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Recommendations for improving research quality: relationships among constructs, verbs in hypotheses, theoretical perspectives, and triangulation

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  • Gjoko Stamenkov

    (South East European University)

Abstract

The purpose of this paper is to suggest recommendations for improving research quality and theory development by addressing four issues. Two of them concern hypotheses, their statements, and observed inconsistencies found in articles; the other two address issues related to theoretical perspectives and triangulation. We used a purposive sampling of scientific fields and articles that support and ground the ideas of this general review. This study clarifies inconsistent opposite relationships among variables found in theoretical models, discusses the usage of verbs in hypotheses, focuses on the cause-and-effect relationship between variables, identifies ways in which to rectify inconsistencies by including additional theoretical perspectives, and reminds the research community about triangulation. This paper concludes with the implications for research, practice, and society.

Suggested Citation

  • Gjoko Stamenkov, 2023. "Recommendations for improving research quality: relationships among constructs, verbs in hypotheses, theoretical perspectives, and triangulation," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2923-2946, June.
  • Handle: RePEc:spr:qualqt:v:57:y:2023:i:3:d:10.1007_s11135-022-01461-2
    DOI: 10.1007/s11135-022-01461-2
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    1. Alsajjan, Bander & Dennis, Charles, 2010. "Internet banking acceptance model: Cross-market examination," Journal of Business Research, Elsevier, vol. 63(9-10), pages 957-963, September.
    2. Anton Oleinik, 2011. "Mixing quantitative and qualitative content analysis: triangulation at work," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(4), pages 859-873, June.
    3. Yang Liu, 2022. "Paradigmatic Compatibility Matters: A Critical Review of Qualitative-Quantitative Debate in Mixed Methods Research," SAGE Open, , vol. 12(1), pages 21582440221, March.
    4. Peter B. Seddon, 1997. "A Respecification and Extension of the DeLone and McLean Model of IS Success," Information Systems Research, INFORMS, vol. 8(3), pages 240-253, September.
    5. Sarkar, Subhro & Chauhan, Sumedha & Khare, Arpita, 2020. "A meta-analysis of antecedents and consequences of trust in mobile commerce," International Journal of Information Management, Elsevier, vol. 50(C), pages 286-301.
    6. Bolton, Ruth N & Drew, James H, 1991. "A Multistage Model of Customers' Assessments of Service Quality and Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 375-384, March.
    7. Achim Goerres & Katrin Prinzen, 2012. "Using mixed methods for the analysis of individuals: a review of necessary and sufficient conditions and an application to welfare state attitudes," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(2), pages 415-450, February.
    8. Andrew Burton-Jones & Ephraim R McLean & Emmanuel Monod, 2015. "Theoretical perspectives in IS research: from variance and process to conceptual latitude and conceptual fit," European Journal of Information Systems, Taylor & Francis Journals, vol. 24(6), pages 664-679, November.
    9. Norman Blaikie, 1991. "A critique of the use of triangulation in social research," Quality & Quantity: International Journal of Methodology, Springer, vol. 25(2), pages 115-136, May.
    10. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    11. Joanna Sale & Lynne Lohfeld & Kevin Brazil, 2002. "Revisiting the Quantitative-Qualitative Debate: Implications for Mixed-Methods Research," Quality & Quantity: International Journal of Methodology, Springer, vol. 36(1), pages 43-53, February.
    12. Poole, Marshall Scott & Van de Ven, Andrew H. & Dooley, Kevin & Holmes, Michael E., 2000. "Organizational Change and Innovation Processes: Theory and Methods for Research," OUP Catalogue, Oxford University Press, number 9780195131987.
    13. M. Heyvaert & B. Maes & P. Onghena, 2013. "Mixed methods research synthesis: definition, framework, and potential," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 659-676, February.
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