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The type of data that describes the information.
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Process Of Qualitative Data Analysis
Organizing Qualitative Data For Dissertation Step-By-Step.
- Developing Initial Codes: The very first step is to develop initial coding which classifies data by grouping them into respective categories.
- Formulizing Coding Data: Code your data through the already developed categories. It will create final lists of codes.
- Finding Themes, Relationships & Patterns: Observe the coded data and emerge themes, patterns and relationships. A check for similarities and differences of each group.
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Qualitative data is the data that characterizes and approximates the information. Qualitative data can be observed and recorded. There are multiple ways of collecting qualitative data when you tend to learn on how to write data analysis for dissertation like, one-on-one interviews, observation methods, focus groups etc.
Once you are done with the data collection by interviews and focus groups. Numerous tools can be used for the analysis of your qualitative data. Like, NVivo 11, Atlas.ti, Dedoos, MAXQDA, Quirkos, QDA Miner, Saturate etc.
Inferential statistics testing and all its techniques are incompatible with qualitative data as it is not based on numeric values. However, a quantitative type of data is compatible with statistical tests and techniques. As it is collected in the form of numeric values.