Assignment task:
SPSS Worksheet: Factorial Designs Assignment Instructions
Assignment Task 1: A consultant who specializes in political campaigns tests the success of three ads in convincing registered voters to support a candidate. He wants to test two groups of registered voters -those who currently express weak or strong affinity to the registered party. The ads run for 30 seconds and feature issues of the campaign. One ad presents the candidate's rationale for supporting issues, a second ad berates the opponent of the candidate and encourages people to vote for the candidate, and the third ad contrasts the two candidates' positions on issues. Registered voters (N = 42) with currently weak or strong ties are randomly assigned to view one of the three ads and then rate their likelihood (0%-100%) of voting for the candidate. The data for are shown in the table.
|
Rationale |
Berate opponent |
Contrast positions |
| weak |
70 |
25 |
95 |
| weak |
65 |
30 |
55 |
| weak |
90 |
55 |
70 |
| weak |
85 |
60 |
80 |
| weak |
65 |
35 |
60 |
| weak |
55 |
40 |
75 |
| weak |
35 |
65 |
100 |
| Strong |
70 |
15 |
90 |
| Strong |
40 |
75 |
40 |
| Strong |
60 |
30 |
55 |
| Strong |
30 |
35 |
85 |
| Strong |
25 |
45 |
80 |
| Strong |
50 |
60 |
55 |
| Strong |
85 |
40 |
85 |
Q1. What is one of the factors mentioned in this scenario? How many levels does it have and what are they? Is it BS or WS?
Q2. If the factor identified in the previous question was statistically significant, would you conduct a post hoc analysis? Why or why not (i.e. state the degrees of freedom). If you would conduct one, which post hoc test would be most appropriate and why?
Q3. What is the other factor mentioned in this scenario? How many levels does it have and what are they? Is it BS or WS?
Q4. If the factor identified in the previous question was statistically significant, would you conduct a post hoc analysis? Why or why not (i.e. state the degrees of freedom). If you would conduct one, which post hoc test would be most appropriate and why?
Q5. What is the factorial notation for this design?
In this scenario, what is the dependent variable?
Q6. Using SPSS, compute all the appropriate statistics to test your hypothesis. Make sure to include any tests for assumptions and that your output includes the effect size (partial eta squared). Copy / paste all relevant SPSS output in the space below (do NOT include output not identified above).Make sure it is all legible (e.g., paste as images so you can resize them so they are all within the template and visible).
Q7. Given the results of your analyses, create the most appropriate figure for this dataset. Number it as Figure 1. Create an appropriate title and Note, and make sure it is formatted using APA conventions (remember it must have axis titles and labels for factor levels!).
Q8. Write the results using professional conventions, modeling the Sample Results sections shown in your lecture videos for this week. Make sure to include a properly formatted callout to your figure and include all required components (e.g., statistical notation with exact p value and effect size, post hoc p values when appropriate). **remember we use the terms "statistically significant" or "non-significant".
Assignment Task 2:
A researcher is examining the impact of playing video games and/or sex on impulsivity scores. Impulsivity is measured by the Continuous Performance Task, which is an individually administered test that requires the participant to attend to and discriminate among stimuli. Higher scores indicate higher impulsivity. Male and female students agree to spend two days (8 hours a day) in the research lab. Sessions are counterbalanced, but one of the days the students are given unlimited access to video games, on the other day the students are only given access to books and board games (nothing electronic). The data for are shown in the table.
|
video game |
books / board games |
| male1 |
7 |
6 |
| male2 |
10 |
6 |
| male3 |
9 |
5 |
| male4 |
7 |
5 |
| male5 |
9 |
7 |
| male6 |
9 |
8 |
| female1 |
4 |
4 |
| female2 |
8 |
6 |
| female3 |
7 |
5 |
| female4 |
7 |
7 |
| female5 |
8 |
6 |
| female6 |
6 |
5 |
Q9. What is one of the factors mentioned in this scenario? How many levels does it have and what are they? Is it BS or WS?
Q10. If the factor identified in the previous question was statistically significant, would you conduct a post hoc analysis? Why or why not (i.e. state the degrees of freedom). If you would conduct one, which post hoc test would be most appropriate and why?
Q11. What is one of the factors mentioned in this scenario? How many levels does it have and what are they? Is it BS or WS?
Q12. If the factor identified in the previous question was statistically significant, would you conduct a post hoc analysis? Why or why not (i.e. state the degrees of freedom). If you would conduct one, which post hoc test would be most appropriate and why?
Q13. What is the factorial notation for this design?
In this scenario, what is the dependent variable?
Q14. Using SPSS, compute all the appropriate statistics to test your hypothesis. Make sure to include any tests for assumptions and that your output includes the effect size (partial eta squared). Copy / paste all relevant SPSS output in the space below (do NOT include output not identified above). Make sure it is all legible (e.g., paste as images so you can resize them so they are all within the template and visible).
Q15. Given the results of your analyses, create the most appropriate figure for this dataset. Number it as Figure 2. Create an appropriate title and Note, and make sure it is formatted using APA conventions (remember it must have axis titles and labels for factor levels!).
Q16. Write the results using professional conventions, modeling the Sample Results sections shown in your lecture videos for this week. Make sure to include a properly formatted callout to your figure and include all required components (e.g., statistical notation with exact p value and effect size, post hoc p values when appropriate). **remember we use the terms "statistically significant" or "non-significant".