QuickHelper

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    Phoniex
    Jul-2007 - Jun-2012

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Category > Business & Finance Posted 12 Jun 2017 My Price 15.00

Tentative Quantitative Research Question

Question description

 

Download G*Power and play around with it. See how changes in assumptions and 
parameters affect sample size estimates. 

Submit:

    1. Calculate the sample size needed 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
    2. 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. Present an argument that your study is 
      worth doing with the smaller sample.
  2.   
    2. Calculate the sample size needed given these factors: 
      • ANOVA (fixed effects, omnibus, one-way) 
      • small effect size 
      • alpha =.05 
      • beta = .2 
      • 3 groups
    3. 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 and calculate the estimated 
    sample size you’ll need. Give reasons for any parameters you need to specify for 
    G*Power.

Answers

QuickHelper
(10)
Status NEW Posted 12 Jun 2017 08:06 PM My Price 15.00

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