Udemy - Statistics for Your Dissertation - Choose, Run and Write Up

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.2 GB
  • Uploaded Byfreecoursewb
  • Downloads45
  • Last checkedApr. 19th '26
  • Date uploadedApr. 18th '26
  • Seeders 11
  • Leechers4

Infohash : 8D98A1C9E4EBFF681E06F84903180E0676F5F848

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

Files:

[ WebToolTip.com ] Udemy - Statistics for Your Dissertation - Choose, Run and Write Up
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Module 1 The Big Picture & Workflow
    • 1. lecture 1.1 Welcome & The Big Picture (Description).html (1.0 KB)
    • 1. lecture 1.1 Welcome & The Big Picture.mp4 (8.5 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)
    10 - Module 10 Wrap‑Up & Next Steps
    • 30. Module 10 Wrap-Up and Next steps.mp4 (16.0 MB)
    2 - Module 2 Know Your Data First
    • 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)
    3 - Module 3 Use the Test Chooser Flowchart
    • 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 - 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 (55.0 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 (36.0 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)
    • Bonus Resources.txt (0.1 KB)

Code:

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