Course - Quantitative method - ISA3003
Quantitative method
Choose study yearAssessments and mandatory activities may be changed until September 20th.
About
About the course
Course content
The course gives an introduction to the most important methods for collecting and analyzing quantitative data. It presents questions regarding the sampling, measurements, experiment and survey design, quantitative data analysis and statistical processing. SPSS is used.
Learning outcome
Knowledge - Students must:
- have an advanced understanding of methodological principles, core concepts and analyzes within quantitative research.
- have in-depth knowledge of possibilities and limitations related to conclusions based on statistical analyzes
Skills - Students must:
- be able to independently analyze, report and critically evaluate quantitative data, as well as master the most common statistical methods
- be able to read professional literature and research results in a critical way.
General competence - Students must:
- be able to use the statistical software SPSS
- be able to apply relevant theories and concepts in discussions about research methodology.
- be able to independently plan a project's research and analysis design and apply appropriate statistical analysis techniques.
Learning methods and activities
Compulsory participation in the pre-course. Teaching methods and activities: Lectures and excercises. There are exercises in analysis of a quantitative material.
Compulsory assignments
- Compulsory course
Further on evaluation
Exam is a term paper where the student will carry out a quantitative analysis of a chosen problem, from one dataset made available to the students.
The compulsory preparatory must be approved in order to take the final exam in the course. The compulsory preparatory course are approved for four years. If more than four years have passed since the preparatory course was approved, the student must carry out the preparatory course again in order to take the exam.
Course materials
The syllabus list is published on Blackboard at the start of the course.
Credit reductions
Course code | Reduction | From |
---|---|---|
HLS3002 | 7.5 sp | Autumn 2020 |
SARB3008 | 7.5 sp | Autumn 2020 |
Subject areas
- Social Sciences