Multivariate Data Analysis D, 5 points / 7.5 ECTS Syllabus : Multivariate Data Analysis D Course code : FEKD63 Responsibility : The Department of Business Administration Subject : Business Administration Level : D (specialized) Course credit : 7.5 ECTS / 5 points Field of education: Social Sciences This course is a course at specialized level in a MSc-degree at the University of Umeå. It is also an elective course in the Master’s Programmes at Umeå School of Business and Economics (USBE). Further information: http://www.usbe.umu.se/master/index_eng.html 1. Resolution to arrange the course The course was established by the Faculty of Social Sciences at Umeå University in June 2003 and the syllabus confirmed by the Board of Business Administration on December 12, 2003. 2. Objective and contents The overall purpose of the course is to provide an understanding of quantitative research methods. The course describes a number of different quantitative research methods and provides examples of how they may be applied to management research problems. Much of the course involves "hands-on" use of the statistical techniques in a lab setting. Students will receive an understanding of the benefits and limitations of each technique, in what situations and on what data these techniques are applicable as well as how to use the techniques. Topics: - Introduction to Statistics & Research Design - Data Collection and Measurement - Questionnaire Design - Factor Analysis - Cluster Analysis - Multiple (Linear) Regression - Multiple Discriminate Analysis (including Logistic Regression) - Structural Equation Modeling 3. Prerequisites Courses in Business Administration (90 ECTS): - A minimum of 40 credits/60 ECTS from A-level and B-level courses (Management, Accounting, Financial Investments, Cost Accounting, Marketing) plus - At the advanced, C level, a minimum of 20 credits/30 ECTS, including a Bachelor’s thesis, or equivalent. Courses in Statistics (15 ECTS): - A minimum of 10 points/15 ECTS, or equivalent, in undergraduate curriculum 4. Teaching methods The course is based on lectures that outline general theories related to the course topics. Lab setting sessions led by lecturers will be utilized to examine the details of the theories and the practice of the topics under study. Students will also use the techniques taught in practice. In addition, group and individual assignments with both oral and written presentations will be used throughout the course. The student is expected to participate in lectures, lab sessions and class discussions. 5. Design outline The design of the course differs from traditional courses in that the lectures and lab sessions are concentrated in time. This is followed by a longer period of time for reading and work on the individual assignment. However, the course is a full time course and follows the normal pace of campus courses. Students are expected to put in their effort accordingly. 6. Examination The examination comprises of a written examination and an individual extensive term paper. The written examination corresponds to 20 per cent of the credits while the term paper corresponds to 80 per cent. Complementary work on the term paper should be completed three weeks after the delivered feedback, at the latest. The following grading system is used: Pass With Distinction (Väl godkänd, Vg, 75% or more), Pass (Godkänd, G, 50% or more) and Fail (Underkänd, U, less than 50%). For exchange students the ECTS grading scale will be used upon request. When a student has failed a written examination on two occasions, he or she has a right to have another grading teacher. A written request should be handed to the director of studies no later than two weeks before the next examination opportunity. Grades on the course are awarded when students have passed all examinations. 7. Readings and other materials Hair, J. F. Jr., Anderson, R.E., Tatham, R.L. and Black, W.C. (1998). Multivariate Data Analysis. (5th ed.). Upper Saddle River, NJ: Prentice Hall. Hair, Joseph F., Babin, Barbara. Money. Arthur H., Samouel. Phillip S. (2002) Essentials of Business Research Methods. John Wiley & Sons. ISBN: 0471271365 Department of Business Administration, Articles (Student Office/Student-expeditionen) Supplementing readings: Easterby-Smith, M., Thorpe, R. and Lowe, A. (1996). Management research. An introduction. London: Sage Publications. Remenyi, D., Williams, B., Money, A. and Swartz, E. (1998). Doing Research in Business and Management. London: Sage Publications. Saunders, Mark., Lewis, Philip., Thornhill, Adrian. (2003) Research Methods for Business Students. Prentice Hall, third edition. ISBN: 0273658042 SPSS for Windows: Base System User Guide. SPSS for Windows: Professional Statistics. Arbuckle, J.L. AMOS Users' Guide 4.0. Chicago: SmallWaters Corporation. -------------- UMEÅ UNIVERSITY Faculty of Social Sciences Department of Business Administration S-901 87 Umeå, Sweden www.fek.umu.se ====================================== Kurstid: 2004-02-19 -- 2004-03-21 Detaljschema: www.fek.umu.se/utbildning/schema/StudentSchema.php?ID=396 ANSÖKNINGSFÖRFARANDE ------------------------------ Studerande i grundutbildningen : Ansökningshandling för sk "sen ansökan" finns som word-fil eller pdf-dokument: http://www.fek.umu.se/svl/sen.doc http://www.fek.umu.se/svl/sen.pdf Anmälningskod: AFK95 Ansökningsblanketten skall skickas till: Umeå universitet Antagningsenheten 901 87 Umeå ------------------------------ Studerande i forskarutbildning : Kontakta Lennart Widmark : http://www.fek.umu.se/svl/lwadress.html