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β’ Data management
β Use computer to organize data
β “Fat data” collection more data
β CAQDAS – computer software to organize data.
β Code & retrieve programs – assist in organizing & grouping data
β’ Data collection should be completed before analysis begins
β’ Researcher needs to identify the process used & make meaning out of massive amounts of data.
β’ Data Reduction – selecting, focusing, abstracting & transforming the data
β Data is organized into meaningful clusters of data by grouping related data.
β’ Themes – clusters of groups of data or occur frequently in the text.
β It is structured meaning units of data & categorized via subthemes
β’ Thematic analysis – process of recognizing & recovering the emergent themes.
β Free act of seeing meaning
β’ Codes – tags that assigned the themes during analysis.
β Progressive marking and redefining of the collected data.
β It allows researchers to transform the unstructured and messy data to ideas about what is going on in the data.
β Major codes may exist along w. subcodes.
β’ Data display – organized info that permits conclusion action
β Form of figures or graphs
β Rich description & give meaning to experiences
β Descriptive phenomenology – focus on the description of the lived experiences
β Grounded theory study – focus on careful description of how the narrative give rise to the analysis, results in theory but development.
β’ Conclusion drawing – description of the RS between the themes
β It starts at the beginning of data collection
β’ Verification – questioning own conclusion & checking w. past participants
β Occurs as the data are collected
β Constant comparative method: new data are compared as they emerge w. data previously analyzed.
β Member checking – going back & checking w. the participants again
Essay About Data Management And Major Codes
Essay, Pages 1 (270 words)
Latest Update: April 3, 2021
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