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| Teaching Since: | Apr 2017 |
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MBA, Ph.D in Management
Harvard university
Feb-1997 - Aug-2003
Professor
Strayer University
Jan-2007 - Present
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 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
(include peer-reviewed journal articles as needed to support your response). 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 and calculate the estimated sample size you'll need. Give reasons for any parameters
you need to specify for G*Power. Support your paper with a minimum of 5 resources. In addition to these specified resources,
other appropriate scholarly resources, including older articles, may be included.
length 5 pg not including title and reference pages
References: Minimum of 5 scholarly resources.
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