Introduction to Political Science Research Methods

Office Hours

Carlisle Rainey (Instructor)

Allen 2051
Monday, Wednesday, 11am-12pm
Thursday, 2-3pm

Please reserve your slot here.

Austin Johnson (TA)

Allen 2122
Tuesday, 1-4pm

Assigned Exercises

  • Chapters 1-6 [pdf]
  • Chapters 7-12 [pdf]
  • Chapters 13-27
  • Foundation [pdf]

Schedule

Jan 18: Introduction

  • assignment [pdf]
  • textbook [Amazon]
  • Foundation [Amazon]
  • syllabus [pdf]
  • New York Times, “For Today’s Graduate, Just One Word: Statistics” [web]
  • Chronicle of Higher Education, “Liberal-Arts Majors Have Plenty of Job Prospects…” [web]
  • Hans Rosling talk [web]
  • Gapminder World [web]

Jan 20: Questions

  • assignment [pdf]
  • notes [pdf]

Jan 23: Models

  • assignment [pdf]
  • notes [pdf]
  • slides [pdf]
  • Steven Johnson’s talk “Where Good Ideas Come From” [web]
  • R [web]
  • RStudio [web]

Jan 25: Computing

  • assignment [pdf]
  • notes [pdf]

Jan 27: Loading Data

Jan 30: Causal Inference

  • assignment [pdf]
  • Computing Assignment 2 [pdf] [key]
  • slides [pdf]

Feb 1: Histograms

  • assignment [pdf]
  • handedness survey [pdf]
  • submit handedness survey [web]
  • code to load handedness data [gist]

Feb 3: Histograms in R

  • assignment [pdf]
  • notes [web]
  • slides explaining data frames [web]

Feb 6: Average and SD

Feb 8: Average and SD in R

Feb 10: Normal Approximation

  • assignment [pdf]
  • Computing Assignment 4 [pdf] [key]

Feb 13: ECDFs in R

  • assignment [pdf]
  • notes [web]

Feb 15: Measurement

  • assignment [pdf]
  • Computing Assignment 5 [pdf] [key]
  • survey [web]
  • leadership extremity exercise [pdf]
  • slides [web]

Feb 17: Survey Measurement

  • assignment [pdf]
  • slides [pdf]
  • web form [web]

Feb 20: Review

Feb 22: Exam 1

  • study guide [web]

Feb 24: Scatterplots and Correlation, Part 1

  • assignment [pdf]
  • survey [web]
  • Writing Assignment 1 [web]
  • measurement collection form [web]

Feb 27: Scatterplots and Correlation in R

  • assignment [pdf]
  • notes [web]
  • Rainey (2015) [pdf]
  • Clark, Golder, and Golder (2013, pp. 477-478) [pdf]
  • taiwan data set [rds]
  • gamson data set [rds]
  • bodies data set [rds]
  • run log [web]
  • code to load run log [gist]

Mar 1: Scatterplots and Correlation, Part 2

  • assignment [pdf]
  • Computing Assignment 6 [pdf] [key]
  • guns data set [rds]
  • Brady data score card [pdf]

Mar 3: Regression, Part 1

  • assignment [pdf]
  • rubric for writing assignment [web]

Mar 6: Regression, Part 2

  • assignment [pdf]
  • peer review questions [pdf]

Mar 8: Regression, Part 3

  • assignment [pdf]

Mar 10: Regression in R

  • assignment [pdf]
  • notes [web]
  • therms data set [rds]
  • taxes training set [rds]
  • taxes prediction set [rds]

Mar 20: Multiple Regression, Part 1

  • assignment: Have an excellent Spring Break!

Mar 22: Multiple Regression, Part 2

Mar 24: Multiple Regression in R

Mar 27: Review

  • assignment [pdf]
  • Computing Assignment 8 [pdf]
  • exam 2 study guide [web] Mar 29: Exam 2

Mar 31: Probability, Part 1

  • assignment [pdf]

Apr 3: Probability, Part 2

  • assignment [pdf]
  • code to create predictions [Gist]

Apr 5: Law of Averages

  • assignment [pdf]
  • codebook for taxes data [web]
  • Writing Assignment 2 [web]

Apr 7: Expected Value and Standard Error

  • assignment [pdf]

Apr 10: Discussion of Writing Assignment and the Box Model

  • box model code [Gist]

Apr 12: Central Limit Theorem

  • assignment [pdf]
  • rubric at the bottom of WA2 [web]

Apr 17: Sample Surveys

  • assignment [pdf]
  • upload initial predictions [web]
  • ANES codebook [pdf]
  • initial leaderboard [web]

Apr 19: The Accuracy of Percentages

  • assignment [pdf]
  • exercises to discuss [web]

Apr 21: The Accuracy of Averages

  • assignment [pdf]