PSCI1801 - Statistical Methods PSCI

Status
A
Activity
LEC
Section number integer
1
Title (text only)
Statistical Methods PSCI
Term
2023A
Subject area
PSCI
Section number only
001
Section ID
PSCI1801001
Course number integer
1801
Meeting times
MW 1:45 PM-3:14 PM
Meeting location
PCPE 200
Level
undergraduate
Instructors
Marc Trussler
Description
The goal of this class is to expose students to the process by which quantitative political science research is conducted. The class will take us down three separate, but related tracks. Track one will teach some basic tools necessary to conduct quantitative political science research. Topics covered will include descriptive statistics, sampling, probability and statistical theory, and regression analysis. However, conducting empirical research requires that we actually be able to apply these tools. Thus, track two will teach us how to implement some of these basic tools using the computer program R. However, if we want to implement these tools, we also need to be able to develop hypotheses that we want to test. Thus, track three will teach some basics in research design. Topics will include independent and dependent variables, generating testable hypotheses, and issues in causalit You are encouraged to register for both this course an PSCI 107 at the same time, as the courses cover distin but complementary, material. But there are no prerequi nor is registering for PSCI 107 necessary, in order to take this course. The class satisfies the College of A Science Quantitative Data Analysis (QDA) requirement.
Course number only
1801
Fulfills
Quantitative Data Analysis
Use local description
No