Fortgeschrittene Verfahren der Querschnittsanalyse: Advanced Regression Analysis using Stata
- Dozentinnen/Dozenten
- Paul Löwe, M.A., Dr. Peter Valet
- Angaben
- Seminar
Rein Online 4 SWS
Zeit: Do 12:00 - 16:00, RZ/00.07 Gespeicherte Informationen: Zeit: Do 12:00 - 16:00, RZ/00.07
- Voraussetzungen / Organisatorisches
- Requirements:
Students have to be familiar with the contents of the compulsory lecture “Research design".
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 (https://univis.uni-bamberg.de/form?dsc=anew/lecture_view&lvs=sowi/sozwiss/metho/einfhr_4&anonymous=1&ref=tlecture&sem=2021s&tdir=sowi/sozwiss/haupts/method)
Registration:
Please register in the VC of the event until 08.04.2021. Only the persons who are registered in the VC will receive all information about the course. Link VC (https://vc.uni-bamberg.de/course/view.php?id=47676.*)
Type of instrutuction
Combination of video screencasts and live sessions via MS Teams
Language of instruction:
English
Module exam:
Portfolio in English or German (time: 3 months).
- Inhalt
- Course content:
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).
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 choose the appropriate regression models following 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.
- 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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