There is a research project, where you predict that college sports fans will be

Question

There is a research project, where you predict that college sports fans will be more likely to be partisans since their behavior of supporting sports teams shows a “participatory” personality that will make them more likely to take sides in politics as well. To test this hypothesis, you have a survey of 1200 Idaho residents. Assume this survey is representative of the population of the state of Idaho. Any missing data in your survey is already coded as missing, so there is no need to recode for missing data. The codebook for this dataset is on the last page of the assignment.

1) Explain, in terms of direction and statistical significance, what beta coefficient on your independent variable would support your hypothesis (4 points)

2) Imagine you think that the effect of being a college sports fan on being a partisan is higher for Boise State graduates than anyone else, since Boise State sports are obviously much better than any other university. Explain how you would test this relationship, including variable coding and what variables you would include in your model (10 points).

3) Do you think your results are generalizable to the population of Idaho as a whole? To the population of the United States as a whole? Explain why or why not (8 points).

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Ivariabe Descriation 2 A 4 -children Has Children? LNochildren Haschaldren college fan College sports fan Not a college sports fan LCollege sports fan Did donate education Level of education 5 Less than HS degree Some college Ludegree degree 6 Employed Full Time Employed Part Time LUnemployed globaluanm LIs global warming happening No LYes but natural Lhumans Very liberal Liberal LSlight liberal Moderate LSlight conservative Cons cons Continuous A BSU of Idaho Idaho State Lother volunteer Did you volunteer for a campaien in 2016 Did not voluntee Did volunteer

Explanation / Answer

1) Here the beta coeffecient has to be positive for variables like- partianship, vote16, volunteer, university, ideology, education, employment, donate. (Note: Without data provided, i think these variables are of significance) But we have to do a dummy variable creation in the form of 0 an 1, since these variables are categorical.

2) To see if Boise State graduates are more into politics than other graduates, we can use the dummy variable created for university to see that. if we see that the variable is signifiacant (p value less than the 0.01 or 0.05), we can say that the variable is significant and does influence the political mind of the person. What has to be done is that ceate a dummy variable of 0 and 1, say if n universities are there, then n-1 dummy variables of 0-1 values. And then do the p value significance test for Boise State variable. Without the data available, the variables i think will be significant are- partianship, vote16, volunteer, university, ideology, education, employment, donate.

3) I don' t think that it can be generalized to the state (still possible to generalize for state) or country level, because of extremely small population size, compared to the size of the country as a whole. Also, the sample from this place is will be more biased for one type of outcome, whatever it is, since this place has limited options for people to spend the free time, restricted thoughts compared to more business cities etc.

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