How to Explain Statistical Significance to a Skeptical Committee

Описание: Want help getting your dissertation accepted? Join our free Dissertation Help Community 👉 https://www.beyondphdcoaching.com

Your results came back statistically significant but does that actually mean anything in the real world? A lot of doctoral students get a p-value below .05 and think they're done. But your committee isn't just looking for a number. They want to know: is the effect big enough to matter? And can you explain why?

In this video, Dr. Steve Tippins — a professor with 35+ years of experience, earned tenure twice, published 60+ papers, and sat on 300+ dissertation committees. Today, as founder of Beyond PhD Coaching, he's helped hundreds of students graduate with their doctorates, succeed in their careers, and use their expertise to change the world for the better. See case studies: https://www.beyondphdcoaching.com

Drawing from decades of experience in academia, Dr. Tippins explains the critical difference between statistical significance and practical significance and why understanding both is what separates a dissertation that gets accepted from one that gets sent back for revisions.

You'll learn:
✅ What statistical significance actually means (and why a p-value alone isn't enough)
✅ Why large samples can produce "significant" results that are essentially meaningless
✅ The three-question test for evaluating practical significance in your research
✅ What your committee really wants to see: p-values, effect sizes, confidence intervals — and your ability to interpret them

0:00 Introduction: Significant Results Can Be Meaningless
0:51 Why This Matters for Your Dissertation
1:16 Avoid the Word "Significant" in Qualitative Research
1:56 What Is Statistical Significance?
2:52 Significant Means It's Probably Not Random Noise
3:31 Correlation Does Not Mean Causation
4:50 Spurious Correlation Examples
5:43 What Is Practical Significance?
6:04 Don't Imply False Levels of Accuracy
7:00 The Problem with Likert Scale Averages
7:46 Large Samples Can Detect Trivial Effects
8:07 Tie Results to Real-World Impact
8:45 Three Questions to Evaluate Practical Significance
10:06 Marketing Statistics and Misleading Comparisons
11:06 The Arbitrary Nature of p = 0.05
12:16 What Committees Actually Want
12:50 How to Report Non-Significant Results

If you're working on your results or discussion chapter and want to make sure your findings actually hold up under committee scrutiny, this video will show you exactly how to report and interpret your data with confidence.

Book a Free Discovery Call: https://www.beyondphdcoaching.com
Connect on LinkedIn:   / steve-tippins  

#StatisticalSignificance #PracticalSignificance #DissertationResults #PhDResearch #DoctoralStudent #DissertationHelp #BeyondPhDCoaching #PhDLife #QuantitativeResearch