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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. [2]
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.
John Ward Creswell is an American academician known for his work in mixed methods research. He has written numerous journal articles and 27 books on mixed methods research, research methods, and qualitative research. [1]
MAXQDA is a software program designed for computer-assisted qualitative and mixed methods data, text and multimedia analysis in academic, scientific, and business institutions. It is being developed and distributed by VERBI Software based in Berlin, Germany. MAXQDA is designed for the use in qualitative, quantitative and mixed methods research. [2]
Interpretative phenomenological analysis (IPA) is a qualitative form of psychology research. IPA has an idiographic focus, which means that instead of producing generalization findings, it aims to offer insights into how a given person, in a given context, makes sense of a given situation.
Systems diagrams and Fuzzy Cognitive Maps [3] also fall under this definition. Causal maps have been used since the 1970’s by researchers and practitioners in a range of disciplines from management science [ 4 ] to ecology, [ 5 ] employing a variety of methods.
The discourse about postqualitative inquiry arose from the question of “what comes next for qualitative research," [6] particularly regarding how to approach "a problem in the midst of inquiry” [7] in a way that allows new ideas to take shape from preconceived ones. St. Pierre suggested that being restricted to method conforms new research to the form of existing research, hindering ...
Data and information visualization (data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.