ØAMET4000 Applied Statistical Methods Course description

The course builds on a course in social science research methods at bachelor's degree level and a foundation course in statistical methodology. The course provides in-depth knowledge of key quantitative analysis methods in economics and social science.

The course covers the following topics: the research proces (use of models, forms of validity, causality, reporting and presentation), quantitative data (different data sources: experiment, survey, naturally occurring data and register data; multi-item measures: formative and reflective measurement models), analyses (multippel regression analysis (OLS), logistic regression analysis, factor analysis, reliability analysis).

Through a series of exercises, students develop their skills in practical use of quantitative data. Knowledge of spreadsheets (such as Excel) or statistical software (like SPSS, Jamovi, Stata or R) is an advantage.

This course is a compulsory common course that students are recommended to take in the first semester of the programme.

Language of instruction is English.

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After completing the course, the student should have the following overall learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student

• in-depth knowledge of relevant analysis methods
• insight into the use of quantitative data in academic work and professional life
• an understanding of how models are used in social sciences
• an understanding of the importance of relating the research question, context and data to the choice of method

Skills

The student is capable of

• analyzing quantitative data to answer research questions
• relating research questions, context and data to the choice of method
• planning own quantitative research and assess the results of others

General competence

The student can

• assess relevant issues related to quantitative research methods
• apply knowledge and skills in obtaining and analyzing relevant data sources
• interpret and communicate results from quantitative empirical investigations
• communicate about quantitative issues with specialists and to the general public

Varied forms of teaching will be used, and the course will combine lectures, guest lectures, class discussions and practical computer exercises.

The following coursework requirements must have been approved in order for the student to take the exam:

• Coursework 1: Five written assignments with a scope of 4-7 pages each. The assignments are distributed throughout the semester. Each coursework requirement involves carrying out and interpreting quantitative analyses in line with topics discussed at the lectures. The coursework requirements must be submitted in groups of 5-6 participants.

All required coursework must be completed and approved by the given deadline in order for the student to take the exam. If one or more coursework requirements have not been approved, the student will be given one opportunity to submit an improved version by the given deadline.

The exam in the course is a supervised exam of 4 hours. 

The following aids are permitted:

• Calculator (see regulations for the use of calculators in the programme description)

Grade scale A-F

The exam papers are assessed by one internal and one external examiner.

At least 25% of the exam papers will be assessed by two examiners. The grades awarded for the papers assessed by two examiners form the basis for determining the level for all the exam papers.