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POLS 256: Seminar in Public Opinion and Text Analysis

This course develops and builds upon theories of public opinion, primarily in the context of American politics. We will review some of the foundational texts in public opinion and how it is typically measured. Recognizing the rise of new and big data, we turn to content analysis and automated textual methods as a way of measuring public opinion. This is a completely new area in political science research, so the latter portion of the course focuses mostly on methods of textual analysis with the goal of measuring hard to measure concepts unavailable to survey researchers.

Syllabus
File Size: 70 kb
File Type: pdf
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Readings

Feinerer (2011)
File Size: 182 kb
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Grimmer & Stewart (2012)
File Size: 526 kb
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Quinn et al (2010)
File Size: 494 kb
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Stewart (2010)
File Size: 226 kb
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Feinerer Hornik Meyer (2008)
File Size: 733 kb
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Grun and Hornik (2011)
File Size: 741 kb
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Jurka et al (2012)
File Size: 118 kb
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Converse (1964)
File Size: 4614 kb
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Code

Week 1 R Code
File Size: 4 kb
File Type: r
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Week 3 R Code
File Size: 1 kb
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Week 4 R Code
File Size: 2 kb
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Week 5 R Code
File Size: 2 kb
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Week 6 R Code
File Size: 1 kb
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R Bug fixes
File Size: 3 kb
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Week 7 R Code
File Size: 1 kb
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Week 9 R Code
File Size: 3 kb
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Homework

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  • Home
  • Research
  • Data
  • CV
  • Blog
  • Text Analysis
  • Travel
  • posc_207
  • POSC 256 Winter 19
  • pomona