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Information
| Unit | FACULTY OF SCIENCE AND LETTERS |
| STATISTICS PR. | |
| Code | ISB499 |
| Name | Categorical Data Analysis |
| Term | 2026-2027 Academic Year |
| Semester | 7. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 2 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | FE Field Education Courses E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. SELMA TOKER KUTAY |
| Course Instructor |
The current term course schedule has not been prepared yet. Previous term groups and teaching staff are shown.
|
Course Goal / Objective
The aim of this course is to teach students categorical variables, contingency tables, and the basic methods required to analyze these tables.
Course Content
Defining and classifying categorical variables, Defining contingency tables, Calculating joint, marginal, and conditional probabilities in contingency tables, Independence tests in contingency tables, coefficients of relation in contingency tables.
Course Precondition
None
Resources
Sosyal Bilimlerde Kategorik Verilerle İlişki Analizi, Çiğdem ARICIGİL ÇİLAN, Pegem Yayınevi, 2013
Notes
Lecture Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learn to define and classify categorical variables. |
| LO02 | Learn to define the contingency tables. |
| LO03 | Compute joint, marginal and conditional probabilities of contingency tables. |
| LO04 | Learn the apply statistical analysis methods to the categorical variables. |
| LO05 | Analyze the results by using SPSS. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the essence fundamentals and concepts in the field of Statistics | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Emphasize the importance of Statistics in life | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Define basic principles and concepts in the field of Law and Economics | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Produce numeric and statistical solutions in order to overcome the problems | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | 4 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | 4 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Make statistical inference (estimation, hypothesis tests etc.) | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques and gain insight | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programs | |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | 3 |
| PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | 2 |
| PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | 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 | |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Develop scientific and ethical values in the fields of statistics-and scientific data collection |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Defining and classifying the categorical variables | Review of the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 2 | Probability distributions used in the analysis of categorical data | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 3 | Describing contingency tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 4 | Computing joint, marginal and conditional probabilities of two way contingency tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 5 | Tests of independence in two way nominal-nominal tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 6 | Tests of independence in two way nominal-ordinal tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 7 | Tests of independence in two way ordinal-ordinal tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | General review | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Tests of independence for small samples | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 10 | Defining three way contingency tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 11 | Conditional and marginal odds ratios for three way contingency tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 12 | Tests for three way contingency table | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 13 | Coefficients of relation in contingency tables composed of nominal variables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 14 | Coefficients of relation in contingency tables composed of ordinal variables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 15 | Advanced methods in contingency tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 16 | Term Exams | General review | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | General review | Ölçme Yöntemleri: Yazılı Sınav |
Assessment (Exam) Methods and Criteria
Current term shares have not yet been determined. Shares of the previous term are shown.
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 1 | 14 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 4 | 4 |
| Final Exam | 1 | 8 | 8 |
| Total Workload (Hour) | 54 | ||
| Total Workload / 25 (h) | 2,16 | ||
| ECTS | 2 ECTS | ||