Static Analysis of Groups Interview Preparation Guide Download PDF
Static Analysis of Groups Interview Questions and Answers will guide us now that Static analysis, static projection, and static scoring are pejorative terms for statistical analysis for which existing trends are projected into the future simplistically, or beyond what is possible to predict in any manner, producing results often wildly unrealistic. So learn more about Static Analysis of Groups with the help of this Static Analysis of Groups Interview Questions with Answers guide
35 Static Analysis Questions and Answers:
1 :: If the assumptions for conducting an ANCOVA are not met, what could you do?
1. Use ANOVA.
2. Use MANOVA.
3. You could repeat your study and control for the covariate experimentally.
4. Use regression.
You could repeat your study and control for the covariate experimentally.
2. Use MANOVA.
3. You could repeat your study and control for the covariate experimentally.
4. Use regression.
You could repeat your study and control for the covariate experimentally.
2 :: When conducting an ANCOVA in SPSS, which function would you select from the analyze drop down list?
1. General Linear Model.
2. Classify.
3. ANCOVA.
4. Time Series.
General Linear Model
2. Classify.
3. ANCOVA.
4. Time Series.
General Linear Model
3 :: Which of the below designs would be best suited to ANCOVA?
1. Participants were placed in four treatment groups for eating disorders. Their cognitive distortions regarding eating and food were measured before treatment, and again after 6 months of intensive treatment.
2. Participants were placed in four treatment groups for eating disorders. Their cognitive distortions regarding eating and food were measured before treatment, and this is used to allocate them to groups. You are exploring whether participants were allocated appropriately.
3. Participants were placed in four treatment groups for eating disorders. You are examining the relationship between cognitive distortions regarding eating and their therapists rating of improvement over a 6 month treatment period.
4. Participants were placed in four treatment groups for eating disorders. Their cognitive distortions regarding eating and food were compared after 6 months of intensive treatment.
Participants were placed in four treatment groups for eating disorders. Their cognitive distortions regarding eating and food were measured before treatment, and again after 6 months of intensive treatment.
2. Participants were placed in four treatment groups for eating disorders. Their cognitive distortions regarding eating and food were measured before treatment, and this is used to allocate them to groups. You are exploring whether participants were allocated appropriately.
3. Participants were placed in four treatment groups for eating disorders. You are examining the relationship between cognitive distortions regarding eating and their therapists rating of improvement over a 6 month treatment period.
4. Participants were placed in four treatment groups for eating disorders. Their cognitive distortions regarding eating and food were compared after 6 months of intensive treatment.
Participants were placed in four treatment groups for eating disorders. Their cognitive distortions regarding eating and food were measured before treatment, and again after 6 months of intensive treatment.
4 :: What problems do you foresee with the study described in question 2?
1. It is likely that the regression lines will be parallel.
2. It is likely that there will be a linear association between depression and relationship satisfaction.
3. We don't know how reliably we can measure depression.
4. There could be more than three groups.
We don't know how reliably we can measure depression.
2. It is likely that there will be a linear association between depression and relationship satisfaction.
3. We don't know how reliably we can measure depression.
4. There could be more than three groups.
We don't know how reliably we can measure depression.
5 :: Which of the below assumptions must be met in order to conduct ANCOVA?
1. The covariate should be linearly related to the dependent variable.
2. The regression lines for the different groups must be parallel to each other.
3. The covariate should be measured without error (reliable).
4. All of the above.
All of the above
2. The regression lines for the different groups must be parallel to each other.
3. The covariate should be measured without error (reliable).
4. All of the above.
All of the above
6 :: What is a grand mean?
1. It is the mean of all group means.
2. It is the population mean.
3. It is the total sample mean, controlling for error.
4. It is the total sample mean.
It is the mean of all group means.
2. It is the population mean.
3. It is the total sample mean, controlling for error.
4. It is the total sample mean.
It is the mean of all group means.
7 :: Consider the study in question 2. Which of the below questions would be pertinent to this analysis?
1. Does relationship satisfaction have a significant effect on the relationship between attachment and depression?
2. What would the mean depression score be for the three groups of attachment styles if their levels of relationship satisfaction were constant?
3. What would the mean relationship satisfaction be if levels of depression were constant?
4. What would the means of the groups be on relationship satisfaction if their levels of depression were constant?
What would the means of the groups be on relationship satisfaction if their levels of depression were constant?
2. What would the mean depression score be for the three groups of attachment styles if their levels of relationship satisfaction were constant?
3. What would the mean relationship satisfaction be if levels of depression were constant?
4. What would the means of the groups be on relationship satisfaction if their levels of depression were constant?
What would the means of the groups be on relationship satisfaction if their levels of depression were constant?
8 :: You are conducting a study. The IV is attachment style. There are three groups of individuals with different attachment styles; these are secure, dismissing, and fearful. You want to explore whether these differ on their scores of relationship satisfaction. The DV is relationship satisfaction. You are aware, however, that relationship satisfaction is known to co vary with depression.
You conduct an ANCOVA with this data. The formula will remove the variance due to the association between which two variables?
1. Secure attachment and relationship satisfaction.
2. Depression and attachment style.
3. Depression and relationship satisfaction.
4. Attachment style and relationship satisfaction.
Depression and relationship satisfaction
2. Depression and attachment style.
3. Depression and relationship satisfaction.
4. Attachment style and relationship satisfaction.
Depression and relationship satisfaction
9 :: What are the two main reasons for using ANCOVA?
1. To increase error variance AND to adjust the means on the covariate so that the mean covariate score is the same for all participants.
2. To reduce error variance AND to explore patterns of correlations.
3. To reduce error variance AND to correct the means on the covariate.
4. To reduce error variance AND to adjust the means on the covariate so that the mean covariate score is the same for all groups.
To reduce error variance AND to adjust the means on the covariate so that the mean covariate score is the same for all groups
2. To reduce error variance AND to explore patterns of correlations.
3. To reduce error variance AND to correct the means on the covariate.
4. To reduce error variance AND to adjust the means on the covariate so that the mean covariate score is the same for all groups.
To reduce error variance AND to adjust the means on the covariate so that the mean covariate score is the same for all groups
10 :: Consider the hypothetical study presented in question 2. If you were conducting this analysis, what variable would you put into the covariate box?
1. Depression.
2. Relationship satisfaction.
3. Secure attachment.
4. Attachment style.
Depression
2. Relationship satisfaction.
3. Secure attachment.
4. Attachment style.
Depression
11 :: Refer to the example from question 2 again. If you were conducting your analysis in SPSS, what would the fixed factor be?
1. Relationship satisfaction.
2. Depression.
3. Relationship satisfaction and depression are both fixed factors.
4. Attachment style.
Attachment style
2. Depression.
3. Relationship satisfaction and depression are both fixed factors.
4. Attachment style.
Attachment style
13 :: In the example in question 12 there are 3 groups to consider. If you found that the groups differed significantly on reading ability, what might you use to further explore these group differences?
1. You would have to examine partial eta squared to see which of the groups the difference was between.
2. You would have to examine Pearson's correlations to see which of the groups the difference was between.
3. You would have to examine pair wise correlations to see which of the groups the difference was between.
4. You would have to examine pair wise comparisons to see which of the groups the difference was between.
You would have to examine pair wise comparisons to see which of the groups the difference was between.
2. You would have to examine Pearson's correlations to see which of the groups the difference was between.
3. You would have to examine pair wise correlations to see which of the groups the difference was between.
4. You would have to examine pair wise comparisons to see which of the groups the difference was between.
You would have to examine pair wise comparisons to see which of the groups the difference was between.
14 :: Consider the output displayed on p. 470. What is the F-Value associated with the effect of age?
1. 23.091
2. 40.509
3. 71.187
4. 7.133
40.509
2. 40.509
3. 71.187
4. 7.133
40.509
15 :: What would the degrees of freedom be if you were reporting the results of the effect of Age from the output on p. 470?
1. 2, 30
2. 2, 26
3. 1, 29
4. 3, 26
2, 26
2. 2, 26
3. 1, 29
4. 3, 26
2, 26
16 :: Using the example in the text book (which begins on p. 471), which variable is the covariate in this study?
1. Errors on a driving simulator.
2. Driving experience.
3. Alcohol condition.
4. Both alcohol level and driving experience.
Driving experience
2. Driving experience.
3. Alcohol condition.
4. Both alcohol level and driving experience.
Driving experience
17 :: The adjusted group mean for the DV has been adjusted to standardize it with the other groups based on the grand mean for the covariate.
* True
* False
TRUE
* False
TRUE
18 :: Look at the output on p. 470. What is the overall effect of age?
* 0.882
* 0.118
* 0.96933
* <.001
0.882
* 0.118
* 0.96933
* <.001
0.882
19 :: Look at the output on p. 470. What is the overall effect of the grouping?
1. 0.391
2. 0.882
3. 0.14265
4. 0.609
0.609
2. 0.882
3. 0.14265
4. 0.609
0.609
20 :: Look at the output on p. 470. Which of the following statements is true of the effect of age and group differences?
1. The effect of group differences and the effect of age cannot be compared as they are measured differently and represent different variables.
2. The effect of group differences is larger than the effect of age.
3. The effect of group differences and the effect of age are roughly the same.
4. The effect of group differences is smaller than the effect of age.
The effect of group differences is larger than the effect of age.
2. The effect of group differences is larger than the effect of age.
3. The effect of group differences and the effect of age are roughly the same.
4. The effect of group differences is smaller than the effect of age.
The effect of group differences is larger than the effect of age.