Course Language:
English
Course Objectives:
This course aims to explain the importance of scientific investigation and to illustrate the application of quantitative research techniques. The course is mainly intended to teach empirical approach, measurement process, and the use of statistical techniques for data analysis purposes.
Course Content:
The course includes in the data analyzing methods; such as parametric and nonparametric methods, factorial experiment with repeated and no repeated measures (ANOVA), correlation and regression analysis, exploratory factor analysis and confirmatory factor analysis, and structural equation modelling. For purpose of data analysis, it is used SPSS and AMOS statistical programs. Therefore, students will learn to use the SPSS and AMOS programs also.
Teaching Methods:
1. Lecture 2. Question/Answer 3. Discussion Method 4. Case Study 5. Workshop 6. Problem Solving Method
Assessment Methods:
A: Exam , B: Homework, C: Presentations, D: Project
Vertical Tabs
Course Learning Outcomes
| Learning Outcomes | Program Learning Outcomes | Teaching Methods | Assessment Methods |
|
1,2,3,4 | 1,2,3,4 | A, B, D |
|
1,2,3,4 | 1,2,3,4 | A, B, D |
|
1,2,3,4 | 1,2,3,4 | A, B, D |
|
1,2,3,4 | 1,2,3,4 | A, B, D |
Course Flow
| COURSE CONTENT | ||
| Week | Topics | Study Materials |
| 1 | Understanding the research process, measurement, collecting data and questionnaire design. | Related chapters |
| 2 | Sampling procedures. | Related chapters |
| 3 | Understanding formal statistical tests. | Related chapters |
| 4 | Parametric methods (Comparing the average two samples- t test for independent two samples and paired samples ) with SPSS. |
Related chapters
Exercises /cases |
| 5 | Nonparametric methods (Comparing the averages of samples: Related samples: Wilcoxon, Sign and McNemar tests; Independent samples: Mann-Whitney test, Kolmogrov-Simirnov test, Kruskal-Wallis test, Chi-square test) with SPSS. |
Related chapters
Exercises /cases |
| 6 | Variance analysis (ANOVA test) for one-factor experiment with no repeated measures, two-factor factorial experiment with no repeated measures, experiments with repeated measures on all factors, nonparametric tests for a one-factor repeated measures experiment, two-factor within subjects ANOVA and the mix design experiments using SPSS. |
Related chapters
Exercises /cases |
| 7 | MANOVA and ANCOVA tests with SPSS. |
Related chapters
Exercises /cases |
| 8 | Midterm exam | -- |
| 9 | Measuring statistical association with SPSS. (Correlation analysis) |
Related chapters
Exercises /cases |
| 10 | Measuring statistical association with SPSS. (Regression analysis) |
Related chapters
Exercises /cases |
| 11 | The search for latent variables: Exploratory factor analysis and reliability analysis (Cronbach alpha) with SPSS. |
Related chapters
Exercises /cases |
| 12 | Testing mediation with regression analysis using SPSS. |
Related chapters
Exercises /cases |
| 13 | Testing moderation with regression analysis using SPSS. |
Related chapters
Exercises /cases |
| 14 | Structural Equation Modeling with AMOS (Confirmatory factor analysis) |
Related chapters
Exercises /cases |
| 15 | Structural Equation Modeling with AMOS (Path analysis) |
Related chapters
Exercises /cases |
| 16 | Final Exam | |
Recommended Sources
| RECOMMENDED SOURCES | |
|
Textbook |
-SPSS for Windows Made Simple, Kinnear and Gray, Hillsdale (USA).
-Notes and cases developed by instructor
|
| Additional Resources | --Marketing Research, Kinnear and Taylor, McGraw Hill. |
Material Sharing
| MATERIAL SHARING | |
| Documents | Power point presentation related to all concepts discussed in the class. |
| Assignments | A research project |
| Exams | One midterm exam, one final exam |
Assessment
| ASSESSMENT | ||
| IN-TERM STUDIES | NUMBER | PERCENTAGE |
| Mid-terms | 1 | 40 |
| Final | 1 | 60 |
| Total | 100 | |
Course’s Contribution to Program
| COURSE'S CONTRIBUTION TO PROGRAM | ||||||
| No | Program Learning Outcomes | Contribution | ||||
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Students learn the essential body of knowledge in business management (functions of management: organization theory: policy and strategy: information, technology and operations management; human capital management; accounting; finance; marketing; economics; and an integrated perspective) and apply them in business life. | X | ||||
| 2 | Students can apply business theories and methods by gaining expertise in at least one of the areas; accounting and finance, management, marketing or human resources management. | X | ||||
| 3 | Students with their research methodologies knowledge can choose the appropriate methods for data gathering and analyzing and can understand and interpret the results, studies and reports. | X | ||||
| 4 | Students gain the required qualifications to make strategic decisions and to take the leader role. | X | ||||
| 5 | Students have the tendency to take active role in team work and can contribute to the team consciously. | X | ||||
| 6 | Students can evaluate information coming from different disciplines, combine those information and they have an interdisciplinary viewpoint. | X | ||||
| 7 | Students have the responsibility and knowledge to conduct independent and original studies both in business and academic arena. | X | ||||
| 8 | Students can follow the local and global business environment dynamics and interpret them. | X | ||||
| 9 | Students understand business ethics and social responsibility concepts | X | ||||
| 10 | Students have required the English proficiency to follow the current events and improvements in their professional area and to communicate their ideas in international business arena. | X | ||||
| 11 | Students should understand the importance of lifelong learning to maintain personal and professional development. | X | ||||
| 12 | Students should demonstrate that they have the discipline and responsibility to conduct an independent study, project, research | X | ||||
| 13 | Students can demonstrate that they have the commercial law knowledge which is shaping the global business world and though these they have the ability to reach a solution. | 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 | 4 | 64 |
| Mid-terms | 1 | 10 | 10 |
| Homework | 1 | 10 | 10 |
| Final examination | 1 | 20 | 20 |
| Total Work Load | 152 | ||
| Total Work Load / 25 (h) | 6,08 | ||
| ECTS Credit of the Course | 6 | ||