense of unrealistic assumptions. Sociological Theory, 16(2), 193–204.
Kaplan, S. A., & Garrett, K. E. (2005). The use of logic models by community-based initiatives. Evaluation and Program Planning, 28, 167–172.
Kerem, E., Fishman, N., & Josselson, R. (2001). The experience of empathy in everyday relationships: Cognitive and affective elements. Journal of Social and Personal Relationships, 18(5), 709–729.
Kies, D. (1995). Assumptions. Retrieved July 12, 2011 from http://papyr.com/hypertextbooks/comp2/assume.htm.
Kuhn, T. S. (1970). The structure of scientific revolutions (2nd ed.). Chicago: University of Chicago Press.
Lynn, S. J., Weekes, J. R., & Milano, M. J. (1989). Reality versus suggestion: Pseudo memory in hypnotizable and simulating subjects. Journal of Abnormal Psychology, 198(2), 137–144.
Mason, P., & Barnes, M. (2007). Constructing theories of change: Methods and sources. Evaluation, 13(2), 151–170.
Mingers, J. A. (2003). Classification of the philosophical assumptions of management science. Journal of the Operational Research Society, 54(6), 559–570.
Mir, R., & Watson, A. (2001). Critical realism and constructivism in strategy research: Toward a synthesis. Strategic Management Journal, 22, 1169–1173.
Mitroff, J., & Bonoma, T. V. (1978). Experimentation, and real world problems. A critique and an alternate approach to evaluation of psychological assumptions. Evaluation Quarterly, 2(2), 235–260.
Morgan, G., & Smircich, L. (1980). The case for qualitative research. The Academy of Management Review, 5(4), 491–500.
Nagel, E. (1963). Assumptions in economic theory. The American Economic Review, 53(2), 211–219.
Patton, M. Q. (2011). Developmental evaluation: Applying complexity concepts to enhance innovation and use. New York: Guilford Press.
Perry, C. (1998). Processes of a case study methodology for postgraduate research in marketing. European Journal of Marketing, 32(9), 785–802.
Robson, C. (1993). Real world research: A resource for social scientists and practitioners-researchers. Oxford: Basil Blackwell.
Sale, J. E., Lohfeld, L. H., & Brazil, K. (2002). Revisiting the quantitative-qualitative debate: Implications for mixed-methods research. Revisiting the Quality and Quantity, 36, 43–53.
Scates, D. E. (1940). Assumptions underlying research data. The Journal of Educational Research, 34(4), 241–254.
Scott, D., & Usher, R. S. (1996). Understanding educational research. London: Routledge.
Shermer, M. (2011). The believing brain: From ghosts and gods to politics and conspiracies-How we construct beliefs and reinforce them as truths. New York: Times Books.
Shrivastava, P., & Mitroff, I. I. (1984). Enhancing organizational research utilization: The role of decision makers’ assumptions. The Academy of Management Review, 9(1), 18–26.
Schwandt, T. A. (2001). Dictionary of qualitative inquiry (2nd ed.). Thousand Oaks: Sage.
Shah, S. K., & Corley, K. G. (2006). Building better theory by bridging the quantitative–qualitative divide. Journal of Management Studies, 43(8), 1821–1835.
Tsoukas, H. (1991). The missing link: A transformational view of metaphors in organizational science. Academy of Management Review, 16(1), 566–585.
Ullman-Margalit, E. (1983). On presumption. The Journal of Philosophy, 80(3), 143–163.
Warner, R. S. (1978). Toward a redefinition of action theory: paying the cognitive element its due. American Journal of Sociology, 83(6), 1317–1349.
Weiss, C. H. (1995). Nothing as practical as good theory: Exploring theory-based evaluation for comprehensive community initiatives for children and families. In K. Fulbright-Anderson, A. C. Kubrisch, & J. P. Connell (Eds.), New approaches to evaluating community initiatives: Theory, measurement and analysis (Vol. 2, pp. 65–92). Washington, DC: Aspen Institute.
Weiss, C. (2000). Which links in which theories shall we evaluate? New Directions for Evaluation, 87(Fall), 35–45.
Wegerif, R. (2008). Objective approaches: Dialogic or dialectic? The significance of ontological assumptions in research on educational dialogue. British Educational Research Journal, 34(3), 347–361.
White, H. D., & McCain, K. W. (1998). Visualizing a discipline: An author co-citation analysis of information science, 1972–1995. Journal of the American Society for Information Science, 49(4), 327–355.
Williams, D. D. (1986). When is naturalistic evaluation appropriate? New Directions for Program Evaluation, 30(Summer), 85–92.
Yauch, C. A., & Steudel, H. J. (2003). Complementary use of qualitative and quantitative cultural assessment methods. Organizational Research Methods, 6(4), 465–481.
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Nkwake, A.M. (2013). Why are Assumptions Important?. In: Working with Assumptions in International Development Program Evaluation. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4797-9_7
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