GRA 6036 Multivariate Statistics
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APPLIES TO ACADEMIC YEAR 2015/2016 |
GRA 6036 Multivariate Statistics
Responsible for the course
Steffen Grønneberg
Department
Department of Economics
Term
According to study plan
ECTS Credits
6
Language of instruction
English
Introduction
Learning outcome
- To understand and be able to apply some of the most known and modern multivariate statistical techniques.
- To illustrate the use of actual statistical software. It is the responsibility of the student to familiarize himself/herself with the fundamentals of this or similar statistical software.
- To provide an understanding for the statistical assumptions underlying these techniques.
Prerequisites
All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have spesific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.
Compulsory reading
Books:
Bartholomew, David J. ... [et al.]. 2008. Analysis of multivariate social science data. 2nd ed. Chapman & Hall/CRC
Collection of articles:
Collection of articles: Articles and book chapters in two compendiums
Recommended reading
Course outline
Course outline
- Review of probability and statistical inference
- Cluster analysis
- Principal Component Analysis
- The linear regression model
- Logistic regression
- Exploratory factor analysis
-
Confirmatory factor analysis
Structural Equation Modelling
Computer-based tools
Eviews
Lisrel
SAS
SPSS
Stata
Learning process and workload
A course of 6 ECTS credits corresponds to a workload of 160-180 hours. Lectures and exercises.
Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class that is not included on the course homepage/It's learning or text book.
Examination
Students will have ca 2 weeks for writing the term paper.
| Form of assessment | Weight | Group size |
| Term paper | 40% | Group of max 3 students |
| Written examination 3 hours | 60% | Individual |
Specific information regarding student assessment will be provided in class. This information may be relevant to requirements for term papers or other hand-ins, and/or where class participation can be one of several components of the overall assessment. All parts of the assessment must be passed in order to get a grade in the course.
Examination code(s)
GRA 60363 for the term paper (40% of the final grade)
GRA 60364 for the written exam (60% of the final grade)
Both evaluations must be passed in order to get a grade in the course.
Examination support materials
BI approved exam calculator
Bilingual dictionary
Permitted examination support materials for written examinations are detailed under examination information in the student portal @bi. The section on support materials and the use of calculators and dictionaries should be paid special attention to.
Re-sit examination
It is only possible to retake an examination when the course is next taught. The assessment in some courses is based on more than one exam code. Where this is the case, you may retake only the assessed components of one of these exam codes. All retaken examinations will incur an additional fee. Please note that you need to retake the latest version of the course with updated course literature and assessment. Please make sure that you have familiarised yourself with the latest course description.
Additional information
Honor Code
Academic honesty and trust are important to all of us as individuals, and represent values that are encouraged and promoted by the honor code system. This is a most significant university tradition. Students are responsible for familiarizing themselves with the ideals of the honor code system, to which the faculty are also deeply committed.
Any violation of the honor code will be dealt with in accordance with BI’s procedures for cheating. These issues are a serious matter to everyone associated with the programs at BI and are at the heart of the honor code and academic integrity. If you have any questions about your responsibilities under the honor code, please ask.