Tzagkarakis Stylianos Ioannis, Kritas Dimitrios
Rethymno, Greece Department of Political Science, University of Crete.
Qual Quant. 2023;57(Suppl 1):39-53. doi: 10.1007/s11135-022-01384-y. Epub 2022 Apr 10.
It is widely accepted that an appropriate combination of quantitative and qualitative methods provides a better understanding of research problems as opposed to using them separately. This mixed approach is trying to cover any gaps and weaknesses between the quantitative and qualitative research. Furthermore, triangulation is a common way to combine quantitative and qualitative approaches, which has been used in numerous studies in order to detect different aspects of the research question as well as because the deficiencies of one method are often the forces of the other. The use of multiple methods reflects an attempt to understand and study the phenomenon under in depth investigation, while triangulation is not as much a results-validation strategy, but more of an alternative proposal for validation, through which the breadth, depth and consistency of the methodological processes is increased. There are different types of triangulation, but a mainstream process may include but is not limited at: (a) data triangulation, (b) investigator triangulation, and (c) methodological triangulation, in the version of triangulation of methods belonging to different paradigms. This paper will study and analyze the importance of mixed methods in political science and especially in governance and public policy research by focusing on specific examples of related research and outcomes. The main reason is to assess the importance of mixed methods in achieving better understanding of the social problems and transitions in the post-covid-19 era and thus shed light in contemporary issues related to governance and public policies.
人们普遍认为，与单独使用定量和定性方法相比，将两者适当结合能更好地理解研究问题。这种混合方法旨在弥补定量研究和定性研究之间的差距与不足。此外，三角互证法是结合定量和定性方法的常用方式，已在众多研究中使用，目的是探究研究问题的不同方面，而且一种方法的不足往往能被另一种方法的优势所弥补。使用多种方法反映了深入理解和研究该现象的尝试，而三角互证法与其说是一种结果验证策略，不如说是一种验证的替代方案，通过它可以提高方法过程的广度、深度和一致性。三角互证法有不同类型，但一个主流过程可能包括但不限于：（a）数据三角互证，（b）研究者三角互证，以及（c）方法三角互证，即属于不同范式的方法的三角互证。本文将通过关注相关研究和成果的具体例子，研究和分析混合方法在政治学，尤其是治理与公共政策研究中的重要性。主要目的是评估混合方法在更好地理解后新冠疫情时代的社会问题和转型方面的重要性，从而阐明与治理和公共政策相关的当代问题。
