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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.
Qualitative may also refer to: Qualitative property, a property that can be observed but not measured numerically; Qualitative research, a research paradigm focusing on non-quantifiable measurements; Qualitative analysis (disambiguation) Qualitative data, data that is not quantified; Qualitative observation, descriptive observations we make ...
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.
Coding reliability [4] [2] approaches have the longest history and are often little different from qualitative content analysis. As the name suggests they prioritise the measurement of coding reliability through the use of structured and fixed code books, the use of multiple coders who work independently to apply the code book to the data, the measurement of inter-rater reliability or inter ...
The data that all share a qualitative property form a nominal category. A variable which codes for the presence or absence of such a property is called a binary categorical variable , or equivalently a dummy variable .
Qualitative research usually uses unstructured or semi-structured techniques to collect data, e.g. in-depth interviews or group discussions, while quantitative research only uses structured techniques such as online questionnaires, on-street or telephone interviews.
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.
Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning".