Please note: This page is archived from the last time I taught this course.
For materials for current courses, please go to my teaching page.

Welcome to the course page for RPOS/RPAD 517, Quantitative Research Methods!
This page contains supplemental information and links to course materials.



Videos, tutorials, and assignments

Day Videos Tutorials Assignments Other materials
1 Welcome Intro to R (R code) Day 1 Assignment template
Questions & models rpos517_Day1_A1.R
Computing rpos517_Day1_NB1.Rmd
2 1, 2, 3 Intro to Data (PDF, R code) Day 2
3 1, 2 Probability & Distributions (PDF, R code) Day 3
4 1, 2, 3, 4, 5, 6 Inference (PDF, R code) Day 4
5 Read OI chs. 5-6 Assocations (PDF, R code) Day 5
6 1, 2, 3, 4 Bivariate Regression (PDF, R code) Day 6
7 Read "Tidy Data" Data management (PDF, R code) Day 7
8 1, 2 Multiple regression (PDF, R code) Day 8
9 Readings only Diagnostics I (PDF, R code) Day 9
10 1 Diagnostics II (PDF, R code) Day 10
11 Read Brambor et al. Interaction terms (PDF, R code) Day 11 Marginal effects plot
12 Readings only Model checks (PDF, R code) Day 12
13 Readings only GLMs (PDF, R code) Day 13 (optional)
14 1 (optional) Grouped data (PDF, R code) Stata notes (zip)

Replication assignment

See the detailed instructions. This assignment has three parts: a replication plan outline (template), a replication script (template), and a replication memo (template).

Research plan

This research plan is similar to the type of document you would submit to pre-register a study at a journal. See issue 1, volume 21 of Political Analysis and the call for proposals for a forthcoming issue of Comparative Political Studies for details on pre-registrations. Your document needs to contain a summary of your research question, preliminary answer(s), at least one testable hypothesis, research design, and a data analysis plan. Materials: instructions, and guidelines for reviews.

Access to readings

Please see Blackboard for all readings that are not accessible online via Google Scholar from the UAlbany campus network.

Helpful R functions

R functions to help with assignments in this course are posted on my Github page.

In addition, we use the following packages to facilitate processing output from your data analysis for research papers. Have a look at the documentation and vignettes for these packages:

  • texreg for automatically creating publication-ready tables
  • knitr for combining data analysis and write-up
  • dplyr for managing and reshaping data
  • DAMisc for various helpful functions
  • ggplot2 for plotting data and various quantities of interest

Computing and workflow in general

Please see my computing page for information on workflow and computing for social scientists. We will also discuss these topics in class.