30221

SoSe 17: Multivariate Data Analysis using Stata

Paul Schmelzer

Information for students

Requirements: Regular participation Homework assignments (80% points of your homework are required to pass the seminar) Exam: Short seminar paper

Comments

The course provides an introduction to statistical concepts and methods used in social science. It is aimed to provide you insights about how quantitative data should be organized and how these data can then be utilized for information. This is an applied course where the main focus will be on (1) the application of multivariate techniques with non-continuous outcomes (logit, regressions for count data etc.) to answer empirical questions and (2) the interpretation of quantitative evidence. The course will also repeat basic concepts of statistical inference (confidence interval and hypotheses testing). Before we start with non-continuous outcomes linear regression model will be used as starting point. Furthermore, the course will also provide you with an introduction to program package “Stata”, which become widely used by social science researchers. Classes will be organized as follows. In first half of a session (=45 minutes) I will provide you with an introduction to the underlying statistical theory behind each statistical method and demonstrate several examples of how to apply such statistical techniques. In the second half of a session (=45minutes) you will apply these techniques in laboratory sessions. close

13 Class schedule

Regular appointments

Thu, 16:00 - 18:00 13 Class schedule

Thu, 2017-04-20 16:00 - 18:00

Lecturers:
Dr. Paul Schmelzer