Estimation of Power Related Parameters Using G*Power
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Estimation of Power Related Parameters Using G*Power
4.5.1: Part I: G*Power Exercises: Estimation of Power Related Parameters Using G*Power:
- Use G*Power to estimate the actual power under the following conditions:
- Type of test: t-test
- Statistical test: Means: Difference between two independent means (two groups)
- Type of power analysis: Post hoc: Computer achieved power – given alpha level, sample size, and effect size
- Tails: Two
- Effect size: Medium effect size
- Alpha level (prob): 0.05
- 48 participants in group 1; 60 participants in group 2.
- 4.5.2: G*Power Short Answer Questions:
Using your G*Power Output “4.5.1 GPower Protocol Output”,(I WILL ATTACH IT TO THIS ASSIGNMENT, SEE ATTACH) answer the following questions related to the power analysis you just ran. Create a MSWord document and call it “4.5.2 Short Answer Questions” and save it as a deliverable for this exercise.
- What type of statistical test did you just estimate power and sample size for?
- What does a effect size of 0.5 mean and is this sufficient or this type of statistical test?
- What power was obtained given these experimental parameters?
- Was the sample size selected (48 for group 1 and 60 for group 2) sufficient based on the power obtained?
4.5.3: Write Up Your G*Power Results:
Write up your results in APA 6 format. Be sure to include the parameters of your test and an explanation of what each parameter means (type of test, statistical test, type of power analysis, tails, effect size, alpha level, power, and your calculated sample size). Write up your results and save your write up as “4.5.3 Results Write Up”.
Estimation of Power Related Parameters Using G*Power
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