course-details-portlet

PSY3100

Research Methodology - Quantitative

Credits 7.5
Level Second degree level
Course start Autumn 2026
Duration 1 semester
Language of instruction Norwegian
Location Trondheim
Examination arrangement School exam

About

About the course

Course content

The course builds upon regression analysis, analysis of variance and principal component/factor analysis. In so doing, the course treats some advanced first-generation statistical analyses such as logistic regression, repeated measures and mixed design ANOVA that are commonly used in the field of psychology. Furthermore, the course provides a thorough introduction to a second-generation multivariate statistical analysis, covering path analysis and structural equation modelling. In the treatment and presentation of these statistical analyses, the emphasis is put on a strong conceptual understanding as well as applications with the help of relevant statistical software.

Learning outcome

Knowledge:

- The candidate has acquired an advanced understanding of general linear modelling.

- The candidate has gained solid insight into traditional multivariate statistical analyses.

- The candidate has in-depth knowledge about squares structural equation modelling.

Skills:

- The candidate masters choosing the most suitable multivariate analyses for diverse research inquiries.

- The candidate can independently apply these analytical methods in the context of their master’s thesis.

- The candidate can apply and interpret the resulting output with the help of statistical software.

General competence:

- The candidate possesses profound comprehension of the necessity for employing a multivariate approach in data analysis.

- The candidate demonstrates sound understanding of the advantages and need for employing appropriate techniques for analysing latent variables.

- The candidate can independently apply the statistical methods acquired during the course to real-life work scenarios.

Learning methods and activities

Teaching in Blocks: lectures and practical exercises.

Compulsory assignments

  • Group project

Compulsory assignments

  • Complete a group project

Further on evaluation

You can sign up to the written exam in the following semester if you fail.

Specific conditions

Admission to a programme of study is required:
Community, Health and Environmental Psychology (MSHMPSY)
Psychological Science and Technology (MPVTPSY)
Work and Organizational Psychology (MAOPSY)

Required previous knowledge

Admission to a programme of study is required:

Work and Organizational Psychology - Master's Programme

Community, Health and Environmental Psychology - Master's Programme

Psychological Science and Technology - Master's Programme

Clinical Psychology Programme, 6 years (CPSYR)

Credit reductions

Course code Reduction From
PSY3001 7.5 sp Autumn 2012
This course has academic overlap with the course in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Psychology

Contact information

Course coordinator

Lecturers

Department with academic responsibility

Department of Psychology

Examination

Examination

Examination arrangement: School exam
Grade: Letter grades

Ordinary examination - Autumn 2026

School exam
Weighting 100/100 Examination aids Code E Duration 4 hours Exam system Inspera Assessment Place and room Not specified yet.

Ordinary examination - Spring 2027

School exam
Weighting 100/100 Examination aids Code E Duration 4 hours Exam system Inspera Assessment Place and room Not specified yet.