Faculty Of Economıc, Admınıstratıve And Socıal Scıences
Economıcs (Englısh)
Course Information
RESEARCH METHODS | |||||
---|---|---|---|---|---|
Code | Semester | Theoretical | Practice | National Credit | ECTS Credit |
Hour / Week | |||||
MAN214 | Spring | 3 | 0 | 3 | 5 |
Prerequisites and co-requisites | |
---|---|
Language of instruction | English |
Type | Required |
Level of Course | Bachelor's |
Lecturer | Asst.Prof.Dr. Ayhan DEMIRCI |
Mode of Delivery | Face to Face |
Suggested Subject | |
Professional practise ( internship ) | None |
Objectives of the Course | To provide an introduction to some concepts of probability and statistics with applications of health enterprises problems. The course illustrates many examples of common statistical methods for students who would like to focus on descriptive relationships and information intensive fields. |
Contents of the Course | The subject of scientific research,the process of scientific research,research design,measuremant,data collecting techniques,sampling,scientific ethics. |
Learning Outcomes of Course
# | Learning Outcomes |
---|---|
1 | A student can define scientific research and can explain scientific research process |
2 | Can make researh design |
3 | Can explain sampling process |
4 | Can design survey |
5 | Can make quantitative and qualitative analysis |
6 | Can prepare research report by interpreting data analysis results |
Course Syllabus
# | Subjects | Teaching Methods and Technics |
---|---|---|
1 | Editing and recording of data. | Lecturing, Discussion |
2 | Descriptive statistics. | Lecturing, Discussion |
3 | Hypothesis Tests | Lecturing, Problem Solving |
4 | Hypothesis Tests | Lecturing, Problem Solving |
5 | t-Test | Lecturing, Problem Solving |
6 | z-Test | Lecturing, Problem Solving |
7 | F-Test | Lecturing, Problem Solving |
8 | Midterm | Written exam |
9 | Nonparametric Hypothesis Tests - Chi-Square Tests. | Lecturing, Problem Solving |
10 | Nonparametric Hypothesis Tests - Chi-Square Tests. | Lecturing, Problem Solving |
11 | Regression Analysis | Lecturing, Problem Solving |
12 | Correlation Analysis | Lecturing, Problem Solving |
13 | Variance Analysis | Lecturing, Problem Solving |
14 | Variance Analysis | Lecturing, Problem Solving |
15 | Covariance Analysis | Lecturing, Problem Solving |
16 | Final Exam | Written exam |
Course Syllabus
# | Material / Resources | Information About Resources | Reference / Recommended Resources |
---|---|---|---|
1 | Anol Bhattacherjee (2012),Social Science Research:Principles,Methods and Practices | ||
2 |
Method of Assessment
# | Weight | Work Type | Work Title |
---|---|---|---|
1 | 40% | Mid-Term Exam | Mid-Term Exam |
2 | 60% | Final Exam | Final Exam |
Relationship between Learning Outcomes of Course and Program Outcomes
# | Learning Outcomes | Program Outcomes | Method of Assessment |
---|---|---|---|
1 | A student can define scientific research and can explain scientific research process | 10 | 1͵2 |
2 | Can make researh design | 3 | 1͵2 |
3 | Can explain sampling process | 2 | 1͵2 |
4 | Can design survey | 10 | 1͵2 |
5 | Can make quantitative and qualitative analysis | 2 | 1͵2 |
6 | Can prepare research report by interpreting data analysis results | 2͵5 | 1͵2 |
Work Load Details
# | Type of Work | Quantity | Time (Hour) | Work Load |
---|---|---|---|---|
1 | Course Duration | 14 | 3 | 42 |
2 | Course Duration Except Class (Preliminary Study, Enhancement) | 14 | 3 | 42 |
3 | Presentation and Seminar Preparation | 1 | 24 | 24 |
4 | Web Research, Library and Archival Work | 0 | 0 | 0 |
5 | Document/Information Listing | 0 | 0 | 0 |
6 | Workshop | 0 | 0 | 0 |
7 | Preparation for Midterm Exam | 1 | 20 | 20 |
8 | Midterm Exam | 1 | 1 | 1 |
9 | Quiz | 0 | 0 | 0 |
10 | Homework | 0 | 0 | 0 |
11 | Midterm Project | 0 | 0 | 0 |
12 | Midterm Exercise | 0 | 0 | 0 |
13 | Final Project | 1 | 6 | 6 |
14 | Final Exercise | 0 | 0 | 0 |
15 | Preparation for Final Exam | 1 | 14 | 14 |
16 | Final Exam | 1 | 1 | 1 |
150 |