Course - Research Methodology - Quantitative - PSY3100
Research Methodology - Quantitative
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 |
Subject areas
- Psychology