MAN702 - RESEARCH METHODS II

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
RESEARCH METHODS II MAN702 2nd Semester 3 0 3 7.5
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Case Study
 
Instructor (s)The academic staff of the Department  
Course objectiveTo teach the necessary theorical and practical background in mutlivariate data analysis 
Learning outcomes
  1. (At the end of the course, the student will be able to; ) Understands the multivariate data anaysis concept,
  2. Organizes and the raw data and makes it ready fort he analysis,
  3. Comprehends the mutivariate data analysis methods,
  4. Knows which data analysis methods are usable while solving a research question,
  5. Interprets the analysis results,
  6. Specializes on some of the analysis methods.
Course ContentIntroduction to multivariate data analysis
Cleaning and transforming of the data
Test of normality and randomness
Factor analysis
Canonical correlation
Simple and multiple regression
Conjoint analysis
Discriminant analysis and logistic regression
Anova ve manova
Cluster analysis
Multidimensional scaling
Structural equation modelling
Structural equation modelling 
ReferencesHair F. J., Black C. W., Babin B. J., Anderson E. R., (2010). Multivariate data analysis: a global perspective. (7th ed.). Pearson.
Related articles 

Course outline weekly

WeeksTopics
Week 1Introduction to multivariate data analysis
Week 2Cleaning and transforming of the data
Week 3Test of normality and randomness
Week 4Factor analysis
Week 5Canonical correlation
Week 6Homework
Week 7Simple and multiple regression
Week 8Conjoint analysis
Week 9Discriminant analysis and logistic regression
Week 10Anova ve manova
Week 11Homework
Week 12Cluster analysis
Week 13Multidimensional scaling
Week 14Structural equation modelling
Week 15Structural equation modelling
Week 16Project

Assesment methods

Course activitiesNumberPercentage
Attendance1430
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments230
Presentation00
Project140
Seminar00
Midterms00
Final exam00
Total100
Percentage of semester activities contributing grade succes17100
Percentage of final exam contributing grade succes00
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)1210120
Presentation / Seminar Preparation000
Project14040
Homework assignment21020
Midterms (Study duration)000
Final Exam (Study duration) 000
Total Workload2963222

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Conducts novel and ethical research on business, reports outcomes in a critical manner.    X
2. Solves problems via appropriate softwares, adapts to new methods and software.    X
3. Has managerial and leadership skills to identify problems, objectives and strategic plans for organizational progress with a critical point of view.    X
4. Plays an active role in projects, analyses relationship between stakeholders accurately, motivates and manages all stakeholders through effective language skills.   X 
5. Has necessary communication skills to manage verbal and written communication.  X  
6. Analyses and uses contemporary and advanced knowledge in relation with information from different areas.   X 
7. Progresses continuously and transfers the experience in both written and verbal ways.    X
8. Through anticipation and strategic thinking, plays an active role in organizational decision making process.   X 
9. Uses knowledge in consistency with the ethical, social and international values in an unbiased manner.  X  
10. Has expertise on the multi-disciplinary nature of management and related fields.   X 
11. Approaches problems with a wide strategic perspective, self-develops continuously.   X 
12. Shares novel studies, is up to date both in knowledge and personal network.   X 

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest