Entry requirements

To be admitted to the course, undergraduate degree of at least 180 credits is required, of which at least 90 credits are within Social Science, or equivalent and the course Quantitative methods, 7.5 credits (second cycle) or a basic course in Statistics, 15 credits (first cycle), or equivalent

Learning outcomes

A student who has taken the course should:

- have obtained practice in applying multivariate statistical methods for the social and the behavioural sciences

- be able to chose appropriate statistical method based on prevailing assumptions

- be able to use the statistical software package SPSS and Lisrel

- be able to interpret the results of a statistical analysis

- be aware of limitations and possible sources of errors in the analysis

- have ability to present results of statistical analysis

Content

Practical application of multivariate methods used within the social and the behavioural sciences. Basic concepts for Statistical inference. Cleaning and Transforming data. Relationships between variables, Correlation, Simple and Multiple Regression, Logistic Regression. Factor Analysis and Structural Equations modelling (SEM). ANOVA, MANOVA and Non-parametric analysis.

Instruction

Teaching is given in the form of lectures and seminars.

Assessment

Examination and assignments.

Other regulations

The course may be part of the Master Programme in Social Sciences. The course can also be read as a separate course.