This video gave me a better understanding of calculating a Type II error and allowed me to better understand the difference between alpha and beta errors.
Omg I also watch your crime videos so I got very disoriented when I started this video while working on my PhD proposal and heard “hello this is Dr Grande”… 🤣 crime, stats and psychology, that’s what I call a triple threat
Thank you for the video! However, I misunderstood the formula for calculating the Beta value. In the first example, n = 45, Alpha = 0.05, effect size = 0.233, and Power = 0.880 how did you find the value of 0.12 for Beta?
Dr Grande thank you so much, but this is for data with only one variable. What if I have to do a power analysis and interpret type II error for up to five variables in one study?
This video gave me a better understanding of calculating a Type II error and allowed me to better understand the difference between alpha and beta errors.
Omg I also watch your crime videos so I got very disoriented when I started this video while working on my PhD proposal and heard “hello this is Dr Grande”… 🤣 crime, stats and psychology, that’s what I call a triple threat
OHHHH big thanks!!!! Great explanation
Absolutely brilliant - thank you for a very helpful video
Great video and very useful explanation always! Thank you, Dr. Grande.
You're welcome, thanks for watching -
Thank you for the video! However, I misunderstood the formula for calculating the Beta value. In the first example, n = 45, Alpha = 0.05, effect size = 0.233, and Power = 0.880 how did you find the value of 0.12 for Beta?
um you simply subtract power (0.88 in this case) from 1.
1 - 0.88 = 0.12 thus, beta.
Dr Grande thank you so much, but this is for data with only one variable. What if I have to do a power analysis and interpret type II error for up to five variables in one study?
Can this same univariate procedure be used to look for power and Type II error with a t-test (only 2 groups)?
Thanks
You're welcome, thanks for watching -
Hi Dr Grande, is it possible to calculate power for unequal sample sizes in SPSS?
How would you calculate a sample size from this?