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Computer-assisted (or aided) qualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, [1] grounded theory methodology, etc.
17) identify some commonly occurring features of qualitative research in Psychology: [3] A tendency to use relatively unstructured data (…); An approach to theory that involves generating theories that are localised and context specific, rather than testing large-scale theories that seek to explain psychological process in all people (…);
Qualitative research is often exploratory and descriptive, emphasizing the importance of subjectivity, reflexivity, and interpretation. While qualitative methods are often viewed as opposite to quantitative methods, there is an increased emphasis in geography on mixed methods approaches that employ both.
Qualitative methods include ethnography, grounded theory, discourse analysis, and interpretative phenomenological analysis. [1] Qualitative research methods have been used in sociology, anthropology, political science, psychology, communication studies, social work, folklore, educational research, information science and software engineering ...
In statistics, qualitative comparative analysis (QCA) is a data analysis based on set theory to examine the relationship of conditions to outcome. QCA describes the relationship in terms of necessary conditions and sufficient conditions . [ 1 ]
Qualitative methods might be used to understand the meaning of the conclusions produced by quantitative methods. Using quantitative methods, it is possible to give precise and testable expression to qualitative ideas. This combination of quantitative and qualitative data gathering is often referred to as mixed-methods research. [14]
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]
Quantitative storytelling (QST) addresses evidence-based policy and can be considered a reaction to methods of quantification with cost-benefit analysis or risk analysis. Jerome Ravetz [3] and Steve Rayner [4] discuss the concept that some of the evidence needed for policy is removed from view. They suggest that 'uncomfortable knowledge' is ...