G*Power - meaning and definition. What is G*Power
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What (who) is G*Power - definition


G*Power         
  • The table lists all possible analyses that the updated G*Power 3.1 can perform for various functions. A priori analyses are one of the most commonly used analyses in research and calculate the needed sample size in order to achieve a sufficient power level and requires inputted values for alpha and effect size. Compromise analyses find implied power based on the beta/alpha ratio, or q, and inputted values for effect size and sample size. Criterion analyses calculate the required alpha value based on the inputted power, effect size, and sample size. Post hoc analyses find actual power based on the inputted alpha, sample size, and effect size. Lastly, sensitivity analyses find the needed effect size given the alpha value, power, and sample size.
STATISTICS SOFTWARE
G*Power is a free-to use software used to calculate statistical power. The program offers the ability to calculate power for a wide variety of statistical tests including t-tests, F-tests, and chi-square-tests, among others.
https://en.wikipedia.org/wiki/G*Power
Power (social and political)         
In social science and politics, power is the social production of an effect that determines the capacities, actions, beliefs, or conduct of actors. Power does not exclusively refer to the threat or use of force (coercion) by one actor against another, but may also be exerted through diffuse means (such as institutions).
https://en.wikipedia.org/wiki/Power_(social_and_political)
Turned g         
  • thumb
  • Gamilaraay]] text, using a rotated capital G for ŋ.
  • Turned g as a proposed symbol of the International Phonetic Alphabet.
LETTER OF THE LATIN ALPHABET
ᵷ; Turned G; ⅁
ᵷ or turned g is a letter of the Latin alphabet, formed by rotating g 180°. It is used to transliterate the Georgian letter ჹ.
https://en.wikipedia.org/wiki/Turned_g

Wikipedia

G*Power
G*Power is a free-to use software used to calculate statistical power. The program offers the ability to calculate power for a wide variety of statistical tests including t-tests, F-tests, and chi-square-tests, among others.
https://en.wikipedia.org/wiki/G*Power
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