Calculate the sample size needed given these factors one tailed t test with two independent groups of equal size small effect size (see Piasta Justice, 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 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 Offer an argument to explain that your study is worth conducting with the smaller sample In a few sentences, describe two designs that can address your research question For example, if you are examining the effectiveness of EFT for couples dealing with infidelity, you could use an ANOVA and compare EFT with Gottman's therapy and behavioral marital therapy or you could conduct an RCT comparing EFT to a wait list control group 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 Based on the video on Little O outcomes, describe some of the questions and ideas discussed in the video What are some other little O outcomes that interest you and why Based on the MFT articles by Shadish and Brown, Piercy et al , and Gelin et al , describe the clinical significance and effect sizes of the treatment approaches addressed How does effect size impact the clinical significance of these models What can be said of the clinical significance of these models based on the effect sizes

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Calculate the sample size needed given these factors: one-tailed t-test with two independent groups of equal size small effect size (see Piasta & Justice, 2010)

Calculate the sample size needed given these factors:
- one-tailed t-test with two independent groups of equal size
- small effect size (see Piasta & Justice, 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.
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. Offer an argument to explain that your study is worth conducting with the smaller sample.
In a few sentences, describe two designs that can address your research question. For example, if you are examining the effectiveness of EFT for couples dealing with infidelity, you could use an ANOVA and compare EFT with Gottman's therapy and behavioral marital therapy; or you could conduct an RCT comparing EFT to a wait-list control group. 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.
Based on the video on Little "O" outcomes, describe some of the questions and ideas discussed in the video. What are some other little "O" outcomes that interest you and why?
Based on the MFT articles by Shadish and Brown, Piercy et al., and Gelin et al., describe the clinical significance and effect sizes of the treatment approaches addressed. How does effect size impact the clinical significance of these models? What can be said of the clinical significance of these models based on the effect sizes?