Ten Statistical Mistakes in 5 Min

Are YOU making these common statistical mistakes? A visual summary of the 2019 eLife article by Makin and Orban de Xivry titled "Ten common statistical mistakes to watch out for when writing or reviewing a manuscript". See below for timestamps and related resources/links:

00:00 Ten Common Statistical Mistakes in 5 Min
00:16 Absence of an adequate control condition/group
00:28 Interpreting comparisons between two effects without directly comparing them
00:53 Spurious correlations
01:06 Inflating the units of analysis
01:41 Correlation and causation
02:04 Use of small samples
02:40 Circular analysis
02:54 Flexibility of Analysis (p-Hacking)
03:30 Failing to Correct for Multiple Comparisons
03:56 Over-Interpreting Non-Significant Results

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Links:
The video written as a short blog post: https://www.stuartmcnaylor.com/ten_stats_mistakes/
Original Article: https://doi.org/10.7554/eLife.48175
Sample Size calculations in G*Power – 5 Min Demo Video: https://www.youtube.com/watch?v=veaEDIM13Ks
Editorial – Recommendations for statistical analysis: https://doi.org/10.1080/14763141.2020.1782555
Full lecture on statistical concepts: https://www.youtube.com/watch?v=LKiX54NglCo

A list of free online resources for academia: https://www.stuartmcnaylor.com/resources/

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