This paper demonstrates qualitative research methods for socio-cultural variables, suggesting an innovative quasi-statistical research design.
The core objective of this paper is to demonstrate by means of suitably crafted examples, how we believe qualitative research should be performed for various fields and sub-disciplines of the social sciences. We also describe the concept of quasi- statistical research design here, a concept that we believed needed to be made much more popular in a previous publication of ours. This paper is also then aligned with our previous concepts of motion variables and a synchronic- diachronic analysis. We begin this paper suitably by defining what variables are, and reviewing different types of variables, and research design. We also explain what social and cultural variables are, and how they have a bearing on this paper. We also then propose and present the various steps of our postulated approach, such as causation, probabilistic causation, and cause and effect analysis, so that a great degree of transparency is accomplished. The examples provided in this paper are both variegated and refreshing, and provide meat, substance, and overall direction to our paper. We believe that this will be a very useful and important paper, because it provides a template that may help social science researchers to break free from a non social sciences mold.
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Sujay Rao Mandavilli (2025) studied this question.
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