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Content analysis is an important building block in the conceptual analysis of qualitative data. It is frequently used in sociology. For example, content analysis has been applied to research on such diverse aspects of human life as changes in perceptions of race over time, [ 35 ] the lifestyles of contractors, [ 36 ] and even reviews of ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
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 ...
MAXQDA Analytics Pro is the most advanced version of MAXQDA. Besides the MAXDictio module, it also integrates a comprehensive module for statistical analysis of qualitative data. The "Stats" module offers tools to statistically analyze MAXQDA project data or import and work with external quantitative data sets in Excel or SPSS.
The small N problem arises when the number of units of analysis (e.g. countries) available is inherently limited. For example: a study where countries are the unit of analysis is limited in that are only a limited number of countries in the world (less than 200), less than necessary for some (probabilistic) statistical techniques.
Categorical data is the statistical data type consisting of categorical variables or of data that has been converted into that form, for example as grouped data. More specifically, categorical data may derive from observations made of qualitative data that are summarised as counts or cross tabulations , or from observations of quantitative data ...
Grounded theory is a systematic methodology that has been largely applied to qualitative research conducted by social scientists.The methodology involves the construction of hypotheses and theories through the collecting and analysis of data.
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.