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Program Type: 
Thesis
Non Thesis
Course Code: 
MAN 531
Semester: 
Autumn
Course Type: 
Core
P: 
3
Lab: 
0
Credits: 
3
ECTS: 
7
Course Language: 
German
Course Objectives: 

The course is written user-oriented, which gives a broad picture of the considered problem and shows a brief overview of the literature. The aim is make the students get closer to the methodology of empirical research.

Course Content: 

This course presents the science, knowledge and resources. The steps of the scientific method of research, content and benefits will be discussed. Measurement and scaling in the social sciences are discussed. With SPSS, descriptive, inductive statistics is calculated and interpreted. Moreover multivariate analysis method is to be applied. The course includes a research project.

Teaching Methods: 
1: Lecture, 2: Question-Answer, 3: Discussion, 9: Simulation, 12: Case Study
Assessment Methods: 
Assessment Methods: A: Testing, B: Homework, C: Performance

Vertical Tabs

Course Learning Outcomes

Learning Outcomes Program Learning Outcomes Teaching Methods Assessment Methods
1) Describes information 4 1,2,3 A
2) Know the methods of access to information 11 1,2,3 A
3) Thinks in a rational way 2 1,2,3 A
4) Describes the properties of numerical Observable events 14,16 1,2,3 A
5) Analyzes the social and economic relations 3 1,2,3 A
6) Getting results inferential data 6 1,2,3 A

Course Flow

COURSE CONTENT
Week Topics Study Materials
1 Brief introduction and basic concepts, philosophy of science  
2 Knowledge, Scientific Research, research stages and relationship with Statistics  
3 Spelling rules and content for research and research proposal, sources and footnotes  
4 Data collection methods and questionnaire design;

Types of research: exploratory, descriptive and causal

 
5 Research design, measuring the attitudes or opinion, social research scales, statistical scale, data-coding according to the scale and type of questions  
6 Validity and reliability; reliability measurement  
7 Mid Term Exam  
8 Creating a research model and hypotheses  
9 Software for statistical analysis, presentation of statistical software (SPSS), data entry  
10 Descriptive statistics: frequency distributions, graphical representation, means, scattering mass  
11 Correlation measurement: Pearson product moment correlation, Spearman's rank correlation, Kendall, Phi correlation and Ki-square independence and contingency  
12 Introduction to hypothesis testing procedure, t-test for dependent and independent samples, analysis of variance  
13 Non-parametric tests  
14 Multivariate analysis  
15 Case Studies  
16 Final Exam  

Recommended Sources

Textbook Karar Almada Veri Analizi, A. Mete Çilingirtürk, Seçkin Yayınları, Ankara (2011)
Additional Resources Methodik der empirischen Forschung, Sönke Albers, Daniel Klapper, Udo Konradt, Gabler Verlag; Auflage: 2., überarb. u. erw. (27. März 2007)

Forschungsmethoden in Psychologie und Sozialwissenschaften, Walter Hussy, Margrit Schreier, Margrit Schreier, Gerald Echterhoff, Springer, Berlin; Auflage: 1., st Edition. (Dezember 2009)

Material Sharing

Documents Work problems, distribution tables, course presentation
Assignments Research project

Assessment

ASSESSMENT
IN-TERM STUDIES NUMBER PERCENTAGE
Mid-terms 1 70
Quizzes 2 10
Assignment 1 20
Total   100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE   60
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE   40
Total   100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM
No Program Learning Outcomes Contribution
1 2 3 4 5  
1 Develops and deepens knowledge in the field of International Business Management on the basis of undergraduate qualifications.       X    
2 Solves for issues that require expertise in the field of International Business Management by using scientific research methods.         X  
3 Critically examines social relations in the field of business administration and develop effective relationships, and applies teamwork relations the most effecient way, educates leaders who manage risk and change.       X    
4 Plans and develops international business management and competition issues related strategies, policies and implements the results within the framework of quality processes treats.     X      
5 Analyzes the fundamental international events affecting international business activities.       X    
6 Participating in various research projects, providing a comprehensive analysis of the research results and their presentations.       X    
7 Being aware of the importance of lifelong learning and rapid changes in the international business environment.   X        
8 Having advanced knowledge of other useful disciplines which forms the basis of International Business Management       X    
9 Putting the innovations and innovative work in the field of International Business Management into practice.     X      
10 Interpreting the data, and having the ability to analyze decisions on the application and the behavior of the knowledge gained through the use of International Business Administration       X    
11 A problem faced by the international business management areas, evaluates, develops independent method, and evaluates the results         X  
12 Having the ability to work individually and independent decision-making authority in Turkish and in German, expressing ideas in a clear and concise manner verbally and written. In addition, using the German language in the field of international business management, oral and written communication with colleagues.       X    
13 Absorbing the need to comply with business ethics values, operating in the field of data collection, interpretation, and dissemination stages under any circumstances, social, scientific and ethical values     X      
14 Entering data and analysis of them on issues of International Business and Management at advanced level of computer software and communication technologies.         X  
15 Analyzing stakeholders of the organization and agency relationships and enforcing them effectively.       X    
16 Using modern techniques and computational tools specifically for developed numerical analysis capability.         X  

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities Quantity Duration
(Hour)
Total
Workload
(Hour)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 5 80
Mid-terms 1 6 6
Quiz 2 6 12
Homework 2 10 20
Final examination 1 10 10
Total Work Load     176
Total Work Load / 25 (h)     7.04
ECTS Credit of the Course     7