Statistical Power Analysis (G*Power)
HR & WorkReliability: method4 sample items
About this scale
A method for determining required sample size given effect size, alpha, and desired power. G*Power software supports t-tests, F-tests, χ², correlation, regression, ANOVA, and others.
Sample item(s)
“Specify test family (t-test, F-test, etc.)”
“Set effect size (Cohen's d, f, w)”
“Set alpha (typically 0.05) and power (typically 0.80)”
“Read off required N”
Reliability
Reported internal consistency: method. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Free at gpower.hhu.de.
Source & citation
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007): G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, Vol. 39, No. 2, pp. 175–191.
Source. Scale details are summarised from the publication cited above. Always consult the original source for the full item set, scoring, and permission to use.
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