Skip to main content
SpringerLink
Log in

Laboratory Experiments of Configural Modeling

  • Chapter
  • First Online:
Incompetency and Competency Training

  • 709 Accesses

Abstract

This chapter provides an overview of the laboratory experiments in this study and outlines the numerous methodological considerations for the application of fsQCA, a modification the QCA method. A description of the in-basket simulations and decision aids used in the laboratory experiments is provided, followed by a, step-by-step description of the research procedure.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Alessi, S. M. (1988). Fidelity in the design of instructional simulations. Journal of Computer Based Instruction, 15(2), 40–47.

    Google Scholar 

  • Amenta, E., & Poulsen, J. D. (1994). Where to begin: A survey of five approaches to selecting independent measures for qualitative comparative analysis. Sociological Methods and Research, 23(1), 22–53. doi:10.1177/1525822X03257689.

    Article  Google Scholar 

  • Anderson, P. H., Cannon, H. M., Malik, D., & Thavikulwat, P. (1988). Games as instuments of assessment: A framework for evaluation. Development in Business Simulation and Experiential Learning, 25, 31–37.

    Google Scholar 

  • Anderson, G. L., & Herr, K. (1999). The new paradigm wars: Is there room for rigorous practitioner knowledge in schools and universities? Educational Researcher, 28(5), 12–21.

    Article  Google Scholar 

  • Anderson, P. H., & Lawton, L. (2009). Business simulations and cognitive learning: Developments, desires and future directions. Simulation and Gaming, 40(2), 193–216. doi:10.1177/1046878108321624.

    Article  Google Scholar 

  • Armstrong, J. S. (1991). Prediction of consumer behavior by experts and novices. Journal of Consumer Research, 18(2), 251–256.

    Article  Google Scholar 

  • Armstrong, J. S. (2006). Findings from evidence-based forecasting: methods for reducing forecast error. International Journal of Forecasting, 22, 583–598.

    Article  Google Scholar 

  • Armstrong, J. S., & Brodie, R. J. (1994). Effects of portfolio planning methods on decision-making: Experimental results. International Journal of Research in Marketing, 11(1), 73–84.

    Article  Google Scholar 

  • Berg-Schlosser, D., & De Meur, G. (2009). Comparative research design: Case and variable selection. In B. Rihoux & C. C. Ragin (Eds.), Configurational comparative methods: Qualitative comparative analysis (QCA) and related techniques (pp. 19–32). Thousand Oaks, CA: Sage.

    Chapter  Google Scholar 

  • Bloom, B. S. (1956). Taxonomy of educational objectives: The cognitive domain. New York: David McKay.

    Google Scholar 

  • Bredemeier, M. E., & Greenblat, C. S. (1981). The educational effectiveness of simulation games. Simulation and Games, 12(3), 307–332. doi:10.1177/104687818101200304.

    Article  Google Scholar 

  • Burns, R. B., & Burns, R. A. (2008). Business research methods and statistics using SSPS. London: Sage.

    Google Scholar 

  • Byrne, D., & Ragin, C. C. (2009). The Sage handbook of case-based methods. London: Sage.

    Book  Google Scholar 

  • Campbell, D. T. (1957). Factors relevant to the validity of experiments in social settings. Psychological Bulletin, 54(4), 297–312. doi:10.1037/h0040950.

    Article  Google Scholar 

  • Campbell, D. T., & Stanley, J. C. (1963). Experimental and quasi-experimental designs for research on teaching. In N. L. Gage (Ed.), Handbook on research on teaching (pp. 171–246). Chicago: Rand McNally.

    Google Scholar 

  • Campbell, D. T., & Stanley, J. C. (1966). Experimental and quasi-experimental design for research. Chicago: Rand McNally.

    Google Scholar 

  • Cannon, H. M. (1995). Dealing with the complexity paradox in business simulation games. Developments in Business Simulation & Experiential Exercises, 22, 97–103.

    Google Scholar 

  • Cannon, H. M., & Burns, A. C. (1999). A framework for assessing the competencies reflected in simulation performance. Developments in Business Simulation & Experiential Exercises, 26, 40–44.

    Google Scholar 

  • Cohen, L., & Manion, L. (1994). Research methods in education. London: Routledge.

    Google Scholar 

  • Cohen, L., Manion, L., & Morrison, K. (2000). Research methods in education. New York: Routledge Falmer.

    Book  Google Scholar 

  • Cook, T. D., & Campbell, D. T. (1979). Quasi-experimentation: Design and analysis for field settings. Boston: Houghton Mifflin.

    Google Scholar 

  • Cox, E. P. (1980). The optimal number of response alternatives for a scale: A review. Journal of Marketing Research, 17(4), 407–422. doi:10.2307/3150495.

    Article  Google Scholar 

  • de Bono, E. (1976). Teaching thinking. England: Penguin Books.

    Google Scholar 

  • Dimitrov, D. M., & Rumrill, P. D. (2003). Pretest-posttest designs and measurement of change. Work, 20, 159–165. Speaking of research. IOS Press.

    Google Scholar 

  • Feinstein, A. H., & Cannon, H. M. (2002). Constructs of simulation evaluation. Simulation and Gaming, 33(4), 425–440. doi:10.1177/1046878102238606.

    Article  Google Scholar 

  • Fielding, N., & Warnes, R. (2009). Computer-based qualitative methods in case study research. In D. Byrne & C. C. Ragin (Eds.), Sage handbook of case-based methods (pp. 271–288). London: Sage.

    Google Scholar 

  • Fiss, P. C. (2009). Practical issues in QCA. Professional development workshop on Qualitative Comparative Analysis (QCA) conducted at the meeting of the Academy of Management. http://www-bcf.usc.edu/~fiss/QCA_PDW_2009_Fiss_Practical_Issues.pdf

  • Fiss, P. C. (2011). Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of Management Journal, 54(2), 393–420.

    Article  Google Scholar 

  • Gigerenzer, G., & Brighton, H. (2009). Homo Heuristicus: Why biased minds make better inferences. Topics in Cognitive Science, 1, 107–143. doi:10.1111/j.1756-8765.2008.01006.x.

    Article  Google Scholar 

  • Gigerenzer, G., & Gaissmaier, W. (2011). Heuristic decision making. Annual Review of Psychology, 62(1), 451–482. doi:10.1146/annurev-psych-120709-145346.

    Article  Google Scholar 

  • Gigerenzer, G., & Goldstein, D. G. (1996). Reasoning the fast and frugal way: Models of bounded rationality. Psychological Review, 103(4), 650–669. doi:10.1037/0033-295x.103.4.650.

    Article  Google Scholar 

  • Gosen, J., & Washbush, J. (2004). A review of the scholarship on assessing experiential learning effectiveness. Simulation and Gaming, 35(2), 270–293. doi:10.1177/1046878104263544.

    Article  Google Scholar 

  • Green, K. C. (2002). Forecasting decisions in conflict situations: A comparison of game theory, role-playing and unaided judgment. International Journal of Forecasting, 18, 321–344.

    Article  Google Scholar 

  • Green, K. C. (2005). Game theory, simulated interaction, and unaided judgment for forecasting decisions in conflicts: Further evidence. International Journal of Forecasting, 21(3), 463–472. doi:10.1016/j.ijforecast.2005.02.006.

    Article  Google Scholar 

  • Gross, M. E. (2010). Aligning public-private partnership contracts with public objectives for transportation infrastructure. PhD thesis. Virginia Technicon, Virginia, VA. http://scholar.lib.vt.edu.ezproxy.aut.ac.nz/theses/available/etd-08242010-173605/unrestricted/Gross_ME_D_2010.pdf

  • Hays, R. T., & Singer, M. J. (1989). Simulation fidelity in training systems design: Bridging the gap between reality and training. New York: Springer.

    Book  Google Scholar 

  • Jordan, E., Gross, M. E., Javernick-Will, A. M., & Garvin, M. J. (2011). Use and misuse of qualitative comparative analysis. Construction Management and Economics, 29(11), 1159–1173. doi:10.1080/01446193.2011.640339.

    Article  Google Scholar 

  • Kaplan, A. (1967). A philosophical discussion of normality. Archives of General Psychiatry, 17(3), 325–330.

    Article  Google Scholar 

  • Kent, R. (2009). Case-centred methods and quantitative analysis. In D. Bryne & C. C. Ragin (Eds.), The Sage handbook of case-based methods. London: Sage.

    Google Scholar 

  • Kibbee, J. M. (1961). Model building for management games. Paper presented at the meeting of the Simulation and gaming: A symposium, New York.

    Google Scholar 

  • Likert, R. (1932). A technique for the measurement of attitude. Archives of Psychology, 140, 1–55.

    Google Scholar 

  • Marx, A. (2006). Toward more robust model specification in QCA. Results from a methodological experiment (Compasss Working Paper, WP2006-43).

    Google Scholar 

  • McClelland, D. C. (1998). Identifying competencies with behavioral-event interviews. Psychological Science, 9(5), 331–339. doi:10.1111/1467-9280.00065.

    Article  Google Scholar 

  • Newton, P., & Burgess, D. (2008). Exploring types of educational action research: Implication for research validity. International Journal of Qualitative Methods, 7(4), 18–30.

    Google Scholar 

  • Norris, D. R. (1986). External validity of business games. Simulation and Games, 17(4), 447–459.

    Article  Google Scholar 

  • Parasuraman, A. (1981). Assesing the worth of business simulation games: Problems and Prospects. Simulation and Games, 12(2), 189–200.

    Article  Google Scholar 

  • Peter, P. J. (1981). Construct validity: A review of basic issues and marketing practices. Journal of Marketing Research, 18(2), 133–145.

    Article  Google Scholar 

  • Pierfy, D. (1977). Comparative simulation game research: Stumbling blocks and stepping stones. Simulation and Games, 8(2), 255–268. doi:10.1177/003755007782006.

    Article  Google Scholar 

  • Ragin, C. C. (1987). The comparative method: Moving beyond qualitative and quantitative Strategies. Berkeley, CA: University of California Press.

    Google Scholar 

  • Ragin, C. C. (1994). Constructing social research. Thousand Oaks, CA: Pine Forge Press.

    Google Scholar 

  • Ragin, C. C. (2000). Fuzzy-set social science. Chicago: University of Chicago Press.

    Google Scholar 

  • Ragin, C. C. (2004). Redesigning social inquiry [Slide-show PPT]. http://eprints.ncm.ac.uk/379/1/RSDI-RMF.pdf

  • Ragin, C. C. (2006a). How case-orientated research challenges variable-orientated research. Comparative Social Research, 16, 27–42.

    Google Scholar 

  • Ragin, C. C. (2006b). The limitations of net-effect thinking. In B. Rihoux & H. Grimm (Eds.), Innovative comparative methods for policy analysis. Beyond the quantitative-qualitative divide (pp. 13–41). New York: Springer.

    Chapter  Google Scholar 

  • Ragin, C. C. (2006c). Set relations in social research: Evaluating their consistency and coverage. Political Analysis, 14(3), 291–310. doi:10.1093/pan/mpj019.

    Article  Google Scholar 

  • Ragin, C. C. (2007a). Fuzzy sets: Calibration versus measurement. In J. M. Box-Steffensmeier, H. E. Brady, & D. Collier (Eds.), The Oxford handbook of political methodology. http://toktok.persiangig.com/other/Calibration%20fuzzy%20measurement.pdf

  • Ragin, C. C. (2007b). Qualitative comparative analysis using fuzzy-sets (fsQCA). In B. Rihoux & C. C. Ragin (Eds.), Configurational comparative analysis. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Ragin, C. C. (2008a). Online tutorial: Qualitative comparative analysis and fuzzy sets. http://www.fsqca.com

  • Ragin, C. C. (2008b). Redesigning social inquiry. London: University of Chicago Press.

    Google Scholar 

  • Ragin, C. C. (2008c). Redesigning social inquiry: Fuzzy sets and beyond. Chicago: University of Chicago Press.

    Google Scholar 

  • Ragin, C. C. (2008d). What is qualitative comparative analysis (QCA)? Symposium conducted at the meeting of the 3rd ESRC Research Methods Festival. Retrieved May 5, 2010, from http://eprints.ncrm.ac.uk/250/1/What_is_QCA.pdf

  • Ragin, C. C. (2009). Qualitative comparative analysis using fuzzy sets (fsQCA). In B. Rihoux & C. Ragin (Eds.), Configurational comparative methods: Qualitative comparative analysis (QCA) and related techniques. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Ragin, C. C., & Rihoux, B. (2004). Qualitative comparative analysis (QCA): State of the art and prospects. Qualitative Methods Newsletter of the American Political Science Association Organized Section on Qualitative Methods, 2(2), 3–13.

    Google Scholar 

  • Rihoux, B. (2006). Qualitative comparative analysis (QCA) and related systematic comparative methods: Recent advances and remaining challenges for social science research. International Sociology, 21(5), 679–706. doi:10.1177/0268580906067836.

    Article  Google Scholar 

  • Rihoux, B., & De Meur, G. (2009). Crisp-set qualitative comparative analysis (csQCA). In B. Rihoux & C. C. Ragin (Eds.), Configurational comparative methods: Qualitative comparative analysis (QCA) and related techniques (pp. 33–68). Thousand Oaks, CA: Sage.

    Chapter  Google Scholar 

  • Rihoux, B., & Lobe, B. (2008). The case for qualitative comparative analysis (QCA): Adding leverage for thick cross-case comparison. In D. Byrne & C. C. Ragin (Eds.), The Sage handbook of case-based methods (pp. 222–242). Thousand Oaks, CA: Sage.

    Google Scholar 

  • Rihoux, B., & Ragin, C. C. (2009). Configurational comparative methods. London: Sage.

    Google Scholar 

  • Salmon, P. (2003). How do we recognize good research? The Psychologist, 16(1), 24–27.

    Google Scholar 

  • Schank, R. C., Berhman, T. R., & Macpherson, K. A. (1999). Learning by doing. In C. M. Reigeluth (Ed.), Instructional-design theories and models: A new paradigm of instructional theory. Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Schank, R. C., Fano, A., Jona, M., & Bell, B. (1993). The design of goal-based scenarios. Evanston, IL: Northwestern University Press.

    Google Scholar 

  • Spanier, N. (2011). Competence and incompetence training, impact on executive decision-making capability: Advancing theory and testing. Doctoral thesis. Auckland University of Technology, Auckland, New Zealand.

    Google Scholar 

  • Wagemann, C., & Schneider, C. Q. (2007). Standards of good practice in qualitative comparative analysis (QCA) and fuzzy sets. Compasss working paper, WP2007-51.

    Google Scholar 

  • Wolfe, J. (1976). Correlates and measures of the external validity of computer-based business policy decision-making environments. Simulation and Games, 7, 411–438. doi:10.1177/003755007674003.

    Article  Google Scholar 

  • Wolfe, J. (1985). The teaching effectiveness of games in collegiate business schools. Simulation and Games, 16, 251–288.

    Article  Google Scholar 

  • Wolfe, J., & Roberts, C. R. (1986). The external validity of a business management game: A five-year longitudinal study. Simulation and Games, 17, 45–59. doi:10.1177/0037550086171004.

    Article  Google Scholar 

  • Woodside, A. G. (1990). Outdoor advertising as experiments. Journal of the Academy of Marketing Science, 18(3), 229–237. doi:10.1177/009207039001800305.

    Article  Google Scholar 

  • Woodside, A. G. (2010). Principles of case study research. Boston: Boston College, Carroll School of Business. http://gfa2010.univie.ac.at/fileadmin/user_upload/GFKconference/GFA2010/documents/jbr/JBR-example.pdf.

    Google Scholar 

  • Woodside, A. G. (2011a). Case study research: Theory, methods, practice. Bingley, England: Emerald Group.

    Google Scholar 

  • Woodside, A. G. (2011b). Responding to the severe limitations of cross-sectional surveys: Commenting on Rong and Wilkinson’s perspectives. Australasian Marketing Journal, 19(3), 153–156. doi:10.1016/j.ausmj.2011.04.004.

    Article  Google Scholar 

  • Woodside, A. G. (2012). Incompetency training: Theory, practice and remedies. Journal of Business Research, 65, 279–293. doi:10.1016/j.jbusres.2011.10.025.

    Article  Google Scholar 

  • Woodside, A. G. (2013). Moving beyond multiple regression analysis to algorithms: Calling of adoption of a paradigm shift from symmetric to asymmetric thinking in data analysis and crafting theory. Journal of Business Research, 10. doi:10.1016/j.jbusres.2012.12.02

  • Woodside, A. G., Hsu, S., & Marshall, R. (2010). General theory of cultures’ consequences on international tourism behavior. Journal of Business Research, 64(8), 785–799.

    Article  Google Scholar 

  • Woodside, A. G., & Zhang, M. (2012). Identifying X-consumers using causal recipes: “Whales” and “Jumbo Shrimps” Casino Gamblers. Journal of Gambling Studies, 28(1), 13–26. doi:10.1007/s10899-011-9241-5.

    Article  Google Scholar 

  • Wright, B. D. (1999). Fundamental measurement for psychology. In S. Embretson & S. Hershberger (Eds.), The new rules of measurement. NJ: Lawrence Erlbaum.

    Google Scholar 

  • Yamasaki, S., & Rihoux, B. (2009). A commented review of applications. In B. Rihoux & C. C. Ragin (Eds.), Configurational comparative methods: Qualitative Comparative Analysis (QCA) and related techniques (pp. 123–146). Thousand Oaks, CA: Sage.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Boston College, Chestnut Hill, Massachusetts, USA

    Arch Woodside

  2. Department of Marketing, University of Waikato, Hamilton, New Zealand

    Rouxelle de Villiers

  3. Department of Marketing, Advertising, Retailing & Sales, Auckland University of Technology, Auckland, New Zealand

    Roger Marshall

Authors
  1. Arch Woodside
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Rouxelle de Villiers
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Roger Marshall
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Woodside, A., de Villiers, R., Marshall, R. (2016). Laboratory Experiments of Configural Modeling. In: Incompetency and Competency Training. Springer, Cham. https://doi.org/10.1007/978-3-319-39108-3_4

Download citation

Publish with us

Policies and ethics

Search

Navigation