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Research design: the methodology for interdisciplinary research framework

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  • Hilde Tobi

    (Wageningen University and Research)

  • Jarl K. Kampen

    (Wageningen University and Research
    Antwerp University)

Abstract

Many of today’s global scientific challenges require the joint involvement of researchers from different disciplinary backgrounds (social sciences, environmental sciences, climatology, medicine, etc.). Such interdisciplinary research teams face many challenges resulting from differences in training and scientific culture. Interdisciplinary education programs are required to train truly interdisciplinary scientists with respect to the critical factor skills and competences. For that purpose this paper presents the Methodology for Interdisciplinary Research (MIR) framework. The MIR framework was developed to help cross disciplinary borders, especially those between the natural sciences and the social sciences. The framework has been specifically constructed to facilitate the design of interdisciplinary scientific research, and can be applied in an educational program, as a reference for monitoring the phases of interdisciplinary research, and as a tool to design such research in a process approach. It is suitable for research projects of different sizes and levels of complexity, and it allows for a range of methods’ combinations (case study, mixed methods, etc.). The different phases of designing interdisciplinary research in the MIR framework are described and illustrated by real-life applications in teaching and research. We further discuss the framework’s utility in research design in landscape architecture, mixed methods research, and provide an outlook to the framework’s potential in inclusive interdisciplinary research, and last but not least, research integrity.

Suggested Citation

  • Hilde Tobi & Jarl K. Kampen, 2018. "Research design: the methodology for interdisciplinary research framework," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(3), pages 1209-1225, May.
    • Handle: RePEc:spr:qualqt:v:52:y:2018:i:3:d:10.1007_s11135-017-0513-8
    DOI: 10.1007/s11135-017-0513-8
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    References listed on IDEAS

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    1. Daniele Fanelli, 2009. "How Many Scientists Fabricate and Falsify Research? A Systematic Review and Meta-Analysis of Survey Data," PLOS ONE, Public Library of Science, vol. 4(5), pages 1-11, May.
    2. José F. Molina‐Azorín & María D. López‐Gamero, 2016. "Mixed Methods Studies in Environmental Management Research: Prevalence, Purposes and Designs," Business Strategy and the Environment, Wiley Blackwell, vol. 25(2), pages 134-148, February.
    3. Anthony Onwuegbuzie & Nancy Leech, 2005. "Taking the “Q” Out of Research: Teaching Research Methodology Courses Without the Divide Between Quantitative and Qualitative Paradigms," Quality & Quantity: International Journal of Methodology, Springer, vol. 39(3), pages 267-295, June.
    4. Hilde Tobi & Jarl Kampen, 2013. "Survey error in an international context: an empirical assessment of cross-cultural differences regarding scale effects," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(1), pages 553-559, January.
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    10. Rasa, Mohammad Mirwais, 2022. "Dynamic of Trade Specialization and Performance of SAFTA: A Case Study of Afghanistan," MPRA Paper 122505, University Library of Munich, Germany, revised 25 Oct 2024.
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