Qualitative data analyses is also characterized by its cyclical and iterative process. The results are described in descriptive, and possibly in a visual manner, supported with quotes or images from the data. In general, qualitative data analysis does not seek to quantify data. Qualitative data analysis is characterized by its analytical openness, as researchers can develop categories, themes, concepts or formulate a theory. Basic principles of qualitative data analysis Analysis involves working with data, organizing them, breaking them into manageable units, synthesizing them, searching of patterns, discovering what is important and what is to be learned, and deciding what you will tell others. Qualitative data analysis is the process of systematically searching and arranging the transcripts, field notes, and other materials that you accumulate to increase your own understanding of them and to enable you to present what you have discovered to others. Qualitative research produces large amounts of textual data in the forms of transcripts and observational field notes. To provide the basics of qualitative data analysis and provide relevant literature for more information on qualitative data analysis.
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