Template:Data Analysis
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Data Analysis
Description
General:
“sense-making” approach The data is analyzed and interpreted for the purpose of drawing conclusions regarding the research questions of interest. Depending on the type of data collected (quantitative or qualitative), data analysis may be quantitative (e.g., employ statistical techniques such as regression or structural equation modeling) or qualitative (e.g., coding or content analysis). Secondary data analysis: analysis of data that has previously been collected and tabulated by other sources (e.g., data from government agencies)
Examples
Further Readings
[1] Bhattacherjee, A. (2012). "Social Science Research: Principles, Methods, and Practices", Textbooks Collection. 3. Available at: https://scholarcommons.usf.edu/oa_textbooks/3