Info 271B

Quantitative Research Methods for Information Systems and Management

3 units

Course Description

The goal of this course is to provide students with an introduction to many different types of quantitative research methods and statistical techniques. This course will be divided into two sections: 1) methods for quantitative research and, 2) quantitative statistical techniques for analyzing data. We begin with a focus on defining research problems, theory testing, causal inference, and designing research instruments. Then, we will explore a range of statistical techniques and methods that are available for empirical research. Topics in research methods include: Primary and Secondary Data Analysis, Sampling, Survey Design, and Experimental Designs. Topics in quantitative techniques include: Descriptive and Inferential statistics, General Linear Models, and Non-Linear Models. The course will conclude with an introduction to special topics in quantitative research methods.

Prerequisites

None, though an introductory course in statistics is recommended.

Requirements Satisfied

MIMS: Social Science and Policy Requirement
Ph.D. Breadth — Social Aspects of Information
Ph.D. Major/Minor Areas — Social Aspects of Information

Last updated:

July 6, 2022