Abstract
Causal mapping is often recognized as a technique to support strategic decisions and actions in complex problem situations. Such drawing of causal structures is supposed to particularly foster the understanding of the interaction of the various system elements and to further encourage holistic thinking. It builds on the idea that humans make use of mental maps to represent their environment and to make predictions about it. However, a profound theoretical underpinning and empirical research of the effects of causal mapping on problem solving is missing. This study compares a causal mapping approach with more common problem solving techniques utilizing the standardized computer-simulated microworld Tailorshop. Results show that causal mapping leads to a worse performance in managing the Tailorshop and was not associated with increased knowledge about the underlying system’s structure. We conclude that the successful representation of the causal structure and the control of a complex scenario require the concerted interplay of cognitive skills that go beyond drawing causal maps.
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Barth, C. M., & Funke, J. (2010). Negative affective environments improve complex problem solving performance. Cognition and Emotion, 24(7), 1259–1268. doi:10.1080/02699930903223766.
Berry, D. C., & Broadbent, D. E. (1987). The combination of explicit and implicit learning processes in task control. Psychological Research, 49(1), 7–15.
Blech, C., & Funke, J. (2006). Zur Reaktivität von Kausaldiagramm-Analysen beim komplexen Problemlösen. Zeitschrift Für Psychologie, 214(4), 185–195. doi:10.1026/0044-3409.214.4.185.
Brown, S. M. (1992). Cognitive mapping and repertory grids for qualitative survey research: Some comparative observations. Journal of Management Studies, 29(3), 287–307. doi:10.1111/j.1467-6486.1992.tb00666.x.
Bryson, J. M., Ackermann, F., Eden, C., & Finn, C. B. (2004). Visible thinking: Unlocking causal mapping for practical business results. Hoboken: Wiley.
Clariana, R. B., Engelmann, T., & Yu, W. (2013). Using centrality of concept maps as a measure of problem space states in computer-supported collaborative problem solving. Educational Technology Research and Development, 61(3), 423–442.
Danner, D., Hagemann, D., Holt, D., Hager, M., Schankin, A., Wüstenberg, S., & Funke, J. (2011). Measuring performance in dynamic decision making. Journal of Individual Differences, 32(4), 225–233.
Dörner, D. (1997). The logic of failure. Recognizing and avoiding error in complex situations. New York: Basic Books.
Dörner, D., Kreuzig, H. W., Reither, F., & Stäudel, T. (1983). Lohhausen. Vom Umgang mit Unbestimmtheit und Komplexität. Bern: Huber.
Doyle, J. K. (1997). The cognitive psychology of systems thinking. System Dynamics Review, 13(3), 253–265. doi:10.1002/(SICI)1099-1727(199723)13:3<253:AID-SDR129>3.0.CO;2-H.
Doyle, J. K., & Ford, D. N. (1998). Mental models concepts for system dynamics research. System Dynamics Review, 14(1), 3–29. doi:10.1002/(SICI)1099-1727(199821)14:1<3:AID-SDR140>3.0.CO;2-K.
Doyle, J. K., & Ford, D. N. (1999). Mental models concepts revisited: some clarifications and a reply to Lane. System Dynamics Review, 15(4), 411–415. doi:10.1002/(SICI)1099-1727(199924)15:4<411:AID-SDR181>3.0.CO;2-R.
Eden, C. (1988). Cognitive mapping. European Journal of Operational Research, 36(1), 1–13. doi:10.1016/0377-2217(88)90002-1.
Eden, C., Ackermann, F., & Cropper, S. (1992). The analysis of cause maps. Journal of Management Studies, 29(3), 309–324. doi:10.1111/j.1467-6486.1992.tb00667.x.
Eden, C., & Huxham, C. (1988). Action-oriented strategic management. The Journal of the Operational Research Society, 39(10), 889–899. doi:10.2307/2583040.
Eden, C., Jones, S., & Sims, D. (1979). Thinking in organizations. New York: Macmillan.
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191.
Fiol, C. M., & Huff, A. S. (1992). Maps for managers: Where are we? Where do we go from here? Journal of Management Studies, 29(3), 267–285. doi:10.1111/j.1467-6486.1992.tb00665.x.
Forrester, J. W. (1961). Industrial dynamics. Portland: Productivity Press.
Frensch, P., & Funke, J. (1995). Complex problem solving: The European perspective. Hillsdale: Lawrence Erlbaum Associates.
Funke, J. (1983). Einige Bemerkungen zu Problemen der Problemlöseforschung oder: Ist Testintelligenz doch ein Prädiktor? Diagnostica, 29, 283–302.
Funke, J. (2001). Dynamic systems as tools for analysing human judgement. Thinking and Reasoning, 7(1), 69–89. doi:10.1080/13546780042000046.
Funke, J. (2003). Problemlösendes Denken. Stuttgart: Kohlhammer.
Funke, J. (2012). Complex problem solving. In N. M. Seel (Ed.), Encyclopedia of the sciences of learning (pp. 682–685). Heidelberg: Springer.
Gobert, J. D., & Clement, J. J. (1999). Effects of student generated diagrams versus student-generated summaries on conceptual understanding of causal and dynamic knowledge in plate tectonics. Journal of Research in Science Teaching, 36(1), 39–53. doi:10.1002/(SICI)1098-2736(199901)36:1<39:AID-TEA4>3.0.CO;2-I.
Huff, A. S. (Ed.). (2002). Mapping strategic knowledge. London: Sage publishing.
Hutchins, E. (1990). The technology of team navigation. In J. Galegher, R. E. Kraut, & C. Egido (Eds.), Intellectual teamwork: Social and technical bases of collaborative work (pp. 191–220). Hillsdale: Lawrence Erlbaum.
Hyerle, D. (2009). Visual tools for transforming information into knowledge. Thousand Oaks: Corwin Press.
Kersting, M. (1991). Wissensdiagnostik beim Problemlösen. Entwicklung und erste Bewährungskontrolle eines kontentvalide konstruierten problemspezifischen Wissenstests [Diploma Thesis]. Berlin: Freie Universität Berlin.
Kersting, M., & Süß, H. M. (1995). Kontentvalide Wissensdiagnostik und Problemlösen: Zur Entwicklung, testtheoretischen Begründung und empirischen Bewährung eines problemspezifischen Diagnoseverfahrens. Zeitschrift Für Pädagogische Psychologie, 9, 83–93.
Klocke, U. (2004). Folgen von Machtausübung und Einflussnahme für Wissenszuwachs und Effektivität in Kleingruppen. Berlin: dissertation.de.
Kluge, A. (2004). Wissenserwerb für das Steuern komplexer Systeme [Knowledge aquisition for the control of complex systems]. Lengerich: Pabst Science Publishers.
Kluwe, R. H. (1979). Wissen und Denken. Stuttgart: Kohlhammer.
Lane, D. C. (2008). The emergence and use of diagramming in system dynamics: a critical account. Systems Research and Behavioral Science, 25(1), 3–23. doi:10.1002/sres.826.
Larkin, J. H., & Simon, H. A. (1987). Why a diagram is (sometimes) worth ten thousand words. Cognitive Science, 11(1), 65–100. doi:10.1016/S0364-0213(87)80026-5.
Liepmann, D. (Ed.). (2007). Intelligenz-Struktur-Test 2000 R (2nd ed.). Göttingen: Hogrefe.
Lovett, M. C., & Anderson, J. R. (1996). History of success and current context in problem solving: Combined influences on operator selection. Cognitive Psychology, 31(2), 168–217.
Luchins, A. S. (1942). Mechanization in problem solving–the effect of Einstellung. Psychological Monographs, 54(248), 1–95.
Mayer, R. E., & Anderson, R. B. (1991). Animations need narrations: An experimental test of a dual-coding hypothesis. Journal of Educational Psychology, 83(4), 484–490. doi:10.1037/0022-0663.83.4.484.
Meyer, B., & Scholl, W. (2009). Complex problem solving after unstructured discussion: Effects of information distribution and experience. Group Processes and Intergroup Relations, 12(4), 495–515. doi:10.1177/1368430209105045.
Michie, S., & Abraham, C. (2004). Interventions to change health behaviours: Evidence-based or evidence-inspired? Psychology and Health, 19(1), 29–49. doi:10.1080/0887044031000141199.
Montibeller, G., & Belton, V. (2006). Causal maps and the evaluation of decision options: A review. The Journal of the Operational Research Society, 57(7), 779–791.
Newell, A., & Simon, H. A. (1972). Human problem solving. Englewood Cliffs: Prentice Hall.
Öllinger, M., & Goel, V. (2010). Problem Solving. In B. Glatzeder, V. Goel, & A. von Müller (Eds.), Towards a Theory of Thinking (pp. 3–21). Berlin-Heidelberg: Springer. Retrieved from http://dx.doi.org/10.1007/978-3-642-03129-8_1
Öllinger, M., Jones, G., & Knoblich, G. (2008). Investigating the effect of mental set on insight problem solving. Experimental Psychology, 55(4), 269–282.
Paivio, A. (1971). Imagery and cognitive processes. New York: Holt, Rinehart & Winston.
Paivio, A. (1986). Mental representations. A dual coding approach. New York: Oxford University Press.
Parmenides Foundation (2011). Parmenides Eidos Suite ® (Version 7.8) [computer software]
Plate, R. (2010). Assessing individuals’ understanding of nonlinear causal structures in complex systems. System Dynamics Review, 26(1), 19–33. doi:10.1002/sdr.432.
Preußler, W. (1998). Strukturwissen als Voraussetzung für die Steuerung komplexer dynamischer Systeme. Zeitschrift Für Experimentelle Psychologie, 45(3), 218–240.
Putz-Osterloh, W., & Lüer, G. (1991). Über die Vorhersagbarkeit komplexer Problemlöseleistungen durch Ergebnisse in einem Intelligenztest. Zeitschrift Für Experimentelle Und Angewandte Psychologie, 28, 309–334.
Reitman, W. R. (1964). Heuristic decision procedures, open constraints, and the structure of Ill-defined problems. In M. W. Shelly & G. L. Bryan (Eds.), Human judgments and optimality (pp. 282–315). New York: John Wiley and Sons.
Rigas, G., Carling, E., & Brehmer, B. (2002). Reliability and validity of performance measures in microworlds. Intelligence, 30(5), 463–480. doi:10.1016/S0160-2896(02)00121-6.
Scavarda, A. J., Bouzdin-Chameeva, T., Goldstein, S. M., Hays, J. M., & Hill, A. V. (2004). A review of the causal mapping practice and research literature. Presented at the Second World Conference on POM and 15th Annual POM Conference, Cancun, Mexico.
Shaft, T. M., & Vessey, I. (2006). The role of cognitive fit in the relationship between software comprehension and modification. MIS Quarterly, 30(1), 29–55.
Sterman, J. D. (2000). Business dynamics. Systems thinking and modeling for a complex world. Boston: McGraw-Hill.
Süß, H.-M. (1996). Intelligenz, Wissen und Problemlösen. Kognitive Voraussetzungen für erfolgreiches Handeln bei computersimulierten Problemen. Göttingen: Hogrefe.
Süß, H.-M., Kersting, M., & Oberauer, K. (1993). Zur Vorhersage von Steuerungsleistungen an computersimulierten Systemen durch Wissen und Intelligenz [On the predictability of control performance on computer-simulated systems by knowledge and intelligence]. Zeitschrift Für Differentielle Und Diagnostische Psychologie, 14, 189–203.
Van Meter, P., & Garner, J. (2005). The promise and practice of learner-generated drawing: Literature review and synthesis. Educational Psychology Review, 17(4), 285–325. doi:10.1007/s10648-005-8136-3.
Vessey, I. (1991). Cognitive fit: A theory-based analysis of the graphs versus tables literature. Decision Sciences, 22(2), 219–240. doi:10.1111/j.1540-5915.1991.tb00344.x.
White, L. (2006). Evaluating problem-structuring methods: Developing an approach to show the value and effectiveness of PSMs. The Journal of the Operational Research Society, 57(7), 842–855.
Wittmann, W., & Hattrup, K. (2004). The relationship between performance in dynamic systems and intelligence. Systems Research and Behavioral Science, 21(4), 393–409. doi:10.1002/sres.653.
Wittmann, W., Süß, H.-M., & Oberauer, K. (1996). Determinanten komplexen Problemlösens. Retrieved November 3, 2011, from www.psychologie.uni-mannheim.de/psycho2_alt/publi/ps/ber09.pdf
Zhang, J. (1997). The nature of external representations in problem solving. Cognitive Science, 21(2), 179–217. doi:10.1207/s15516709cog2102_3.
Zhang, J., & Norman, D. A. (1994). Representations in distributed cognitive tasks. Cognitive Science, 18(1), 87–122.
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The authors want to thank Dr. Daniel Holt, University of Heidelberg, for his help in providing and installing the Tailorshop microworld.
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Öllinger, M., Hammon, S., von Grundherr, M. et al. Does visualization enhance complex problem solving? The effect of causal mapping on performance in the computer-based microworld Tailorshop. Education Tech Research Dev 63, 621–637 (2015). https://doi.org/10.1007/s11423-015-9393-6
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DOI: https://doi.org/10.1007/s11423-015-9393-6