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Information
| Code | ISB499 |
| Name | Categorical Data Analysis |
| Term | 2024-2025 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 |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. SELMA TOKER KUTAY |
| Course Instructor |
1 2 |
Course Goal / Objective
The aim of this course is to introduce the contingency tables and to examine the analysis methods based on these tables.
Course Content
Describing and classifying the categorical variables, Probability distributions for analyzing categorical data, Describing contingency tables, Advanced methods in contingency tables, Loglinear models for 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 | Apply advanced methods in contingency tables. |
| LO05 | Examine log-linear models in contingency tables. |
| LO06 | Learn to built models for the categorical data. |
| LO07 | Learn the apply statistical analysis methods to the categorical variables. |
| LO08 | 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 categorical variables | Review of the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 2 | Probability distributions for analyzing categorical data | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 3 | Describing contingency tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Computing joint, marginal and conditional probabilities of two way contingency tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | Chi-squared tests of independence | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 6 | Defining three way contingency tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 7 | Marginal and conditional odds ratio and independence for three way contingency tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 8 | Mid-Term Exam | General review | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Tests for three way contingency tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 10 | Coefficients of relation in the contingency tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 11 | Advanced methods in contingency tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | Loglinear Models in Two-Way Tables, | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 13 | Log-linear models in three way contingency tables | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 14 | Log-linear model fitting | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 15 | The relation between the binomial logit and log-linear model | Review of the previous lecture and the literature | Öğretim Yöntemleri: Anlatım, Tartışma |
| 16 | Term Exams | General review | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | General review | Ölçme Yöntemleri: Yazılı Sınav |
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 | ||