Information Package / Course Catalogue
Applied Economic Data Analysis
Course Code: ECN526
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: 5
Objectives of the Course

The aim of this course is to provide students with theoretical and practical knowledge about applying, interpreting and reporting of statistical analysis techniques with statistical package program for social sciences (SPSS).

Course Content

Organizing the data, various analysis methods, testing the data with these analyzes, assumptions of multivariate statistical methods, multidimensional scaling and reliability analysis...

Name of Lecturer(s)
Prof. Kurtuluş BOZKURT
Learning Outcomes
1.Have knowledge about the use of SPSS program.
2.Applies statistical analysis methods with SPSS.
3.Interprets and compares statistical analyzes with SPSS.
4.Apply statistical analysis techniques to economic data.
5.It can generate information from analysis results.
Recommended or Required Reading
1.Şeref KALAYCI – SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri, Asil Yayınevi.
2.Beril SİPAHİ, Serra YURTKORU, Murat ÇİNKO – Sosyal Bilimlerde SPSS’le Veri Analizi, Beta Yayınevi.
3.J. P. VERMA – Data Analysis in Management with SPSS Software, Springer.
4.Andy FIELD – Discovering Statistics Using IBM SPSS Statistics.
5.R. Lyman OTT, Michael LONGNECKER – An Introduction to Statistical Methods and Data Analysis, Brooks/Cole Cengage Learning.
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Data Management
Week 2 - Theoretical & Practice
Descriptive Analysis
Week 3 - Theoretical & Practice
Hypothesis Testing
Week 4 - Theoretical & Practice
Correlation Analysis
Week 5 - Theoretical & Practice
Analysis of Variance
Week 6 - Theoretical & Practice
Analysis of Covariance
Week 7 - Theoretical & Practice
Regression Analysis
Week 8 - Theoretical & Practice
Assumptions of Multivariate Statistical Methods
Week 9 - Intermediate Exam
Midterm Examination
Week 10 - Theoretical & Practice
Multiple Linear Regression Model, Logistic Regression Analysis
Week 11 - Theoretical & Practice
Factor Analysis
Week 12 - Theoretical & Practice
Discriminant Analysis
Week 13 - Theoretical & Practice
Cluster Analysis
Week 14 - Theoretical & Practice
Multidimensionel Scaling, Reliability Analysis
Week 15 - Theoretical & Practice
Multidimensionel Scaling, Reliability Analysis
Week 16 - Final Exam
Final Examination
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140114
Lecture - Practice140228
Individual Work140228
Midterm Examination123225
Final Examination128230
TOTAL WORKLOAD (hours)125
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
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
OÇ-1
2
5
3
2
4
3
OÇ-2
2
4
4
3
3
4
OÇ-3
2
3
3
4
4
3
OÇ-4
3
2
3
2
3
2
OÇ-5
3
2
3
2
3
2
Adnan Menderes University - Information Package / Course Catalogue
2026