Course - Applied Quantitative Research Methods of Analysis - PLU8012
Applied Quantitative Research Methods of Analysis
About
About the course
Course content
This is an introductory course in quantitative methodology. The course prepares for design, data collection, and analysis of quantitative data. It combines thory and practical analysis of data on IBM SPSS.
Learning outcome
The goal is to introduce students to quantitative methods as part of phd education.
Knowledge:
- The candidate has knowledge of fundamental statistical concepts and analyses in quantitative methodology including factor- and regression analysis.
Skills:
- The candidate can prepare survey inquiries, prepare analyses and do data analysis in IBM SPSS using common analytical techniques.
General competence:
- Candidates are capable to do research projects, which involve using quantitative methods, write scientifically about the project and the results and be able to use their skills to tutor candidates who use quantitative methods.
Learning methods and activities
The course is block-scheduled with lectures, discussions and work with statistical data on SPSS.
Participants may use their own dataset or data provided by the course. Lectures are based on practical research combined with literature.
Teaching combines theoretical understanding, tutorial and practical analytic skills.
Teaching uses little practical mathematics in order to gain knowledge.
Assessments are based on submission of a paper with 10-12 pages based on analysis of an empirical example from own or borrowed dataset.
There is a maximum of 25 students in the course.
With less than 5 applicants registered for the course, the Department for Teacher Education has the right to cancel the course.
Compulsory assignments
- Krav til obligatorisk oppmøte på samlingene: 80 %
Recommended previous knowledge
The course is an introductory course and requires no prior knowledge of quantitative methodology.
Required previous knowledge
Master’s degree or equivalent university degree, where Ph.D. students will be given first preference for admission.
Course materials
The course uses the following literature (in Norwegian)
Christophersen, K. A. (2012). Databehandling og statistisk analyse med SPSS. Oslo: Akademika. Ringdal, K. (2013).
Enhet og mangfold. Bergen: Fagbokforlaget. Ulleberg, P., & Nordvik, H. (2001).
Innføring i faktorteori og faktoranalyse. Trondheim: Tapir. Utdelte artikler - kompenidum.
Equivalent English literature is possible.
The participants need to have PC/MAC with latest version of IBM SPSS.
Subject areas
- School Development