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Introduction to a special issue on concept mapping

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  • Trochim, William M.
  • McLinden, Daniel

Abstract

Concept mapping was developed in the 1980s as a unique integration of qualitative (group process, brainstorming, unstructured sorting, interpretation) and quantitative (multidimensional scaling, hierarchical cluster analysis) methods designed to enable a group of people to articulate and depict graphically a coherent conceptual framework or model of any topic or issue of interest. This introduction provides the basic definition and description of the methodology for the newcomer and describes the steps typically followed in its most standard canonical form (preparation, generation, structuring, representation, interpretation and utilization). It also introduces this special issue which reviews the history of the methodology, describes its use in a variety of contexts, shows the latest ways it can be integrated with other methodologies, considers methodological advances and developments, and sketches a vision of the future of the method’s evolution.

Suggested Citation

  • Trochim, William M. & McLinden, Daniel, 2017. "Introduction to a special issue on concept mapping," Evaluation and Program Planning, Elsevier, vol. 60(C), pages 166-175.
    • Handle: RePEc:eee:epplan:v:60:y:2017:i:c:p:166-175
    DOI: 10.1016/j.evalprogplan.2016.10.006
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    References listed on IDEAS

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    1. Brian Everitt, 1980. "Cluster analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 14(1), pages 75-100, January.
    2. Trochim, William M. K. & Linton, Rhoda, 1986. "Conceptualization for planning and evaluation," Evaluation and Program Planning, Elsevier, vol. 9(4), pages 289-308, January.
    3. Rosas, Scott R. & Camphausen, Lauren C., 2007. "The use of concept mapping for scale development and validation in evaluation," Evaluation and Program Planning, Elsevier, vol. 30(2), pages 125-135, May.
    4. Trochim, William M. K., 1989. "An introduction to concept mapping for planning and evaluation," Evaluation and Program Planning, Elsevier, vol. 12(1), pages 1-16, January.
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    Cited by:

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    7. Lee, Serim & Chun, JongSerl, 2020. "Conceptualizing the impacts of cyberbullying victimization among Korean male adolescents," Children and Youth Services Review, Elsevier, vol. 117(C).
    8. Askelson, Natoshia & Ryan, Grace & McRee, Annie-Laurie & Farris, Paige E. & Shannon, Jackilen & Hanson, Jessica & Kenyon, DenYelle Baete & Daly, Eliza & Avdic, Lejla, 2021. "Using concept mapping to identify opportunities for HPV vaccination efforts: Perspectives from the Midwest and West Coast," Evaluation and Program Planning, Elsevier, vol. 89(C).
    9. Onken, Steven J., 2018. "Mental health consumer concept mapping of supportive community," Evaluation and Program Planning, Elsevier, vol. 71(C), pages 36-45.
    10. Chun, JongSerl & Kim, Jinyung & Lee, Serim, 2023. "Development of a cyberbullying victimization scale for adolescents in South Korea," Children and Youth Services Review, Elsevier, vol. 144(C).
    11. Marta Roczniewska & Emma Hedberg Rundgren & Henna Hasson & Arnold B. Bakker & Ulrica von Thiele Schwarz, 2022. "How Should Job Crafting Interventions Be Implemented to Make Their Effects Last? Protocol for a Group Concept Mapping Study," IJERPH, MDPI, vol. 19(21), pages 1-10, October.
    12. Erin A. Smyth & Alex Donaldson & Michael K. Drew & Miranda Menaspa & Jennifer Cooke & Sara A. Guevara & Craig Purdam & Craig Appaneal & Rebecca Wiasak & Liam Toohey, 2022. "What Contributes to Athlete Performance Health? A Concept Mapping Approach," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    13. Bar, Haim & Mentch, Lucas, 2017. "R-CMap—An open-source software for concept mapping," Evaluation and Program Planning, Elsevier, vol. 60(C), pages 284-292.
    14. Ladinig, Thomas B. & Vastag, Gyula, 2021. "Mapping quality linkages based on tacit knowledge," International Journal of Production Economics, Elsevier, vol. 233(C).

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