Methodological rigor and transparent research practices provide the cornerstone of good social science research. As such, I have worked to orient our department's required political science research methods course around more sophisticated statistical methods and "good research practices." The resulting course places a great degree of emphasis on research transparency, including the public dissemination of data and statistical software files showing data analysis code. (For a summary discussion of these practices see The Data Access & Research Joint Statement). Subsequent upper level courses build on this course content.

Below you will find a copy of the course syllabus, example assignments and evaluation instruments, and PowerPoint presentations used thus far this semester. As students turn in their problem sets, I will post problem sets and answer keys. 

Political Science Research Methods Syllabus

Research Paper Instructions

Research Paper Grading Rubric

The following links provide PowerPoint Presentations used in the research methodology course. 

Introduction to Research Methods

The Logic of Scientific Discovery/DA-RT

Measurement

Describing Variables

Basic Mathematical Concepts

Proposing Explanations, Framing Hypotheses, and Making Comparisons

Foundations of Statistical Inference

Research Design and the Logic of Control

Tests of Significance and Measures of Association

Correlation and Linear Regression

Hypothesis Testing, Effect Size, and Confidence Intervals: Two-Sample Designs

I use the following PowerPoint presentations as inclusions about transparency in research inluded in all upper level classes.

Observational Methods

Experimental Methods