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We usually use 0.8 power in social science. 

Calculator:

http://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower.html

 

Universität Düsseldorf: gpower

G*Power is a tool to compute statistical power analyses for many different t tests, F tests, χ2 tests, z tests and some exact tests. G*Power can also be used to compute effect sizes and to display graphically the results of power analyses. Whenever we find

www.psychologie.hhu.de

Effect Size d:

Cohen suggested that d=0.2 be considered a 'small' effect size, 0.5 represents a 'medium' effect size and 0.8 a 'large' effect size. This means that if two groups' means don't differ by 0.2 standard deviations or more, the difference is trivial, even if it is statistically signficant.

Cohen's d calculator: https://www.socscistatistics.com/effectsize/default3.aspx

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