How to Analyze Quantitative Data for Your Dissertation
How to Analyze Quantitative Data for Your Dissertation
Analyzing quantitative data involves applying statistical techniques to test hypotheses and draw conclusions. Here’s a step-by-step process:
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Data Cleaning: Ensure the data is free of errors or missing values. This includes handling outliers and normalizing data where needed.
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Descriptive Statistics: Calculate basic statistics like mean, median, mode, standard deviation, etc., to summarize your data.
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Inferential Statistics: Use statistical tests like t-tests, ANOVA, or chi-square tests to determine if there are significant differences or relationships in your data.
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Regression Analysis: Perform regression analysis to understand relationships between variables and predict outcomes.
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