STATISTICS EXERCISE 36
EXERCISE 36
6. Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single group? Provide rationale for your answer.
ANOVA cannot be used to test proposed relationships or predicted correlations between variables in a single group because it is designed to test for correlations and interactions amongst groups, i.e. in the test group of patients with OA you are testing the correlations between those who do not use GI and PMR and those that do. Although all participants suffered from OA they were separated into two groups for comparison.
7. If a study had a result of F(2, 147) = 4.56, p=0.003, how many groups were in the study, and what was the sample size?
Number of groups = K
Group degrees of freedom= K-1+=2 = K=2+1=3
K=3 which means the number of groups = 3
Sample size = N
Error degrees of freedom = N-K = 147=N-3 = N=147+3 = 150
N=150 which means the sample size is 150
8. The researchers state that the sample of their study was 28 women with a diagnosis of OA, and that 18 were randomly assigned to the intervention group and 10 were randomly assigned to the control group. Discuss the studies strengths and/or weaknesses in this statement.
One of the biggest weaknesses in this study is the number of participants. There are only 18 women participating. With a larger group of participants you can obtain more credible and concrete results. One of the strengths is that there is in fact a control group, so researchers are able to actually evaluate the variables against a group that is not using any. This makes helps makes the results more credible in nature.
9. In your opinion, have the researchers established that guided imagery (GI) with progressive muscle relaxation (PMR) reduces pain and decreases mobility difficulties in women with OA?
I do think that researchers have fueled reason to continue this research on a larger group of participants. It is very obvious from the research and the graphs that you
6. Can ANOVA be used to test proposed relationships or predicted correlations between variables in a single group? Provide rationale for your answer.
ANOVA cannot be used to test proposed relationships or predicted correlations between variables in a single group because it is designed to test for correlations and interactions amongst groups, i.e. in the test group of patients with OA you are testing the correlations between those who do not use GI and PMR and those that do. Although all participants suffered from OA they were separated into two groups for comparison.
7. If a study had a result of F(2, 147) = 4.56, p=0.003, how many groups were in the study, and what was the sample size?
Number of groups = K
Group degrees of freedom= K-1+=2 = K=2+1=3
K=3 which means the number of groups = 3
Sample size = N
Error degrees of freedom = N-K = 147=N-3 = N=147+3 = 150
N=150 which means the sample size is 150
8. The researchers state that the sample of their study was 28 women with a diagnosis of OA, and that 18 were randomly assigned to the intervention group and 10 were randomly assigned to the control group. Discuss the studies strengths and/or weaknesses in this statement.
One of the biggest weaknesses in this study is the number of participants. There are only 18 women participating. With a larger group of participants you can obtain more credible and concrete results. One of the strengths is that there is in fact a control group, so researchers are able to actually evaluate the variables against a group that is not using any. This makes helps makes the results more credible in nature.
9. In your opinion, have the researchers established that guided imagery (GI) with progressive muscle relaxation (PMR) reduces pain and decreases mobility difficulties in women with OA?
I do think that researchers have fueled reason to continue this research on a larger group of participants. It is very obvious from the research and the graphs that you