https://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower.html
Calculate the estimated sample size needed when given these factors:
one-tailed t-test with two independent groups of equal size
small effect size (see Piasta, S.B., & Justice, L.M., 2010)
alpha =.05
beta = .2 (Reminder: Power = 1 – beta)
Assume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample half the size.
Indicate the resulting alpha and beta.
Analyze the result and decide if the study should be conducted with a smaller sample size. Explain your rationale.
In the context of Type I and Type II error.
Include a visual of the G* Power output matrix.
Calculate the estimated sample size needed to perform an ANOVA (fixed effects, omnibus, one-way) when given these factors:
ANOVA (fixed effects, omnibus, one-way)
small effect size
alpha =.05
beta = .2
3 groups
Include a visual of the G* Power output matrix.
Intended Research Sampling Method
Describe the sampling method that would be appropriate for your intended research.
Describe the population of interest (also referred to as the theoretical population).
Identify the sampling frame to be used to recruit participants.
List criteria to be met for an interested person to participate in the research study.
Compute an estimated sample size.
Describe the recruitment procedure that might be used to draw the actual sample.
