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🎓 1-ON-1 HELP (FREE CONSULTATION): https://gradcoach.com/?utm_source=YT&utm_campaign=vuFXXEYo7V8 🧰 FREE RESEARCH TOOLKIT: https://gradcoach.com/toolkit/?utm_source=YT&utm_campaign=vuFXXEYo7V8 📚 FREE EVENTS & WORKSHOPS: https://gradcoach.com/events/?utm_source=YT&utm_campaign=vuFXXEYo7V8 Struggling to figure out which statistical test to use or how to interpret your results? In this video, we break down how to choose the right data analysis methods and confidently present your findings. If you're working on a dissertation or thesis, this will help you make sense of your data without the overwhelm. ⏱️ Timestamps 00:00 How to choose the right statistical test 01:10 Matching tests to your research question 02:30 What different statistical tests actually do 05:15 How to interpret a p-value (plain English) 08:05 Statistical vs practical significance 09:30 What if your results aren’t significant? 12:20 Quantitative analysis step-by-step 15:00 Qualitative analysis tools and when to use them 17:40 Too many codes? How to simplify 20:45 Qualitative analysis process explained 22:45 How to know if your themes are strong 26:05 When to start coding interviews 28:00 Can you remove outliers? 30:00 Structured vs semi-structured interviews 🎓 Need help making sense of your data or getting your dissertation over the finish line? Book a free consultation: https://gradcoach.com/dissertation-coaching/
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