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Misconception1 (around p values): A significant result means that the effect is important
No, because significance depends on sample size
Misconception 2 (around p-values): A non-significant result means that the null hypothesis is true
Non-significance means undetected, not nonexistent
Misconception 3 (around p-values): A significant result means that the null hypothesis is false?
No, it is logically not possible to conclude this
p-hacking
Manipulating analysis choices to selectively report significant p-values
Open science
Making all research openly accessible
Effect sizes
A standardized, sample independent measure of effect size