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Quantitative research requires skills of data-analysis and several techniques of statistic reasoning, while qualitative research is rooted in in-depth observation, comparative thinking, interpretative skills and interpersonal ability. None of the approaches is easier to master than the other, and both require specific expertise, ability and skills.
Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation.
Designing Social Inquiry: Scientific Inference in Qualitative Research (or KKV) is an influential 1994 book written by Gary King, Robert Keohane, and Sidney Verba that lays out guidelines for conducting qualitative research. [1] The central thesis of the book is that qualitative and quantitative research share the same "logic of inference."
Qualitative Reasoning (QR) is an area of research within Artificial Intelligence (AI) that automates reasoning about continuous aspects of the physical world, such as space, time, and quantity, for the purpose of problem solving and planning using qualitative rather than quantitative information. [1]
This is further supported by the fact that the process of moderation is easier online than face to face, because the moderator is not dealing with people together in a room. In fact, one could argue that an important benefit of online qualitative research is that it is much less dependent on the moderator than is face to face research.
Qualitative research methodologies are oriented towards developing an understanding of the meaning and experience dimensions of human lives and their social worlds. Good qualitative research is characterized by congruence between the perspective that informs the research questions and the research methods used.
Conversely, qualitative content analysts have been criticized for being insufficiently systematic and too impressionistic. [20] Krippendorff argues that quantitative and qualitative approaches to content analysis tend to overlap, and that there can be no generalisable conclusion as to which approach is superior. [20]
Human factors, human work capital is important issue that deals with qualitative properties. Some common aspects are work, motivation, general participation, etc. Although all of these aspects are not measurable in terms of quantitative criteria, the general overview of them could be summarized as a quantitative property.