Sample size calculation using G*power Analysis

Frequently asked questions about PLS path modeling.
jedisummary
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Re: Sample size calculation using G*power Analysis

Post by jedisummary » Sat Oct 06, 2018 5:00 pm

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
Thanks for the link.

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