How to Analyze Data for Your Dissertation

Analyzing data effectively is key to drawing valid conclusions in your dissertation. Depending on your research method, the analysis process will differ:

1. Quantitative Analysis: Involves statistical analysis of numerical data. Tools like SPSS, R, or Excel can be used for calculations, testing hypotheses, and interpreting trends.

2. Qualitative Analysis: Involves analyzing textual data. Tools like NVivo or Atlas.ti can help with coding and theme identification.

3. Mixed-Methods Analysis: Combines both qualitative and quantitative analysis. You’ll need to synthesize both types of data to draw comprehensive conclusions.