## Sample size calculation using G*power Analysis

jedisummary
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Joined: Sat Oct 06, 2018 4:58 pm
Real name and title: jedisummary

### Re: Sample size calculation using G*power Analysis

Hosam wrote:
Thu Nov 26, 2015 7:48 pm
However, if you want to use Gpower you could get sample size of 138 respondent as the following (please correct me if I'm mistaken)

F tests - Linear multiple regression: Fixed model, R² increase
Analysis: A priori: Compute required sample size
Input: Effect size f² = 0.15
α err prob = 0.05
Power (1-β err prob) = 0.95
Number of tested predictors = 5
Total number of predictors = 5
Output: Noncentrality parameter λ = 20.7000000
Critical F = 2.2828562
Numerator df = 5
Denominator df = 132
Total sample size = 138
Actual power = 0.9507643

danurahardja
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Joined: Tue Dec 24, 2019 9:53 am
Real name and title: Danu Rahardja Singgih

### Re: Sample size calculation using G*power Analysis

can anyone show me a tutorial on how to use the program? i a currently doing my thesis, with 2 independent variable, 1 mediator and 1 dependent

ALVINAKAITH
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Real name and title: alvina kaith

### Re: Sample size calculation using G*power Analysis

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