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| Course Description |
|
| Course Name |
: |
Categorical Data Analysis |
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| Course Code |
: |
İSB313 |
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| Course Type |
: |
Compulsory |
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| Level of Course |
: |
First Cycle |
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| Year of Study |
: |
3 |
|
| Course Semester |
: |
Fall (16 Weeks) |
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| ECTS |
: |
6 |
|
| Name of Lecturer(s) |
: |
Assoc.Prof.Dr. GÜZİN YÜKSEL
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| Learning Outcomes of the Course |
: |
Has knowledge of and uses the basic concepts of sampling.
Has knowledge of sampling methods.
Builds knowledge on solving the application problem.
Applies and knows Simple Random Sampling
Makes Stratified Random Sampling
Makes simple researches using survey techniques.
Knows and apply the basics of editing the survey.
Expresses the basic principles of random sampling
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|
| Mode of Delivery |
: |
Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
26702 Basic Statistics
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|
| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
: |
Recognize the Categorical Data, the three-way and higher dimensional contingency tables, correlation analysis; multidimensional tables; log linear models. |
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| Course Contents |
: |
Definitions; analysis of 2x2 contingency tables; three-way and higher dimensional contingency tables, correlation analysis; multidimensional tables; log linear models; logit and multinomial logit models; logistic regression analysis; analysis of rxr tables |
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| Language of Instruction |
: |
Turkish |
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| Work Place |
: |
Faculty of Arts and Sciences Annex Classrooms |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
|
1 |
Basic terms and definations |
Reading the source |
Face to face description method,solving problem on board,discussion |
|
2 |
Introduction to simple random sampling |
Reading the source |
Face to face description method,solving problem on board |
|
3 |
Application of simple random sampling to population mean |
Reading the source |
Face to face description method,solving problem on board,discussion |
|
4 |
Application of simple random sampling to population ratio |
Reading the source |
Face to face description method,solving problem on board,discussion |
|
5 |
Introduction to strafied sampling |
Reading the source |
Face to face description method,solving problem on board |
|
6 |
Application of strafied sampling to population mean |
Reading the source |
Face to face description method,solving problem on board,discussion |
|
7 |
Application of strafied sampling to population ratio |
Reading the source |
Face to face description method,solving problem on board,discussion |
|
8 |
mid-term exam |
Review the topics discussed in the lecture notes and sources |
Written exam |
|
9 |
Introduction to stage sampling |
Reading the source |
Face to face description method,solving problem on board |
|
10 |
One stage sampling
|
Reading the source |
Face to face description method,solving problem on board |
|
11 |
Application of one stage sampling to population mean and ratio |
Reading the source |
Face to face description method,solving problem on board |
|
12 |
Survey methods, advantages and disadvantages |
Reading the source ,preparing the project |
Face to face description method,discussion |
|
13 |
Surveys in different areas and
presentations of student projects |
Reading the source ,preparing the project |
Face to face description method,discussion, presentation |
|
14 |
The main steps of the survey and presentations of student projects |
Reading the source ,preparing the project |
Face to face description method,discussion, presentation |
|
15 |
Computer coding of the survey results and presentations of student projects |
Reading the source ,preparing the project |
Face to face description method,discussion, presentation |
|
16/17 |
Final exam |
Review the topics discussed in the lecture notes and sources |
Written exam |
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|
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Örnekleme, Serper Ö, Aytaç M., Ezgi Kitabevi, 2000
Örnekleme Kuramı, Çıngı H., Ankara, Erk Yayıncılık, 2009.
Sosyal Bilimlerde Araştırma Yöntem, Teknik ve İlkeler, Balcı A., Pegem Yayıncılık, 2007.
Sosyal Bilimlerde Araştırma Yöntemleri SPSS Uygulamalı, Altunışık R. ve Ark., Sakarya Kitabevi, 2002
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| |
| Required Course Material(s) | |
|
|
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
80 |
|
Homeworks/Projects/Others |
5 |
20 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
|
Final Assessments
|
100 |
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Rate of Final Assessments to Success
|
60 |
|
Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
|
1 |
Utilize computer systems and softwares |
0 |
|
2 |
Apply the statistical analyze methods |
0 |
|
3 |
Make statistical inference(estimation, hypothesis tests etc.) |
0 |
|
4 |
Generate solutions for the problems in other disciplines by using statistical techniques |
1 |
|
5 |
Discover the visual, database and web programming techniques and posses the ability of writing programme |
0 |
|
6 |
Construct a model and analyze it by using statistical packages |
0 |
|
7 |
Distinguish the difference between the statistical methods |
4 |
|
8 |
Be aware of the interaction between the disciplines related to statistics |
5 |
|
9 |
Make oral and visual presentation for the results of statistical methods |
2 |
|
10 |
Have capability on effective and productive work in a group and individually |
3 |
|
11 |
Develop scientific and ethical values in the fields of statistics-and scientific data collection |
3 |
|
12 |
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics |
3 |
|
13 |
Emphasize the importance of Statistics in life |
4 |
|
14 |
Define basic principles and concepts in the field of Law and Economics |
0 |
|
15 |
Produce numeric and statistical solutions in order to overcome the problems |
3 |
|
16 |
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events |
0 |
|
17 |
Use proper methods and techniques to gather and/or to arrange the data |
5 |
|
18 |
Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs |
1 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
|
Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
|
Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
|
Homeworks, Projects, Others |
5 |
2 |
10 |
|
Mid-term Exams (Written, Oral, etc.) |
1 |
20 |
20 |
|
Final Exam |
1 |
30 |
30 |
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Total Workload: | 144 |
| Total Workload / 25 (h): | 5.76 |
| ECTS Credit: | 6 |
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