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The main aim of this course is an introduction in various advanced statistical methods to be used in research in business economics and management. Such an introduction is always coupled with the conditions under which such use is allowed and on really applying these methods on different data-sets drawn from several areas of business economics and management. General statistical issues related to the use of these quantitative will be discussed as well. Classification: Research Techniques Foreknowledge: This course is only open to researchers who are addressing issues related to the fields of business administration, management and business economics. External participants should enclose a summary of their research plan so that compliance with this requirement may be assessed. Study Load: This course will involve a total of 7EC (approximately 175 hours), including literature study. Start date: Duration: This course is planned from February 2006 until May 2006
Schedule:
Institution: University of Twente Lecture: Dr. A. Boomsma (RUG), Drs. L.B.M. Dieben (UT), Dr. D.J. Kiewiet (RUG), Dr.ir. P .Terlouw (UT) Research School: IGS Price NOBEM member: Price NON-NOBEM member: Included in price: - Module I includes lunch, coffee and tea. - Module II includes one nights stay, two lunches, one dinner, one breakfast, coffee and tea. - Module III includes two nights stay, three lunches, two dinners, two breakfasts, coffee and tea. - Module IV includes one nights stay, two lunches, one dinner, one breakfast, coffee and tea. - literature and the previously mentioned meals, drinks and overnight stays. Travelling expenses and not mentioned overnight stays, meals and drinks are not included in the course fee. Location: Divers, check schedule Contact: University of Twente IGS Ms. Brenda Kroeze 053 489 4187 URL link for complete information: http://www.igs.utwente.nl/igs_courses_2006/website_20061.doc/ Literature: - Hair jr., J.F. [et al], 1998, Multivariate data analysis; Upper Saddle River, NJ: Prentice Hall - Carver, R.H. & J.G. Nash, 2000, Doing Data Analysis with SPSS 10.0, Pacific Grove, CA: Duxbury - A reader with respect to LISREL Participants are expected to study the course material in advance. The participants will receive the literature approximately two weeks in advance. Registration: If you would like to register for this course, please fill in the application form that is published on this website. Assignments: Each part of the course contains an assignment in advance. Each assignment must be successfully completed before a certificate can be rewarded. The LISREL assignment is also obligatory for those participants who only participate in Part IV. (Part IV including the LISREL assignment represents a study load of 2 EC). |
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