My New Project

Update 09/23/17:  I am switching to two proportion Z tests.  I am setting the population proportion to .5 to prevent an underestimation of variance.


This is a bit of a technical post,  I will have a better explanation later.

Post election, I have been working on a paper and thinking about what to do next.  I am really interested in breaking down voter behavior in the swing states. I have collected exit poll data from the 11 swing states.  I want to test if voter behavior across the swing states was consistent with the national vote or the swing state average.

For phase 1 of this experiment, I will run Chi-Square Test of Homogeneity between a swing state compared to the average of the other swing state and the national vote.  I will look at each category four different ways: Trump vs. not Trump,  Clinton vs. not Clinton, Other vs Clinton and Turmp, and overall.  This will probably be around 1500 tests.   I will have an initial alpha level of 0.05.  I will then run a two proportion z-tests on the tests were the p value was less than 0.05.  I will do the z-tests on the direction that matches the data.

For phase 2, I will collect data from 2008 and 2012 in states that have a statistically significant portion of significant tests.  Then I will compare voting behavior with Chi-Square Test of Homogeneity on: 2008 vs 2012,  2008 vs 2016, and 2012 vs 2016.  Then significant results will be tested using a two proportion z-test.

I am going with the Chi-Square test first for two reasons.  The Chi-Square test is not subject to errors in the direction of an effect, and the Chi-Square test is less sensitive than a two proportion z-test.  I have to be very careful in my interpretation of the results since an analysis this large means that there is a big  potential for false positives and false negatives. This analysis will probably take me most of next year. I’ll give an update on my progress in December.

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