Fortgeschrittene Analysemethoden der quantitativen Sozialforschung: Advanced regression analysis using Stata (A)

Dozent/in:

Jonas Voßemer

Angaben:

Seminar, 4 SWS, ECTS: 6

Termine:

Mi, 14:00 - 18:00, RZ/00.06

Voraussetzungen / Organisatorisches:

Requirements:

You have to be familiar with the statistics package Stata. If you are not familiar with it, you can either acquire or refresh the necessary skills via self-studies or attend a tutorial course (taught in German) at the beginning of the winter term.

Link to the Stata tutorial course

If you want to participate in the tutorial course, please register via the virtual campus (VC).

Link to the Stata tutorial course VC

Registration:

An advanced registration is not required (e.g. via Flexnow, via email). Further information will be shared during the first meeting.

Module exam:

Seminar paper written in English or German (time: 3 months).

Inhalt:

Course contents:

We will shortly repeat the foundations of bivariate and multiple linear regression analysis and, then, focus on advanced topics of multiple regression analysis. The course content is structured around four key topics of cross-sectional data analyses using parametric regression techniques: multiple linear regression, binary logistic regression, ordinal logistic regression, and multinomial logistic regression.

In lab sessions participants will learn how to implement regression analyses using the statistics package Stata. The lab sessions and the seminar theses will draw on topical sociological questions and data of the German Social Survey (ALLBUS).

Learning targets:

The central aim of this course is to empower participants to critically discuss basic concepts and assumptions of multiple linear and logistic regression analyses, to conduct theory-driven empirical research, to choose and specify the appropriate regression models following the ideas of modern causal analysis, to independently carry out multiple linear regression as well as binary logistic, ordinal logistic, and multinomial logistic regression analyses using the statistics package Stata, and to correctly interpret and clearly present the results of regression analyses in tables and graphs.

Fortgeschrittene Analysemethoden der quantitativen Sozialforschung: Advanced regression analysis using Stata (B)

Dozent/in:

Jonas Voßemer

Angaben:

Seminar, 2 SWS, ECTS: 6

Termine:

Mi, 14:00 - 18:00, RZ/00.06

Voraussetzungen / Organisatorisches:

Requirements:

You have to be familiar with the statistics package Stata. If you are not familiar with it, you can either acquire or refresh the necessary skills via self-studies or attend a tutorial course (taught in German) at the beginning of the winter term.

Link to the Stata tutorial course

Inhalt:

Course contents:

We will shortly repeat the foundations of bivariate and multiple linear regression analysis and, then, focus on advanced topics of multiple regression analysis. The course content is structured around four key topics of cross-sectional data analyses using parametric regression techniques: multiple linear regression, binary logistic regression, ordinal logistic regression, and multinomial logistic regression.

In lab sessions participants will learn how to implement regression analyses using the statistics package Stata. The lab sessions and the seminar theses will draw on topical sociological questions and data of the German Social Survey (ALLBUS).

Learning targets:

The central aim of this course is to empower participants to critically discuss basic concepts and assumptions of multiple linear and logistic regression analyses, to conduct theory-driven empirical research, to choose and specify the appropriate regression models following the ideas of modern causal analysis, to independently carry out multiple linear regression as well as binary logistic, ordinal logistic, and multinomial logistic regression analyses using the statistics package Stata, and to correctly interpret and clearly present the results of regression analyses in tables and graphs.