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ID:
141827
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| Summary/Abstract |
In this article, we chronicle our experience in team-teaching large-lecture sections of “Introduction to American Government.” A dual-instructor approach allows us to accommodate 250 students, which obviates the need for five separate sections (and instructors) of the course. In addition, our “Crossfire Approach,” in which we engage one another in frequent and unstructured political debate, generates student interest in the course and in the political science major. Students who were enrolled in this course from 2007 through 2011 were significantly more likely to declare political science as their major than those who took it from any other instructor or either of us teaching it individually. This approach conserves departmental resources while simultaneously growing the program—a clear win-win situation.
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| 2 |
ID:
116452
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| Publication |
2012.
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| Summary/Abstract |
In this article results are presented from a conditional logit model of vice presidential selection that correctly predicts Mitt Romney selecting Paul Ryan as his vice presidential running mate in 2012. The model, which correctly predicts 14 of the 20 contested major party vice presidential nominations from 1960 through 2008, suggests that media exposure, political experience, having served in the military, age, and gender/racial/ethnic diversity are significant factors in selecting a vice presidential candidate in the modern era.
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| 3 |
ID:
149347
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| Summary/Abstract |
In this article, I present results from a conditional logit model of vice presidential selection that predicts the selection of vice presidential candidates for both Hillary Clinton and Donald Trump in 2016. Examining contested major party vice presidential nominations from 1960 through 2012, the model finds media exposure, political experience, military service, age, and demographic (gender/racial/ethnic) diversity to be significant factors in the selection process. In the end, the model correctly predicts 15 of the 21 (71.%) contested major party nominations during this period. For 2016 the model correctly and convincingly predicts Mike Pence as Donald Trump’s selection, but incorrectly predicts Cory Booker as Hillary Clinton’s pick. This reduces the overall percentage of correct predictions from 1960 to 2016 to 69.6% (16 of 23), but the approach taken here still represents a more appropriate way for social scientists to think about what factors drive vice presidential selection.
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