| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Module 1 The Big Picture & Workflow | |||
| 1. lecture 1.1 Welcome & The Big Picture (Description).html | 1 KB | ||
| 1. lecture 1.1 Welcome & The Big Picture.mp4 | 8.5 MB | ||
| 10 - Module 10 Wrap‑Up & Next Steps | |||
| 2 - Module 2 Know Your Data First | |||
| 3 - Module 3 Use the Test Chooser Flowchart | |||
| 4 - Module 4 t-Tests Demystified | |||
| 10. Lecture 4.1 t‑Tests Demystified.mp4 | 20.9 MB | ||
| 11. Lecture 4.2 APA Write-Up Template for t-Tests.mp4 | 8.7 MB | ||
| 12. Lecture 4.3 Challenge Slide.mp4 | 2.6 MB | ||
| 5 - Module 5 ANOVA Without the Jargon | |||
| 13. Lecture 5.1 ANOVA Without the Jargon.mp4 | 25.2 MB | ||
| 14. Lecture 5.2 Post-Hoc Tests – What They Are & When to Use Them.mp4 | 11.7 MB | ||
| 15. Lecture 5.3 Challenge Slide.mp4 | 3.2 MB | ||
| 6 - Module 6 Chi-Square for Real-World Data | |||
| 16. Lecture 6.1 Chi‑Square for Real‑World Data.mp4 | 66.7 MB | ||
| 17. Lecture 6.2 Reading & Interpreting Chi-Square Output.mp4 | 55 MB | ||
| 18. Lecture 6.3 Challenge Slide.mp4 | 8.6 MB | ||
| 7 - Module 7 Correlation & Regression Made Easy | |||
| 19. Lecture 7.1 Correlation and Regression Made Easy.mp4 | 36 MB | ||
| 20. Lecture 7.2 Reading Correlation Output.mp4 | 116.7 MB | ||
| 21. Lecture 7.3 Challenge Slide.mp4 | 9.7 MB | ||
| 8 - Module 8 Doing It All in SPSS | |||
| 22. Lecture 8.1 Welcome to SPSS – Your New Best Friend.mp4 | 110.9 MB | ||
| 23. Lecture 8.2 Why Variable Setup Matters.mp4 | 103.4 MB | ||
| 24. Lecture 8.3 Why Descriptives Come First.mp4 | 35.6 MB | ||
| 25. Lecture 8.4 Running an Independent-Samples t-Test.mp4 | 97.1 MB | ||
| 26. Lecture 8.5 Running One-Way ANOVA.mp4 | 129.3 MB | ||
| 27. Lecture 8.6 Running Chi-Square Test.mp4 | 126.2 MB | ||
| 28. 3.Data Cleaning Checklist.pdf | 297.2 KB | ||
| 28. Lecture 8.7 Running Pearson Correlation.mp4 | 98.8 MB | ||
| 9 - Module 9 Write Your Results Chapter Like a Pro | |||
| 29. 5.APA Phrase Bank.pdf | 130.1 KB | ||
| 29. 7. Common Mistakes to Avoid.pdf | 464.8 KB | ||
| 29. Chapter 4 Structure Template.pdf | 440.6 KB | ||
| 29. Module 9 How to Structure Chapter 4 (Results).mp4 | 83.1 MB | ||
| 7. Lecture 3.1 Use the Test Chooser Flowchart.mp4 | 40.5 MB | ||
| 8. 1.Test Chooser Flowchart.pdf | 255.8 KB | ||
| 8. Lecture 3.2 Relationship Between Categories → Chi-square.mp4 | 5.9 MB | ||
| 9. Lecture 3.3 Challenge Slide.mp4 | 4.6 MB | ||
| 4. 2. Assumption Checklists.pdf | 254.9 KB | ||
| 4. Lecture 2.1 Know Your Data First.mp4 | 29.2 MB | ||
| 5. 4. Graph Selection Cheat Sheet.pdf | 304.8 KB | ||
| 5. Lecture 2.2 Normality Explained Simply.mp4 | 9.3 MB | ||
| 6. Lecture 2.3 Challenge Slide.mp4 | 2.7 MB | ||
| 30. Module 10 Wrap-Up and Next steps.mp4 | 16 MB | ||
| 2. Lecture 1.2 The 4-step Dissertation stats workflow.mp4 | 2.7 MB | ||
| 3. Lecture 1.3 The Ultimate Test Chooser Flowchart.mp4 | 4.1 MB |
Statistics for Your Dissertation: Choose, Run & Write Up
https://WebToolTip.com
Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 26m | Size: 1.25 GB
Statistical test selection, results interpretation & Chapter 4 writing made simple
What you'll learn
Choose the correct statistical test (t-test, ANOVA, chi-square, correlation, regression) based on their research question and data type
Identify and correctly classify data types (nominal, ordinal, interval, ratio) and determine when to use parametric vs non-parametric tests
Interpret statistical results with confidence, including p-values, effect sizes, and key output tables
Run core statistical analyses in SPSS, including data setup, descriptives, t-tests, ANOVA, chi-square, correlation, and regression
Understand the difference between comparing groups and analysing relationships, and apply this to real research scenarios
Use a simple step-by-step workflow to move from raw data to a fully written Results (Chapter 4) section
Requirements
Basic understanding of your research topic or dissertation question
Basic computer skills (e.g. opening files, using Excel or similar software)
Access to a dataset (your own research data or a practice dataset provided in the course)
Optional: Access to SPSS (helpful for the practical module, but not required to understand the concepts)
Willingness to apply the step-by-step methods to your own research project
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| 1.3 GB | freecoursewb | 1 month | 0 | 0 | |
| 665.4 MB | freecoursewb | 1 month | 10 | 5 | |
| 1.4 GB | freecoursewb | 4 months | 16 | 13 | |
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Udemy - Applied Statistics and Probability for Data Science - Python Posted by
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1.5 GB | freecoursewb | 4 months | 4 | 1 |
| 1.4 GB | freecoursewb | 6 months | 0 | 0 |
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