Information Package / Course Catalogue
Statistics
Course Code: İFB606
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

It is aimed to be comprehended statistical methods and applications of these methods, implement and report of these methods.

Course Content

Sample calculations, hypothesis tests, correlation, regression, logistic regression, reliability and validity

Name of Lecturer(s)
Prof. Adem ÖZDEMİR
Learning Outcomes
1.Be able to chose the statistical method and apply it.
2.Be able to know to use the right data collection tools.
3.Be able to use SPSS program.
4.Be able to interpret significance levels.
5.Be able to evaluate the analysis and write report.
Recommended or Required Reading
1.Aktürk, Z., Acemoğlu, H. (2011). Sağlık Çalışanları İçin araştırma ve Pratik İstatistik. 139-177.
2.Şener Büyüköztürk (2001). Deneysel Desenler. PegemA Yayıncılık. Ankara. 1-77.
3.Eğitimde Ölçme ve Değerlendirme - Doç. Dr. Halil TEKİN
4.Test Hazırlama Kılavuzu - Durmuş Ali Özçelik
5.Sosyal Bilimler için Veri Analizi El Kitabı, Şener Büyüköztürk
6.Assessing Science Understanding, J. J. Mintzes, J. H. Wandersee, J. D. Novak
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to course; Aims, topics, materials, evaluation
Week 2 - Theoretical
Hyothesis tests: Population, parameter, sample, sample calculation, hypothesis, null and alternative hypothesis
Week 2 - Preparation Work
http://www.youtube.com/watch?v=0qU7PLjO7IU
Week 3 - Theoretical
Hypothesis tests: Hypothesis test, error, test statistics, significance level, assumptions of hypothesis tests, phases of tests
Week 3 - Preparation Work
http://www.youtube.com/watch?v=0qU7PLjO7IUhttp://www.ats.ucla.edu/stat/spss/whatstat/whatstat.htm
Week 4 - Theoretical
Data analysis: Types of t-tests
Week 4 - Preparation Work
Aktürk, Z., Acemoğlu, H. (2011). Sağlık Çalışanları İçin araştırma ve Pratik İstatistik. 139-177.
Week 5 - Theoretical
SPSS application: Types of t-tests
Week 5 - Preparation Work
Aktürk, Z., Acemoğlu, H. (2011). Sağlık Çalışanları İçin araştırma ve Pratik İstatistik. 139-177.
Week 6 - Theoretical
Data analysis: non-parametric tests
Week 6 - Preparation Work
Aktürk, Z., Acemoğlu, H. (2011). Sağlık Çalışanları İçin araştırma ve Pratik İstatistik. 139-177.
Week 7 - Theoretical
SPSS application: non-parametric tests
Week 7 - Preparation Work
Aktürk, Z., Acemoğlu, H. (2011). Sağlık Çalışanları İçin araştırma ve Pratik İstatistik. 139-245
Week 8 - Theoretical
Data analysis: Correlation and regression
Week 8 - Preparation Work
Aktürk, Z., Acemoğlu, H. (2011). Sağlık Çalışanları İçin araştırma ve Pratik İstatistik. 247-251
Week 9 - Theoretical
Midterm exam SPSS application: Crrelation and regression
Week 10 - Theoretical
Data analysis and SPSS application: Logistic regression
Week 10 - Preparation Work
Aktürk, Z., Acemoğlu, H. (2011). Sağlık Çalışanları İçin araştırma ve Pratik İstatistik. 247-251
Week 11 - Theoretical
Types of reliability
Week 11 - Preparation Work
Aktürk, Z., Acemoğlu, H. (2011). Sağlık Çalışanları İçin araştırma ve Pratik İstatistik. 253-261
Week 12 - Theoretical
Types of validity
Week 12 - Preparation Work
Aktürk, Z., Acemoğlu, H. (2011). Sağlık Çalışanları İçin araştırma ve Pratik İstatistik. 277-281
Week 13 - Theoretical
Factor analysis
Week 13 - Preparation Work
Aktürk, Z., Acemoğlu, H. (2011). Sağlık Çalışanları İçin araştırma ve Pratik İstatistik. 277-281
Week 14 - Theoretical
Repetition
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory130339
Assignment2048
Individual Work130565
Midterm Examination140444
Final Examination140444
TOTAL WORKLOAD (hours)200
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
OÇ-1
4
4
4
4
OÇ-2
4
4
OÇ-3
4
5
4
5
5
4
OÇ-4
5
5
5
5
5
5
5
OÇ-5
5
5
5
5
5
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026