HMM4101 – Research methods and statistics
Schedule, syllabus and examination date
- Quantitative methods
- The two variable regression model (Ordinary least square
- Hypothesis testing
- The problem of inference
- Simple methods for analysis of continuous and categorical data, including t-tests, non-parametric tests and tests for proportions
- Analysis of variance
- Multiple regression analysis
- Relaxing the assumptions in regression analysis: Multicollinearity, heteroscedasticity and autocorrelation
- Discrete choice models
The students will be able to specify statistical hypotheses,
select the appropriate statistical methods and perform the analysis by using statistical software. In addition, they will learn to evaluate the results.
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Formal prerequisite knowledge
The students should have an introductory course in statistics
Lectures, seminars and PC-exercise. Lectures will focus on the conceptual issues. Seminars will make students familiar with statistical programs (SPSS).
Two mandatory written assignments and a written examination.
The students must pass on both the written assignments to be allowed to sit for the written exam. If an assignments fails the student may re-deliver it within a week.
Examination support material
All written exam resources and a calculator are allowed
Language of examination
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
The mandatory written assignments are awarded eiher a pass or a fail grade. The pass/fail scale is applied as an independent scale with only two possible results.
Explanations and appeals
Resit an examination
In this course the exam is regularly scheduled each semester. It is not arranged make-up exam in this course, cf. § 5.5 i Forskrift om studier og eksamener ved Universitetet i Oslo.
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.