Course - Advanced statistics and methods in social sciences - SOS8535
SOS8535 - Advanced statistics and methods in social sciences
About
Examination arrangement
Examination arrangement: Assignment
Grade: Passed / Not Passed
Evaluation | Weighting | Duration | Grade deviation | Examination aids |
---|---|---|---|---|
Assignment | 100/100 |
Course content
The content of the course varies. It may be given as an overview course, covering several statistical techniques and methods - such as multilevel analysis, panel data analysis or structural equation models - or it may be concentrated on one technique. The course may also link the analytical techniques to advanced rules and aspects of conducting social research, including research designs and data collection/evaluation techniques. Please consult the course coordinator to receive more information about the exact course content of this year.
Learning outcome
Knowledge - the student shall:
- achieve insight and understanding into one or more techniques in applied statistical data analysis.
Skills - the student shall demonstrate the ability to:
- be able to apply the learned techniques in a practical manner (using Stata and/or R).
- demonstrate the ability to use one of the analytical techniques addressed during the course in an independent manner through written work.
Learning methods and activities
Intensive lectures/seminars (full days), normally during one week in the beginning of the semester (often the very first week). The sessions consist of a mix of theory and practice, that is, the presented topics and techniques will be subsequently applied in a practical manner (using Stata and/or R).
Further on evaluation
Form of assessment: Individual term paper. The term paper should be an empirical research paper using one of the analytical techniques from the course. It should follow the logic of academic articles (intro, theory, data/methods, analysis/results and conclusion/discussion (plus appendix)) and may have a length of 5600-7500 words.
Recommended previous knowledge
See required previous knowledge
Required previous knowledge
Master's degree in Sociology/Political Science or equivalent. Knowledge of basic statistical methods such as OLS and logistic regressions.
Course materials
To announced at the beginning of the course
No
Version: 1
Credits:
10.0 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: English, Norwegian
Location: Trondheim
- Social Sciences
- Sociology
- Political Science
Department with academic responsibility
Department of Sociology and Political Science
Examination
Examination arrangement: Assignment
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD Assignment 100/100 INSPERA
-
Room Building Number of candidates - Spring ORD Assignment 100/100 INSPERA
-
Room Building Number of candidates
- * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"