The designs must involve two different statistical analyses

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Reference no: EM13737744

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(using this website: https://www.gpower.hhu.de/)

2. Calculate the sample size needed given these factors:
•ANOVA (fixed effects, omnibus, one-way)
•small effect size
•alpha =.05
•beta = .2
•3 groups
•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 approximately half the size. Give your rationale for your selected beta/alpha ratio. Indicate the resulting alpha and beta. Give an argument that your study is worth doing with the smaller sample.

3. In a few sentences, describe two designs that can address your research question. The designs must involve two different statistical analyses. For each design, specify and justify each of the four factors (statistical test, effect size, alpha level and beta level) and calculate the estimated sample size you'll need. Give reasons for any parameters you need to specify for G*Power.

(My research questions is: Are there certain practices and policies administration in a school can implement in order to increase teacher retention?) In the study, I will first calculate teacher turnover without such policies. Then, I will implement certain policies and procedures identified as possibly helpful then review turnover after the policies have been implemented.

Reference no: EM13737744

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