3). We are going to run some analyses on the data (Use the DataAnalysisFIU#1GlorySummer.sav SPSS file). First, use the independent variable and the nominal dependent variable in an SPSS analysis. (Hint: Your scale of measurement for the nominal dependent variable should let you know which statistical test to use!). Choose the correct analysis, write-up, and conclusion from the options below (1.5 points) A. We ran a chi square using team feedback as the independent variable (Success, Average, Failure) and whether participants took a badge as the dependent variable. A significant effect emerged, 2 (2) = 26.50, p < .001. The majority of participants in the success condition (80%) took a badge while the majority of participants in the failure condition (77.5%) did not take a badge. Only about half of the participants in the average condition (52.5%) took a badge. This indicates that perceptions of success did encourage students to take a badge while perceptions of failure discouraged taking a badge. Cramer's V, which is appropriate for this design, was very strong. B. We ran a chi square using team feedback as the independent variable (Success, Average, Failure) and whether participants took a badge as the dependent variable. A significant effect emerged, 2 (1) = 26.50, p < .001. The majority of participants in the success condition (80%) took a badge while the majority of participants in the failure condition (77.5%) did not take a badge. Only about half of the participants in the average condition (52.5%) took a badge. This indicates that perceptions of success did encourage students to take a badge while perceptions of failure discouraged taking a badge. Cramer's V, which is appropriate for this design, was very strong. C. We ran a chi square using team feedback as the independent variable (Success, Average, Failure) and whether participants took a badge as the dependent variable. A significant effect did not emerge, 2 (2) = 26.50, p > .05. There was no difference in students taking a badge between the three conditions, indicating that the feedback did not impact participant willingness to take a badge. Cramer's V, which is appropriate for this design, was very weak. D. We ran a One Way ANOVA team feedback as the independent variable (Success, Average, Failure) and whether participants took a badge as the dependent variable. A significant effect emerged, F(2, 117) = 16.58, p < .001. Tukey post hoc tests showed that participants were more likely to take a badge in the failure condition (M = 1.78, SD = 0.42) than in both the success condition (M = 1.20, SD = 0.41) and the average condition (M = 1.48, SD = 0.51). Participants were also more likely to take a badge in the average condition than in the success condition. These results contradict our predictions.