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COURSE SYLLABUS
ADVANCED STATISTICAL DATA ANALYSIS
1 Course Title: ADVANCED STATISTICAL DATA ANALYSIS
2 Course Code: EKO6108
3 Type of Course: Optional
4 Level of Course: Third Cycle
5 Year of Study: 1
6 Semester: 2
7 ECTS Credits Allocated: 4
8 Theoretical (hour/week): 2
9 Practice (hour/week) : 0
10 Laboratory (hour/week) : 0
11 Prerequisites: No
12 Recommended optional programme components: None
13 Language: Turkish
14 Mode of Delivery: Face to face
15 Course Coordinator: Prof. Dr. Nuran Bayram
16 Course Lecturers:
17 Contactinformation of the Course Coordinator: E-mail : nuranb@uludag.edu.tr
Phone: 0 224 29 41 126
Adress Uludag University,Faculty of Economics and Administrative Sciences ,Department of Econometrics, 16059 Gorukle/Bursa, Turkey:
18 Website:
19 Objective of the Course: The aim of the course is, describing the basic concepts and techniques of statistical analysis and applying them to related problems.
20 Contribution of the Course to Professional Development
21 Learning Outcomes:
1 To be able to modelling statistical problems.;
2 To be able to use statistics for multidisciplinary studies. ;
3 To be able organize data sets and to be able Veri setlerini düzenleyebilme ve bu veri setlerinden istatistiksel olarak anlamlı sonuçlar çıkarabilme,;
4 To be able to apply and interpret statistical analysis.;
5 To be able to use statistical softwares.;
6 To be able to understand differences between statistical analysis. ;
7 To be able to learn how to make, apply and interpret the statistical analysis.;
8 To be able to learn which statistical techniques can be use for different data types. ;
22 Course Content:
Week Theoretical Practical
1 A REWİEV OF PREVIOUS LESSONS ( Variable types, Scale types, Descriptive Statistics, Hypothesis Tests)
2 ONE WAY ANALYSIS OF VARIANCE AND SPSS APPLICATIONS
3 TWO WAY ANALYSIS OF VARIANCE AND SPSS APPLICATIONS
4 ONE WAY MULTIVARIATE ANALYSIS OF VARIANCE AND SPSS APPLICATIONS
5 TWO WAY MULTIVARIATE ANALYSIS OF VARIANCE AND SPSS APPLICATIONS
6 ANALYSIS OF COVARIANCE (ANCOVA)
7 ANALYSIS OF COVARIANCE (ANCOVA) AND SPSS APPLICATIONS
8 RELIABILITY ANALYSIS AND SPSS APPLICATIONS
9 FACTOR ANALYSIS
10 FACTOR ANALYSIS AND SPSS APPLICATIONS
11 SIMPLE LINEAR REGRESSION AND CORRELATION ANALYSIS AND SPSS APPLICATIONS
12 MULTIPLE LINEAR REGRESSION AND CORRELATION ANALYSIS AND SPSS APPLICATIONS
13 BINARY LOGISTIC REGRESSION ANALYSIS AND SPSS APPLICATIONS
14 MULTINOMIAL LOGISTIC REGRESSION ANALYSIS AND SPSS APPLICATIONS
23 Textbooks, References and/or Other Materials: HÜSEYİN TATLIDİL; UYGULAMALI ÇOK DEĞİŞKENLİ İSTATİSİTKSEL ANALİZ
BAYRAM NURAN, SOSYAL BİLİMLERDE SPSS İLE VERİ ANALİZİ
HAİR F. J. ANDERSON E. R. TATHAM L. R. BLACK C. W. (1998) MULTİVARİATE DATA ANALYSİS
ŞEREF KALAYCI; SPSS UYGULAMALI ÇOK DEĞİŞKENLİ İSTATİSİTKSEL ANALİZ TEKNİKLERİ
DAVİD J. BARTHOLOMCW; THE ANALYSİS AND İNTERPRETATİON OF MULTİVARİATE DATA FOR SOCİAL SCİENTİSTİS
24 Assesment
TERM LEARNING ACTIVITIES NUMBER PERCENT
Midterm Exam 0 0
Quiz 0 0
Homeworks, Performances 0 0
Final Exam 1 100
Total 1 100
Contribution of Term (Year) Learning Activities to Success Grade 0
Contribution of Final Exam to Success Grade 100
Total 100
Measurement and Evaluation Techniques Used in the Course
Information
25 ECTS / WORK LOAD TABLE
Activites NUMBER TIME [Hour] Total WorkLoad [Hour]
Theoretical 14 2 28
Practicals/Labs 0 0 0
Self Study and Preparation 2 20 40
Homeworks, Performances 0 0 0
Projects 0 0 0
Field Studies 0 0 0
Midtermexams 0 0 0
Others 2 18 36
Final Exams 1 20 20
Total WorkLoad 124
Total workload/ 30 hr 4,13
ECTS Credit of the Course 4
26 CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12
LO1 5 5 5 5 5 5 5 5 5 5 5 3
LO2 5 4 5 5 4 4 5 4 4 4 4 4
LO3 4 4 4 4 4 4 5 4 4 4 5 3
LO4 5 5 5 4 5 5 5 5 5 5 5 4
LO5 4 4 4 3 4 5 5 4 4 5 4 4
LO6 5 5 5 5 5 5 5 5 5 5 5 3
LO7 4 4 4 3 3 4 5 4 4 5 3 3
LO8 4 5 3 4 5 4 4 4 4 3 4 4
LO: Learning Objectives PQ: Program Qualifications
Contribution Level: 1 Very Low 2 Low 3 Medium 4 High 5 Very High
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E-Mail : bologna@uludag.edu.tr
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