Abstract
In this chapter Grabbe contrasts the rationale for using the true experiment or a quasi-experiment method in a research design based on several of his studies. He clearly holds a positivist ideology. The unit of analysis in his research strategy was the treatment or preexisting condition for the nonequivalent groups. The level of analysis was group in these designs and the focus was between-groups rather than within-group. The heavy use of a priori factors from his literature review would suggest a deductive purpose with a generalization target to similar groups in business and management.
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References
Blumberg, B., Cooper, D. R., & Schindler, P.S. (2008). Business research methods, Berkshire: McGraw-Hill.
Bryman, A. (2006). Integrating quantitative and qualitative research: How is it done? Qualitative Research, 6(1), 97–114.
Bugelski, B. R. (1981). Life and the laboratory. In I. Silverman (Ed.), Generalizing from laboratory to life (pp. 51–65). San Franciso, CA: Jossey-Bass.
Campbell, D. T., & Boruch, R. F. (1975). Making the case for randomized assignment to treatments by considering the alternatives: Six ways in which quasi-experimental evaluations in compensatory education tend to underestimate effects. In C. A. Bennett & A. A. Lumsdaine (Eds.), Evaluations and experiment: Some critical issues in assessing social programs (pp. 195–296). New York: Academic Press.
Campbell, D. T., & Stanley, J. C. (1963). Experimental and quasi-experimental designs for research on teaching. In N. L. Gage (Ed.), Handbook of research on teaching (pp. 171–246). Chicago, IL: Rand McNally.
Cochran, W. G. (1983). Planning and analysis of observational studies. New York: Wiley.
Grabbe, J. W., & Allen, P.A. (2012). Cross-task compatibility and age-related dual-task performance. Experimental Aging Research, 38(1), 469–487.
Grabbe, J. W., & Allen, P.A. (2013). Age-related sparing of parafoveal lexical processing. Experimental Aging Research, 39(1), 419–444.
Grabbe, J., McCarthy, A., Brown, C., & Sabo, A. (2010). Olfaction and emotion content effects for memory of vignettes. Current Research in Psychology, 6(1), 53–60.
Hevner, A. R., S. T. March, et al. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75–105.
Imai, K., Tingley D., & Yamamoto, T. (2013). Experimental designs for identifying causal mechanisms. Journal of the Royal Statistical Society, 176(1), 5–51.
Jones, B. (2004). Perspectives on management research design and orientation: Quandaries and choices. The Electronic Journal of Business Research Methods, 2(1), 111–118.
Kish, L. (1975). Representation, randomization, and control. In H. M. Blalock, A. Aganbegian, F. M. Borodkin, R. Boudon, & V. Capecchi (Eds.), Quantitative sociology: International perspectives on mathematical and statistical modeling (pp. 261–284). New York: Academic Press.
Marais, H. (2012). A multi-methodological framework for the design and evaluation of complex research projects and reports in business and management studies. Electronic Journal of Business Research Methods, 10(2), 64–76.
Meyer, B. D. (1995). Natural and quasi-experiments in economics. Journal of Business & Economic Statistics, 13(2), 151–161.
Mohr, L. B. (1982). On rescuing the nonequivalent-control-group design. Sociological Methods & Research, 11(2), 53–80.
Pedhazur, E. J., & Schmelkin, L. P. (1991). Measurement, design and analysis: An integrated approach. Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers.
Sun, Y. & P. B. Kantor. (2006). Cross-evaluation: A new model for information system evaluation. Journal of the American Society for Information Science and Technology, 57(5), 614–628.
Venable, J. & Baskerville, R. (2012). Eating our own cooking: Toward a more rigorous design science of research methods. Electronic Journal of Business Research Methods, 10(2), 141–153.
Von Eye, A. (2008). Tractional factorial designs in the analysis of categorical data. Retrieved from http://interstat.statjournals.net/YEAR/2008/articles/0804003.pdf.
Yeaton, W. H., & Sechest, L. (1981). Critical dimensions in the choice and maintenance of successlul treatments: Strength, integrity, and effectiveness. Journal of Consulting and Clinical Psychology, 49(2), 156–167.
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© 2015 Kenneth D. Strang
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Grabbe, J.W. (2015). Implications of Experimental versus Quasi-Experimental Designs. In: Strang, K.D. (eds) The Palgrave Handbook of Research Design in Business and Management. Palgrave Macmillan, New York. https://doi.org/10.1057/9781137484956_10
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DOI: https://doi.org/10.1057/9781137484956_10
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