Hi - I am primarily concerned with the questions in the yellow box. I am not sur
ID: 3359406 • Letter: H
Question
Hi - I am primarily concerned with the questions in the yellow box. I am not sure which hypothesis outcome to select and my effect percentages keep coming out differently than the available options.
It is projected that approximately 580,000 veterans will take advantage of the GI Bill for the 21st Century. Boots to Books is a course for all veterans current military members, and their family members, friends, and supporters. The goal of Boots to Books is to assist deployed, postdeployed, and veteran students in making a positive transition from military to civilian life or from deployment to postdeployment life, including the acquisition of college survival skills. Post-traumatic stress disorder (PTSD) is quite common among combat veterans. Suppose that a researcher wants to revise the Boots to Books course in order to reduce the effects of PTSD. He recruits a group of combat veterans and collects data on the length of time they were in the military (factor A) and the potential components of the revised course (community service, physical activity, journaling, and meditation: factor B). He then assigns them one of the four components. The study will evaluate which components of the program are the most effective for reducing PTSD symptoms. The results of the hypothetical study are summarized in the following data matrix. Each cell reports the average (M), the total (T), and the sum of squares (SS) of the symptom score (X) on the Clinician-Administered PTSD Scale (CAPS) of 10 veterans. veterans are grouped according to the number of years they served in the military Factor B: Program Component Service Activity Journaling Meditation M = 37.5 M = 41 43.5 1-2 T 37S T 410T 435 T-460 TROWs -1,680 S5462.5 SS SS702.5 SS790 Factor At (2 = 163,700 Years in Military M 44.5 T = 445 | TROw2 = 1,880 M 49.5 M 48 M 3-4 T = 480 T = 460 SS-390 | SS-422.5 T = 495 TOOL1 870 TOoLs 905 890 895 The researcher performs an analysis of variance (ANOVA) to test the hypothesis that the populations defined by the treatment The results are presented in the following ANOVA table. are equal ANOVA Table 500.0 32.5 507.5 4,240.0 5,280.G 500.0 10.8333 0.1 Factor A 8.49 Within treatments Total 79 use the significance level -.05 to complete the following conclusions. The critical F value for factor A (years in military) is 3.97. Therefore, the main effect due to factor A issignificant The critical F value for factor B (program component) is 2.73. Therefore, the main effect due to factor B is not significant The critical F value for the interaction of factors A and B is 2.73.Therefore, the effect due to the interaction of factors A and & issignificant Given the results of the preceding analysis, what does the researcher conclude? Veterans with different lengths of service had different PTSD symptom scores. By itself, the program that veterans took was not associated with O Neither length of service nor program component was related to the severity of PTSD symptoms, whether examined alone or in conjunction with O Neither length of service nor program component was related to the severity of PTSD symptoms when looked at alone. However, there was an O Veterans with different lengths of service had different PTSD symptom scores. The severity of PTSD symptoms was unrelated to program differences in severity: however, length of service resulted in different degrees of PTSD symptoms depending on program the other factor interaction between the two factors such that severity differed by program component differently depending on length of service (and vice versa) component either by itself or in conjunction with length of service. Measure the effect size for factor A (years in military), factor B (program component), and the interaction by computing (partial) eta squares. (Express the value of each eta square as a percent. 2 for factor A (years in military-10.5% for factor B (program component)-0.8% Options are: 10.5%, 48%, 8.7%, 11.8% Options are: 3.1%, 0.9%, 0.8%, 0.6% for the interaction- 10.7% Options are: 12.0%, 8.8%, 48.8%, 10.7%Explanation / Answer
Result:
Conclusion : first option is correct.
Effect size for factor A, 500/(500+4240) =0.105485
Answer =10.5%
Effect size for factor B, 32.5/(32.5+4240) =0.007607
Answer =0.8.%
Effect size for interaction, 507.5/(507.5+4240) =0.106898
Answer =10.7%