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4. Measuring effect size for two-factor ANOVA Аа Аа It is projected that approximately 580,000 veterans will take advantage oThe researcher performs an analysis of variance (ANOVA) to test the hypothesis that the populations defined by the treatmentthe other factor. Measure the effect size for factor A (years in military), factor B (program component), and the interaction

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Answer #1

The critical F value for factor A (years in military) is 4.02. Therefore, the main effect due to factor A is insignificant because calculated value of F = 3.11 < Fc = 4.02.

The critical F value for factor B (program component) is 3.17. Therefore, the main effect due to factor B is significant because calculated value of F = 4.82 > Fc = 3.17.

The critical F value for interaction of factor A and B is 3.17. Therefore, the main effect due to interaction of factor A and B is insignificant because calculated value of F = 0.25 < Fc = 3.17.

Hence the result of this analysis can be concluded as;

Veterans who took different components of the program had different PTSD symptom scores. The severity of PTSD symptoms was un

η² for factor A:

η²A = SSA /(SST - SSB - SSAxB) = 13.0667/(282.9333 - 40.5333 - 2.1333) = 0.0544 = 5.44%

η²B= SSB /(SST - SSA - SSAxB) = 40.5333/(282.9333 - 13.0667 - 2.1333) = 0.1514 = 15.14%

η²AxB = SSAxB /(SST - SSA - SSB) = 2.1333/(282.9333 - 13.0667 - 40.5333) = 0.0093 = 0.93%

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