Backward elimination method in regression starts from the full model with all variables added, at each step the predictor with the largest p-value (e.g., p > 0.05) is being eliminated. When all remaining variables meet the criterion to stay in the model, the backward elimination process stops.
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Monte Carlo (MC) instead of Chisquare: If chi-square test assumptions are violated (e.g., expected counts 20%
Salami slicing, in the context of research and academia, refers to the practice of breaking down a single, large study into multiple smaller, often less significant, publications. This is done primarily to inflate an author's publication record and boost their perceived research output. It's also a form of scientific misconduct that can distort the literature and lead to misleading conclusions.
R Programming + ChatGPT
Procedure
1. Describe your data in terms of column variables and levels of measurement and ask ChatGPT to write a code for specific data analysis method
2. Import your data to R
3. Copy, paste, and run the codes generated by ChatGPT
4. If there are errors, copy the warning message from the Console and paste to ChatGPT and ask to debug
5. Copy the modified code and run again
6. Now see if it works
T-test or Z-test?
Confused about which one to use? Here’s a quick tip:
If you don’t know the population standard deviation (which is almost always the case), go with the t-test — even for large samples!
Use the z-test only when the population standard deviation is known (rare in real life).
So next time you’re analyzing data, remember: t-test is your go-to, unless you’re living in a statistics textbook!
31/03/2025
Guide in selecting the right statistical tools based on levels of measurement and assumptions.
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