Essay About Data Management And Major Codes

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• Data management
○ Use computer to organize data
○ “Fat data” collection more data
○ CAQDAS – computer software to organize data.
○ Code & retrieve programs – assist in organizing & grouping data
• Data collection should be completed before analysis begins
• Researcher needs to identify the process used & make meaning out of massive amounts of data.
• Data Reduction – selecting, focusing, abstracting & transforming the data
○ Data is organized into meaningful clusters of data by grouping related data.
• Themes – clusters of groups of data or occur frequently in the text.
○ It is structured meaning units of data & categorized via subthemes
• Thematic analysis – process of recognizing & recovering the emergent themes.
○ Free act of seeing meaning
• Codes – tags that assigned the themes during analysis.
○ Progressive marking and redefining of the collected data.
○ It allows researchers to transform the unstructured and messy data to ideas about what is going on in the data.
○ Major codes may exist along w. subcodes.
• Data display – organized info that permits conclusion action
○ Form of figures or graphs
○ Rich description & give meaning to experiences
○ Descriptive phenomenology – focus on the description of the lived experiences
○ Grounded theory study – focus on careful description of how the narrative give rise to the analysis, results in theory but development.
• Conclusion drawing – description of the RS between the themes
○ It starts at the beginning of data collection
• Verification – questioning own conclusion & checking w. past participants
○ Occurs as the data are collected
○ Constant comparative method: new data are compared as they emerge w. data previously analyzed.
○ Member checking – going back & checking w. the participants again