Research Methodology & Design 101 - P-Value: Statistical Significance vs Practical Significance

🎓 1-ON-1 HELP (FREE CONSULTATION): https://gradcoach.com/?utm_source=YT&utm_campaign=KoVqu8XmC_U 🧰 FREE RESEARCH TOOLKIT: https://gradcoach.com/toolkit/?utm_source=YT&utm_campaign=KoVqu8XmC_U 📚 FREE EVENTS & WORKSHOPS: https://gradcoach.com/events/?utm_source=YT&utm_campaign=KoVqu8XmC_U Ever looked at a p-value and thought… what does this actually mean? In this video, we break down p-values in plain English so you can confidently interpret your statistical results without overcomplicating things. We explain what a p-value really tells you, why the 0.05 threshold exists, and how to avoid one of the biggest mistakes students make: confusing statistical significance with practical significance. If you're working on a thesis, dissertation, or any research project, this will help you make sense of your findings and present them clearly. ⏱️ Timestamps 00:00 What is a p-value (simple explanation) 00:55 How p-values relate to chance vs real effects 01:15 The 0.05 threshold explained 01:45 What “statistically significant” actually means 02:25 How to report p-values in your results 02:40 Statistical vs practical significance 03:05 Why effect size matters 03:40 Real-world example (education & healthcare) If you're struggling to make sense of your data or write up your results, we can help. Our team of PhD-qualified coaches will guide you step by step so you can finish with confidence. 👉 Book a free consultation: https://gradcoach.com/dissertation-coaching/