Quantitative Data Analysis: 5 Common Mistakes 🚫

Learn about the 5 most common but costly mistakes that students make when undertaking quantitative data analysis. Dr David Phair and Dr Alexandra Shaeffer unpack these costly errors and explain how to avoid the pitfalls of quantitative analysis. Essential viewing for anyone undertaking quantitative data analysis for their dissertation, thesis or research project.

OVERVIEW: QUANT ANALYSIS MISTAKES
00:00 Introduction
01:06 Misalignment between the analysis method(s) and the golden thread
06:19 Using the incorrect test for the type of data you have
12:35 Overcomplicating the analysis
17:51 Not cleaning the data and checking assumptions
21:47 Chasing statistically significant results

RESOURCES
- Types of data explain (nominal, ordinal, interval & ratio) - https://gradcoach.com/nominal-ordinal-interval-ratio/ and https://youtu.be/5Yh-9xdJzAs
- Descriptive statistics 101 - https://youtu.be/SplCk-t1BeA
- Inferential statistics 101 - https://www.youtube.com/watch?v=6E6pB5JFLgM
- Writing the results chapter for quantitative studies - https://gradcoach.com/quantitative-results-analysis/
- How to develop high-quality hypotheses - https://www.youtube.com/watch?v=W0aWaGq0ILE
- Free dissertation/thesis writing course - https://gradcoach.com/dissertation-course/

For more information about quantitative data analysis, visit the Grad Coach blog at https://gradcoach.com/blog/.

NEED HELP?
For 1-on-1 help with your quantitative analysis, check out Grad Coach's private coaching service at https://gradcoach.com

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