course-details-portlet

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). Supervision of term paper. The paper is to be an independent discussion of a topic taught in lectures. If 6 or fewer students sign up for a planned course during the first 2 teaching weeks, the course will be offered as an instructed reading course.

Further on evaluation

Form of assessment: Individual paper. The 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. An identical version of the exam paper cannot be used directly in the PhD thesis as an article or a chapter. A revised version of the exam paper may be included in the thesis. When repeating a failed exam, the candidate can submit a revised version of a previously submitted paper in the course. If the submission is a revised version of a previously submitted paper, this must be specified in the paper.

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.

Credit reductions

Course code Reduction From To
SOS3515 10.0 AUTUMN 2024
More on the course

No

Facts

Version: 1
Credits:  10.0 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English, Norwegian

Location: Trondheim

Subject area(s)
  • Social Sciences
  • Sociology
  • Political Science
Contact information
Course coordinator:

Department with academic responsibility
Department of Sociology and Political Science

Timetable

List view
Calendar view

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.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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