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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 descriptions or distinctions are based on some quality or characteristic rather than on some quantity or measured value. 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
Thematic analysis is used in qualitative research and focuses on examining themes or patterns of meaning within data. [14] This method can emphasize both organization and rich description of the data set and theoretically informed interpretation of meaning. [1]
Qualitative properties are properties that are observed and can generally not be measured with a numerical result, unlike quantitative properties, which have numerical characteristics. Description [ edit ]
Qualitative geography is a subfield and methodological approach to geography focusing on nominal data, descriptive information, and the subjective and interpretive aspects of how humans experience and perceive the world.
Participant observation is one type of data collection method by practitioner-scholars typically used in qualitative research and ethnography.This type of methodology is employed in many disciplines, particularly anthropology (including cultural anthropology and ethnology), sociology (including sociology of culture and cultural criminology), communication studies, human geography, and social ...
The focus group is marketing research technique for qualitative data that involves a small group of people (6–10) that share a common set characteristics (demographics, attitudes, etc.) and participate in a discussion of predetermined topics led by a moderator.
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".