We are going to run some analyses on the data (Use theDataAnalysisFIU#1GlorySummer.savSPSS 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

Group of answer choices

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.

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.

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.

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.