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Information
| Unit | FACULTY OF SCIENCE AND LETTERS |
| STATISTICS PR. | |
| Code | ISB499 |
| Name | Categorical Data Analysis |
| Term | 2019-2020 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 | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. SELMA TOKER KUTAY |
| Course Instructor |
Doç. Dr. SELMA TOKER KUTAY
(Güz)
(A Group)
(Ins. in Charge)
|
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
Resources
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 | - | Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics | 4 |
| PLO02 | - | Emphasize the importance of Statistics in life | 4 |
| PLO03 | - | Define basic principles and concepts in the field of Law and Economics | 1 |
| PLO04 | - | Produce numeric and statistical solutions in order to overcome the problems | 4 |
| PLO05 | - | Use proper methods and techniques to gather and/or to arrange the data | 5 |
| PLO06 | - | Utilize computer systems and softwares | 3 |
| PLO07 | - | Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events | 2 |
| PLO08 | - | Apply the statistical analyze methods | 4 |
| PLO09 | - | Make statistical inference(estimation, hypothesis tests etc.) | 5 |
| PLO10 | - | Generate solutions for the problems in other disciplines by using statistical techniques | 3 |
| PLO11 | - | Discover the visual, database and web programming techniques and posses the ability of writing programme | 0 |
| PLO12 | - | Construct a model and analyze it by using statistical packages | 4 |
| PLO13 | - | Distinguish the difference between the statistical methods | 3 |
| PLO14 | - | Be aware of the interaction between the disciplines related to statistics | 3 |
| PLO15 | - | Make oral and visual presentation for the results of statistical methods | 3 |
| PLO16 | - | Have capability on effective and productive work in a group and individually | 2 |
| PLO17 | - | 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 | 0 |
| PLO18 | - | Develop scientific and ethical values in the fields of statistics-and scientific data collection | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Defining and classifying categorical variables | Review of the literature | |
| 2 | Probability distributions for analyzing categorical data | Review of the previous lecture and the literature | |
| 3 | Describing contingency tables | Review of the previous lecture and the literature | |
| 4 | Computing joint, marginal and conditional probabilities of two way contingency tables | Review of the previous lecture and the literature | |
| 5 | Chi-squared tests of independence | Review of the previous lecture and the literature | |
| 6 | Defining three way contingency tables | Review of the previous lecture and the literature | |
| 7 | Marginal and conditional odds ratio and independence for three way contingency tables | Review of the previous lecture and the literature | |
| 8 | Mid-Term Exam | General review | |
| 9 | Tests for three way contingency tables | Review of the previous lecture and the literature | |
| 10 | Coefficients of relation in the contingency tables | Review of the previous lecture and the literature | |
| 11 | Advanced methods in contingency tables | Review of the previous lecture and the literature | |
| 12 | Loglinear Models in Two-Way Tables, | Review of the previous lecture and the literature | |
| 13 | Log-linear models in three way contingency tables | Review of the previous lecture and the literature | |
| 14 | Log-linear model fitting | Review of the previous lecture and the literature | |
| 15 | The relation between the binomial logit and log-linear model | Review of the previous lecture and the literature | |
| 16 | Term Exams | General review | |
| 17 | Term Exams | General review |
Assessment (Exam) Methods and Criteria
| 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 | ||