Research Methodology & Design 101 - Which Statistical Test Should I Use?

🎓 1-ON-1 HELP (FREE CONSULTATION): https://gradcoach.com/?utm_source=YT&utm_campaign=VQvB2m44R3I 🧰 FREE RESEARCH TOOLKIT: https://gradcoach.com/toolkit/?utm_source=YT&utm_campaign=VQvB2m44R3I 📚 FREE EVENTS & WORKSHOPS: https://gradcoach.com/events/?utm_source=YT&utm_campaign=VQvB2m44R3I Struggling to figure out which statistical test to use for your research? Not sure how to match your research question with the right analysis? In this video, we break down how to choose the right statistical test in a simple, practical way. We explain how your research goal, data type, and prior learning all shape your choice of test. Whether you're comparing groups, exploring relationships, or making predictions, you’ll get clear guidance to move forward with confidence. ⏱️ Timestamps 00:00 – The problem: choosing the right statistical test 00:30 – Start with what you’ve already learned 01:00 – Match your test to your research question 01:15 – Descriptive statistics explained 01:20 – Comparing groups (t-tests and ANOVA) 01:35 – Correlation for relationships 01:45 – Regression for prediction 02:05 – What different tests actually do 02:40 – T-tests vs ANOVA explained 03:20 – Regression and real-world examples 03:40 – Correlation and key limitations 04:15 – Why data type matters 04:35 – Useful tools and cheat sheets 💡 Want hands-on help with your dissertation or thesis? Book a free consultation with one of our PhD-qualified coaches: https://gradcoach.com/dissertation-coaching/