Book contents
- The Cambridge Handbook of Expertise and Expert Performance
- The Cambridge Handbook of Expertise and Expert Performance
- Copyright page
- Contents
- Notes on Contributors
- Acknowledgments
- Part I Introduction and Perspectives
- Part II Overview of Approaches to the Study of Expertise: Brief Historical Accounts of Theories and Methods
- Part III Methods for Studying the Structure of Expertise
- Part IV Methods for Studying the Acquisition and Maintenance of Expertise
- 15 Collecting and Assessing Practice Activity Data: Concurrent, Retrospective, and Longitudinal Approaches
- 16 Multidisciplinary Longitudinal Studies: A Perspective from the Field of Sports
- 17 Using Cases to Understand Expert Performance: Method and Methodological Triangulation
- 18 Historiometric Methods
- Part V.I Domains of Expertise: Professions
- Part V.II Domains of Expertise: Arts, Sports, Games, and Other Skills
- Part VI Generalizable Mechanisms Mediating Types of Expertise
- Part VII General Issues and Theoretical Frameworks
- Index of Subjects
- References
17 - Using Cases to Understand Expert Performance: Method and Methodological Triangulation
from Part IV - Methods for Studying the Acquisition and Maintenance of Expertise
Published online by Cambridge University Press: 10 May 2018
Book contents
- The Cambridge Handbook of Expertise and Expert Performance
- The Cambridge Handbook of Expertise and Expert Performance
- Copyright page
- Contents
- Notes on Contributors
- Acknowledgments
- Part I Introduction and Perspectives
- Part II Overview of Approaches to the Study of Expertise: Brief Historical Accounts of Theories and Methods
- Part III Methods for Studying the Structure of Expertise
- Part IV Methods for Studying the Acquisition and Maintenance of Expertise
- 15 Collecting and Assessing Practice Activity Data: Concurrent, Retrospective, and Longitudinal Approaches
- 16 Multidisciplinary Longitudinal Studies: A Perspective from the Field of Sports
- 17 Using Cases to Understand Expert Performance: Method and Methodological Triangulation
- 18 Historiometric Methods
- Part V.I Domains of Expertise: Professions
- Part V.II Domains of Expertise: Arts, Sports, Games, and Other Skills
- Part VI Generalizable Mechanisms Mediating Types of Expertise
- Part VII General Issues and Theoretical Frameworks
- Index of Subjects
- References
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- The Cambridge Handbook of Expertise and Expert Performance , pp. 291 - 309Publisher: Cambridge University PressPrint publication year: 2018
References
Barrett, J. D., Vessey, W. B., Griffith, J. A., Mracek, D., & Mumford, M. D. (2014). Predicting scientific creativity: The role of adversity, collaborations, and work strategies. Creativity Research Journal, 26, 39–52.Google Scholar
Baughman, W. A., & Mumford, M. D. (1995). Process-analytic models of creative capacities: Operations influencing the combination-and-reorganization process. Creativity Research Journal, 8, 37–62.Google Scholar
Bedell-Avers, K., Hunter, S. T., Angie, A. D., Eubanks, D. L., & Mumford, M. D. (2009). Charismatic, ideological, and pragmatic leaders: An examination of leader–leader interactions. The Leadership Quarterly, 20, 299–315.Google Scholar
Bedell-Avers, K., Hunter, S. T., & Mumford, M. D. (2008). Conditions of problem-solving and the performance of charismatic, ideological, and pragmatic leaders: A comparative experimental study. The Leadership Quarterly, 19, 89–106.Google Scholar
Bligh, M. C., & Hess, G. D. (2007). The power of leading subtly: Alan Greenspan, rhetorical leadership, and monetary policy. The Leadership Quarterly, 18, 87–104.Google Scholar
Byrne, C. L., Shipman, A. S., & Mumford, M. D. (2010). The effects of forecasting on creative problem-solving: An experimental study. Creativity Research Journal, 22, 119–138.Google Scholar
Carlson, W. B., & Gorman, M. E. (1992). A cognitive framework to understand technological creativity: Bell, Edison, and the telephone. In Weber, R. J. & Perkins, D. N. (eds.), Inventive minds: Creativity in technology (pp. 48–79). Oxford University Press.Google Scholar
Charness, N., Tuffiash, M., Krampe, R., Reingold, E., & Vasyukova, E. (2005). The role of deliberate practice in chess expertise. Applied Cognitive Psychology, 19, 151–165.Google Scholar
Chi, M. T. H., Feltovich, P. J., & Glaser, R. (1981). Categorization and representation of physics problems by experts and novices. Cognitive Science, 5, 121–152.CrossRefGoogle Scholar
Crouch, T. D. (1992). Why Wilbur and Orville? Some thoughts on the Wright brothers and the process of innovation. In Weber, R. J. & Perkins, D. N. (eds.), Inventive minds: Creativity in technology (pp. 80–97). Oxford University Press.Google Scholar
Dailey, L., & Mumford, M. D. (2006). Evaluative aspects of creative thought: Errors in appraising the implications of new ideas. Creativity Research Journal, 18, 367–384.Google Scholar
de Groot, A. (1978). Thought and choice in chess (2nd edn.). The Hague: Mouton. (Original work published 1946)Google Scholar
Dinh, J. E., Lord, R. G., Gardner, W. L., Meuser, J. D., Liden, R. C., & Hu, J. (2014). Leadership theory and research in the new millennium: Current theoretical trends and changing perspectives. The Leadership Quarterly, 25, 36–62.Google Scholar
Dörner, D., & Schaub, H. (1994). Errors in planning and decision-making and the nature of human information processing. Applied Psychology: An International Review, 43, 433–453.Google Scholar
Dougherty, D., & Hardy, C. (1996). Sustained product innovation in large, mature organizations: Overcoming innovation-to-organization problems. Academy of Management Journal, 39, 1120–1153.Google Scholar
Dunbar, K. (1995). How do scientists really reason? Scientific reasoning in real-world laboratories. In Sternberg, R. J. & Davidson, J. E. (eds.), The nature of insight (pp. 365–396). Cambridge, MA: MIT Press.Google Scholar
Ericsson, K. A., & Simon, H. A. (1984). Protocol analysis: Verbal reports as data. Cambridge, MA: MIT Press.Google Scholar
Ericsson, K. A., & Smith, J. (1991). Toward a general theory of expertise: Prospects and limits. Cambridge University Press.Google Scholar
Eubanks, D. L., Antes, A. L., Friedrich, T. L., Caughron, J. J., Blackwell, L. V., Bedell-Avers, K., & Mumford, M. D. (2010). Criticism and outstanding leadership: An evaluation of leader reactions and critical outcomes. The Leadership Quarterly, 21, 365–388.Google Scholar
Friedrich, T. L., Vessey, W. B., Schuelke, M. J., Mumford, M. D., Yammarino, F. J., & Ruark, G. A. (2014). Collectivistic leadership and George C. Marshall: A historiometric analysis of career events. The Leadership Quarterly, 25, 449–467.Google Scholar
Friedrich, T. L., Vessey, W. B., Schuelke, M. J., Ruark, G. A., & Mumford, M. D. (2009). A framework for understanding collective leadership: The selective utilization of leader and team expertise within networks. The Leadership Quarterly, 20, 933–958.Google Scholar
Gergen, K. J., Josselson, R., & Freeman, M. (2015). The promises of qualitative inquiry. American Psychologist, 70, 1–9.Google Scholar
Haun, L., Laurence, V., & Snyder, T. (2002). Habitat for humanity: How to build a house. Newton, CT: Taunton Press.Google Scholar
Hershey, D. A., Walsh, D. A., Read, S. J., & Chulef, A. S. (1990). The effects of expertise on financial problem solving: Evidence for goal-directed, problem-solving scripts. Organizational Behavior and Human Decision Processes, 46, 77–101.Google Scholar
Hester, K. S., Robledo, I. C., Barrett, J. D., Peterson, D. R., Hougen, D. P., Day, E. A., & Mumford, M. D. (2012). Causal analysis to enhance creative problem-solving: Performance and effects on mental models. Creativity Research Journal, 24, 115–133.Google Scholar
Hunt, E. B. (2009). Revolutions, leaders, and diagnosticians: Reflections on the themes in chapters 2–4. In Ericsson, K. A. (ed.), Development of professional expertise: Toward measurement of expert performance and design of optimal learning environments (pp. 108–130). Cambridge University Press.Google Scholar
Hunter, S. T., Bedell-Avers, K., & Mumford, M. D. (2009). Impact of situational framing and complexity on charismatic, ideological and pragmatic leaders: Investigation using a computer simulation. The Leadership Quarterly, 20, 383–404.Google Scholar
Hunter, S. T., Cushenbery, L., Thoroughgood, C., Johnson, J. E., & Ligon, G. S. (2011). First and ten leadership: A historiometric investigation of the CIP leadership model. The Leadership Quarterly, 22, 70–91.Google Scholar
Isaacson, W. (2014). The innovators: How a group of hackers, geniuses, and geeks created the digital revolution. New York: Simon & Schuster.Google Scholar
Isenberg, D. J. (1986). Thinking and managing: A verbal protocol analysis of managerial problem solving. Academy of Management Journal, 29, 775–788.Google Scholar
Jiang, M., & Thagard, P. (2014). Creative cognition in social innovation. Creativity Research Journal, 26, 375–388.Google Scholar
Kanigel, R. (1997). Taylor‐made: How the world’s first efficiency expert refashioned modern life in his own image. The Sciences, 37, 18–23.Google Scholar
Lajoie, S. P. (2009). Developing professional expertise with a cognitive apprenticeship model: Examples from avionics and medicine. In Ericsson, K. A. (ed.), Development of professional expertise: Toward measurement of expert performance and design of optimal learning environments (pp. 61–83). Cambridge University Press.Google Scholar
Ligon, G. S., Hunter, S. T., & Mumford, M. D. (2008). Development of outstanding leadership: A life narrative approach. The Leadership Quarterly, 19, 312–334.Google Scholar
Marcy, R. T., & Mumford, M. D. (2007). Social innovation: Enhancing creative performance through casual analysis. Creativity Research Journal, 19, 123–140.Google Scholar
Marcy, R. T., & Mumford, M. D. (2010). Leader cognition: Improving leader performance through causal analysis. The Leadership Quarterly, 21, 1–19.Google Scholar
Marta, S., Leritz, L. E., & Mumford, M. D. (2005). Leadership skills and the group performance: Situational demands, behavioral requirements, and planning. The Leadership Quarterly, 16, 97–120.Google Scholar
Maslin-Wicks, K. (2007). Forsaking transformational leadership: Roscoe Conkling, the great senator from New York. The Leadership Quarterly, 18, 463–476.Google Scholar
Medeiros, K. E., Partlow, P. J., & Mumford, M. D. (2014). Not too much, not too little: The influence of constraints on creative problem solving. Psychology of Aesthetics, Creativity, and the Arts, 8, 198–210.Google Scholar
Mumford, M. D. (2002). Social innovation: Ten cases from Benjamin Franklin. Creativity Research Journal, 14, 253–266.Google Scholar
Mumford, M. D. (2006). Pathways to outstanding leadership: A comparative analysis of charismatic, ideological, and pragmatic leaders. Mahwah, NJ: Erlbaum.Google Scholar
Mumford, M. D., Antes, A. L., Caughron, J. J., & Friedrich, T. L. (2008). Charismatic, ideological, and pragmatic leadership: Multi-level influences on emergence and performance. The Leadership Quarterly, 19, 144–160.Google Scholar
Mumford, M. D., Baughman, W. A., Supinski, E. P., & Maher, M. A. (1996). Process-based measures of creative problem-solving skills: II. Information encoding. Creativity Research Journal, 9, 77–88.Google Scholar
Mumford, M. D., Connelly, M. S., Scott, G., Espejo, J., Sohl, L. M., Hunter, S. T., & Bedell, K. E. (2005). Career experiences and scientific performance: A study of social, physical, life, and health sciences. Creativity Research Journal, 17, 105–129.Google Scholar
Mumford, M. D., Espejo, J., Hunter, S. T., Bedell-Avers, K., Eubanks, D. L., & Connelly, S. (2007). The sources of leader violence: A comparison of ideological and non-ideological leaders. The Leadership Quarterly, 18, 217–235.Google Scholar
Mumford, M. D., Friedrich, T. L., Caughron, J. J., & Antes, A. L. (2009). Leadership development and assessment: Describing and rethinking the state of the art. In Ericsson, K. A. (ed.), Development of professional expertise: Toward measurement of expert performance and design of optimal learning environments (pp. 84–107). Cambridge University Press.Google Scholar
Mumford, M. D., & Mecca, J. (2013). Addendum: Vision and mental models – A decade later. In Avolio, B. J. & Yammarino, F. J. (eds.), Transformational and charismatic leadership: The road ahead (2nd edn.) (pp. 159–164). Bingley: Emerald Group.Google Scholar
Mumford, M. D., & Moertl, P. (2003). Cases of social innovation: Lessons from two innovations in the 20th century. Creativity Research Journal, 15, 261–266.Google Scholar
Mumford, M. D., Peterson, D., & Robledo, I. (2013). Leading scientists and engineers: Cognition in a socio-technical context. In Hemlin, S., Allwood, C. M., Martin, B. R., & Mumford, M. D. (eds.), Creativity and leadership in science, technology, and innovation (pp. 29–58). New York: Routledge.Google Scholar
O’Connor, J., Mumford, M. D., Clifton, T. C., Gessner, T. L., & Connelly, M. S. (1995). Charismatic leaders and destructiveness: An historiometric study. The Leadership Quarterly, 6, 529–555.Google Scholar
Pant, P. N., & Starbuck, W. H. (1990). Innocents in the forest: Forecasting and research methods. Journal of Management, 16, 433–460.Google Scholar
Parry, K., Mumford, M. D., Bower, I., & Watts, L. L. (2014). Qualitative and historiometric methods in leadership research: A review of the first 25 years of The Leadership Quarterly. The Leadership Quarterly, 25, 132–151.Google Scholar
Pillemer, D. B. (1998). Momentous events, vivid memories: How unforgettable moments help us understand the meaning of our lives. Cambridge, MA: Harvard University Press.Google Scholar
Ramey, C. H., & Weisberg, R. W. (2004). The “poetical activity” of Emily Dickinson: A further test of the hypothesis that affective disorders foster creativity. Creativity Research Journal, 16, 173–185.Google Scholar
Rich, J. D., & Weisberg, R. W. (2004). Creating All In The Family: A case study in creative thinking. Creativity Research Journal, 16, 247–259.Google Scholar
Robledo, I. C., Hester, K. S., Peterson, D. R., Barrett, J. D., Day, E. A., Hougen, D. P., & Mumford, M. D. (2012). Errors and understanding: The effects of error-management training on creative problem-solving. Creativity Research Journal, 24, 220–234.Google Scholar
Rouse, W. B., & Morris, N. M. (1986). On looking into the black box: Prospects and limits in the search for mental models. Psychological Bulletin, 100, 349–363.Google Scholar
Schreiber, B. T., Bennett, W. Jr., Colegrove, C. M., Portrey, A. M., Greschke, D. A., & Bell, H. H. (2009). Evaluating pilot performance. In Ericsson, K. A. (ed.), Development of professional expertise: Toward measurement of expert performance and design of optimal learning environments (pp. 247–270) Cambridge University Press.Google Scholar
Shipman, A. S., Byrne, C. L., & Mumford, M. D. (2010). Leader vision formation and forecasting: The effects of forecasting extent, resources, and timeframe. The Leadership Quarterly, 21, 439–456.Google Scholar
Simonton, D. K. (2015). Thomas Edison’s creative career: The multilayered trajectory of trials, errors, failures, and triumphs. Psychology of Aesthetics, Creativity, and the Arts, 9, 2–14.Google Scholar
Stierand, M., & Dörfler, V. (2016). The role of intuition in the creative process of expert chefs. Journal of Creative Behavior, 50, 178–185.Google Scholar
Stokes, P. D. (2008). Creativity from constraints: What can we learn from Motherwell? From Modrian? From Klee? Journal of Creative Behavior, 42, 223–236.Google Scholar
Stokes, P. D. (2009). Using constraints to create novelty: A case study. Psychology of Aesthetics, Creativity, and the Arts, 3, 174–180.Google Scholar
Stokes, P. D., & Fisher, D. (2005). Selection, constraints, and creativity case studies: Max Beckmann and Philip Guston. Creativity Research Journal, 17, 283–291.Google Scholar
Vessey, W. B., Barrett, J. D., Mumford, M. D., Johnson, G., & Litwiller, B. (2014). Leadership of highly creative people in highly creative fields: A historiometric study of scientific leaders. The Leadership Quarterly, 25, 672–691.Google Scholar
Weber, R. J., & Perkins, D. N. (1992). Inventive minds: Creativity in technology. Oxford University Press.Google Scholar
Weick, K. E. (1998). Introductory essay: Improvisation as a mindset for organizational analysis. Organization Science, 9, 543–555.Google Scholar
Weisberg, R. W. (2011). Frank Lloyd Wright’s Fallingwater: A case study in inside-the-box creativity. Creativity Research Journal, 23, 296–312.Google Scholar
Xiao, Y., Milgram, P., & Doyle, D. J. (1997). Capturing and modeling planning expertise in anesthesiology: Results of a field study. In Zsambok, C. E. & Klein, G. (eds.), Naturalistic decision making. (pp. 197–205) Hillsdale, NJ: Erlbaum.Google Scholar
Yammarino, F. J., Mumford, M. D., Serban, A., & Shirreffs, K. (2013). Assassination and leadership: Traditional approaches and historiometric methods. The Leadership Quarterly, 24, 822–841.Google Scholar
Yammarino, F. J., Mumford, M. D., Vessey, W. B., Friedrich, T. L., Ruark, G. A., & Brunner, J. M. (2010a). Collective leadership measurement for the U.S. Army. Technical Report, Contract No. W91WAW-09-C-0090. Arlington, VA: U.S. Army Research Institute for the Behavioral and Social Sciences.Google Scholar
Yammarino, F. J., Mumford, M. D., Vessey, W. B., Friedrich, T. L., Ruark, G. A., & Brunner, J. M. (2010b). Collective leadership measurement for the U.S. Army: Measures. Research Note, Contract No. W91WAW-09-C-0090. Arlington, VA: U.S. Army Research Institute for the Behavioral and Social Sciences.Google Scholar
Yammarino, F. J., Salas, E., Serban, A., Shirreffs, K., & Shuffler, M. L. (2012). Collectivistic leadership approaches: Putting the “we” in leadership science and practice. Industrial and Organizational Psychology: Perspectives on Science and Practice, 5, 382–402.Google Scholar
Zeni, T. A. (2014). Ethical decision making by business leaders: The impact of cognitive biases and strategies. PhD Dissertation, University of Oklahoma.Google Scholar
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