COURSE UNIT TITLE

Offered By

Business Administration (English)

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR SABRI ERDEM

Offered to

Business Administration (English)

Course Objective

This course covers basic multivariate data analysis with an emphasis on applications for business, marketing research and consumer behaviour. The course is a introductory survey that compares and contrast many different multivariate techniques. The course emphasizes the design of a multivariate research project, the choice of a multivariate method, the testing of the fundamental assumptions underlying various multivariate methods, the validation of a multivariate analysis, the important issues involved in evaluating the quality of a multivariate data analysis and interpretation of the results.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Multivariate Data Analysis ,Joseph F. Hair (Author), William C. Black (Author), Barry J. Babin (Author), Rolph E. Anderson (Author), Pearson Education, 7th Edition, 2009.
Book s website: http://www.mvstats.com/
SPSS : http://core.ecu.edu/psyc/wuenschk/SPSS/SPSS-MV.htm
Summary: http://www.utdallas.edu/~herve/Abdi-MultivariateAnalysis-pretty.pdf
Notes: http://www.statisticalassociates.com/booklist.htm
http://faculty.chass.ncsu.edu/garson/PA765/statnote.htm

Planned Learning Activities and Teaching Methods

Lectures, computer applications and student presentations

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

English

Course Policies and Rules

1. It is obligatory to attend at least 70% of the classes.
2. Violations of Plagiarism of any kind will result in disciplinary steps being taken.
3. Absence will not be considered an excuse for submitting homework assignments late.
4. Delayed research projects will suffer grade decay equivalent to one letter grade per day late.

Contact Details for the Lecturer(s)

aysun.kapucugil@deu.edu.tr
Room no: 126/A
Office tel: 232.3018286

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes