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Instructions: Recall the Fake News study from your t -Test crash course. Let's add another condition to that study so that we can use a

Instructions:Recall the "Fake News" study from yourt-Test crash course. Let's add another condition to that study so that we can use a One Way ANOVA.

The prevalence of "Fake News" over the last several years has crept its way into a lot of people's lives, especially on social media. But how do people respond when they are called out for posting fake news? Imagine we run a study where a Facebook user posts a fake news story on his timeline. When other people point out that the news is "fake", the user responds in one ofthreeways. In the "Rude Disagree" condition, the user gets angry, calling those who said his post was fake "morons, losers, and uninformed idiots", and rudely disagrees that he shared fake news (nice guy, huh!). In the "Polite Disagree" condition, the user still disagrees that he posted fake news, but he does so by politely disagreeing that he shared fake news (noting "I know you might have good intentions, but the news I posted is actually correct"). Finally, in the "Politely Agree" condition, the user politely agrees that he did share fake news. Participants read one of these three conditions and are asked to rate the statement, "The Facebook user seems like a rude person" on a scale ranging from 1 (Strongly disagree) to 6 (Strongly agree).

1). What is the independent variable in this study?

A. Whether the Facebook user intentionally meant to share fake news, unintentionally

shared fake news, or posted accurate news.

B. Ratings of "The Facebook user seems like a rude person".

C. Ratings of "The Facebook user posted fake news".

D. Whether the Facebook user rudely disagreed, politely disagreed, or politely agreed that

he shared fake news.

E. There is too little information in this study to determine the independent variable.

2). What is the dependent variable in this study?

A. Whether the Facebook user intentionally meant to share fake news, unintentionally

shared fake news, or posted accurate news.

B. Ratings of "The Facebook user seems like a rude person".

C. Ratings of "The Facebook user posted fake news".

D. Whether the Facebook user rudely disagreed, politely disagreed, or politely agreed that

he shared fake news.

E. There is too little information in this study to determine the independent variable.

You run a One Way AVOVA on this data set and get the following SPSS output. Using this output,

interpret the information.

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Descriptives The Facebook user seems like a rude person 95% Confidence Interval for Mean N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum Rudely Disagreed 43 4.51 .768 117 4.28 4.75 3 6 Politely Disagreed 43 3.60 1.003 153 3.30 3.91 2 5 Politely Agreed 43 4.00 .976 .149 3.70 4.30 2 6 Total 129 4.04 987 087 3.87 4.21 2 6ANOVA The Facebook user seems like a rude person Sum of Squares df Mean Square F Sig. Between Groups 17.783 2 8.891 10.468 000 Within Groups 107.023 126 .849 Total 124.806 128Multiple Comparisons Dependent Variable: The Facebook user seems like a rude person Tukey HSD (1) Condition (1 = Rudely (J) Condition (1 = Rudely Disagreed, 2 = Politely Disagreed, 2 = Politely Mean 95% Confidence Interval Disagreed, 3 = Politely Disagreed, 3 = Politely Difference (1- Agreed) Agreed) J ) Std. Error Sig. Lower Bound Upper Bound Rudely Disagreed Politely Disagreed .907 .199 .000 .44 1.38 Politely Agreed .512 .199 030 .04 .98 Politely Disagreed Rudely Disagreed -.907 .199 000 -1.38 -.44 Politely Agreed -.395 .199 .119 -.87 08 Politely Agreed Rudely Disagreed -.512 199 030 -.98 -.04 Politely Disagreed .395 199 .119 -.08 .87 *. The mean difference is significant at the 0.05 level.Homogeneous Subsets The Facebook user seems like a rude person Tukey HSD Subset for alpha = 0.05 Condition (1 = Rudely Disagreed, 2 = Politely Disagreed, 3 = Politely Agreed) N 2 Politely Disagreed 43 3.60 Politely Agreed 43 4.00 Rudely Disagreed 43 4.51 Sig. .119 1.000

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