collingwoodresearch

POSC 202A

​This course is an introduction to quantitative methods in political science. We will focus primarily on introductory statistical methods, including, but not limited to, descriptive statistics, probability, sampling distributions, parameter estimation, hypothesis testing, correlation, and bivariate regression analysis. Students will also spend considerable time learning the statistical computing language, R. This course is a prerequisite for POSC 202B.

Syllabus

collingwood_202a_syllabus.pdf
File Size: 118 kb
File Type: pdf
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Homework

hm_2.pdf
File Size: 178 kb
File Type: pdf
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hm3.pdf
File Size: 203 kb
File Type: pdf
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hm4.pdf
File Size: 123 kb
File Type: pdf
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Data/Code

data_sources.pdf
File Size: 65 kb
File Type: pdf
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lecture1_intro.r
File Size: 4 kb
File Type: r
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intro_r_new.r
File Size: 1 kb
File Type: r
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cces_immigrant.r
File Size: 1 kb
File Type: r
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posc_202a_10_20_17.r
File Size: 1 kb
File Type: r
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variance_sd.r
File Size: 1 kb
File Type: r
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posc_202a_class4.r
File Size: 3 kb
File Type: r
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final_models.csv
File Size: 126 kb
File Type: csv
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clint_trump_poll.csv
File Size: 7 kb
File Type: csv
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2013_imex_full_results.csv
File Size: 296 kb
File Type: csv
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imtx_2015.csv
File Size: 322 kb
File Type: csv
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fl_2012_county.csv
File Size: 46 kb
File Type: csv
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pres_results_county_2012.xlsx
File Size: 496 kb
File Type: xlsx
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county_vote_2016.rdata
File Size: 112 kb
File Type: rdata
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wa_poll_12.csv
File Size: 1074 kb
File Type: csv
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kcts9-wapoll_oct2012questionnaire_final.pdf
File Size: 220 kb
File Type: pdf
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anes_pilot.zip
File Size: 2495 kb
File Type: zip
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posc_202a_11_03_17.r
File Size: 4 kb
File Type: r
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posc_202a_11_17_17.r
File Size: 5 kb
File Type: r
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ca_analysis.r
File Size: 9 kb
File Type: r
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ca_polls.zip
File Size: 1821 kb
File Type: zip
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multiplot.r
File Size: 2 kb
File Type: r
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2015_igs_poll_thematic_weighted.dta
File Size: 6612 kb
File Type: dta
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ca_15_17_lc.dta
File Size: 278 kb
File Type: dta
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Slides
​

202a.lecture.2.ppt
File Size: 325 kb
File Type: ppt
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  • Home
  • Research
  • Data
  • CV
  • Blog
  • Text Analysis
  • Travel
  • posc_207
  • POSC 256 Winter 19
  • pomona