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Fortgeschrittene Verfahren der Querschnittsanalyse: Advanced Regression Analysis using Stata
- Dozentinnen/Dozenten
- Prof. Dr. Michael Gebel, Daniel Zeddel, M.A.
- Angaben
- Seminar
Rein Präsenz 4 SWS, Unterrichtssprache Englisch
Zeit und Ort: Mo 14:00 - 18:00, RZ/00.06
- Voraussetzungen / Organisatorisches
- Basic knowledge or courses required:
Students have to be familiar with the contents of the compulsory lecture “Research design” and the basics of multiple linear and binary logistic regression analysis. Moreover, students are required to be familiar with the statistics package Stata. These skills could either be acquired or refreshed in self-studies or by attending an online tutorial course. Link to Stata Tutorial
Recommended semester: 2nd semester or higher (preferably after taking the research design course)
Registration:
Please register in the VC course of the event until 11.04.2024. Only the persons who are registered in the VC will receive all information about the course.
Module-related examination:
Portfolio (time: 3 months) in English or German
Accessibility: Please contact Ms. Ulrike Sennefelder (ulrike.sennefelder@uni-bamberg.de) in advance of the course if you have any needs with regard to barrier-free participation in the course.
- Inhalt
- Inhalt:
Learning targets:
The 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 according to the ideas of modern causal analysis,
-to carry out regression analyses (multiple linear, binary logistic, ordinal logistic, and multinomial logistic) using the statistics package Stata,
-to interpret and present the results of regression analyses in tables and graphs.
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 is structured around four key topics of cross-sectional data analysis using parametric regression techniques: (1) multiple linear regression, (2) binary logistic regression, (3) ordinal logistic regression, and (4) 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 sociological questions and data of the German Social Survey (ALLBUS).
- Englischsprachige Informationen:
- Title:
- Advanced Techniques in Cross-Sectional Analysis: Advanced Regression Analysis using Stata
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 30
- Institution: Lehrstuhl für Soziologie, insbes. Methoden der empirischen Sozialforschung
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