Information Package / Course Catalogue
Categorical Data Analysis
Course Code: BİS531
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

The course acquaints with the ways of the analysis of categorical data obtained by vaious studies. It focuses on one-way and two-way analyses and provides bases of multivariate analysis.

Course Content

Parameter estimate methods, theory and applications for categorical data analysis. Chi-Square, categorical regression, correspondence and homogeneity, principal component analysis for categorical variables, canonical correlation analysis for categorical variables, log-linear models.

Name of Lecturer(s)
Learning Outcomes
1.To learn the basic concepts of categorical data analysis
2.To be able to comprehend the advanced statistical methods for categorical data.
3.Choosing the appropriate model in categorical data analysis
4.To be able to analyze categorical data by using packaged software
5.To be able to present statistical results and conclusions in both written and oral form appropriately.
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Methods of parameter estimation-1
Week 2 - Theoretical
Methods of parameter estimation-2
Week 3 - Theoretical
Chi-square Analysis
Week 4 - Theoretical
Correspondence analysis
Week 5 - Theoretical
Multiple Correspondence Analysis-1
Week 6 - Theoretical
Multiple Correspondence Analysis-2
Week 7 - Theoretical
Homogeneity Analysis-1
Week 8 - Intermediate Exam
Midterm exam
Week 9 - Theoretical
Homogeneity Analysis-2
Week 10 - Theoretical
Principal Component Analysis for Categorical Data-1
Week 11 - Theoretical
Principal Component Analysis for Categorical Data-2
Week 12 - Theoretical
Canonical Correlation Analysis for Categorical Data-1
Week 13 - Theoretical
Canonical Correlation Analysis for Categorical Data-2
Week 14 - Theoretical
Log-linear Models
Week 15 - Theoretical
Literature review and discussion
Week 16 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140342
Assignment110010
Individual Work70214
Quiz142142
Midterm Examination120222
Final Examination120222
TOTAL WORKLOAD (hours)152
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
OÇ-2
3
4
4
3
3
4
3
4
4
3
OÇ-3
OÇ-4
OÇ-5
3
4
3
4
4
3
3
3
3
4
Adnan Menderes University - Information Package / Course Catalogue