Information Package / Course Catalogue
Applied Statistics
Course Code: TUR502
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

It is aimed at analyzing and interpretting the results of the parametric and nonparametric tests in the light of scientific research methods.

Course Content

Information will be given about descriptive statistics, introduction of SPSS, correlation, comparison of means, regression analysis, cluster analysis, scale reliability, factor analysis, multivariate analysis of variance (MANOVA) and nonparametric tests.

Name of Lecturer(s)
Lec. Erdem BAYDENİZ
Learning Outcomes
1.He/ she could select correct statistics (the most suitable for hypothesis/research questions)
2.He/ she could analyze and interpret descriptive and multivariate statistics
3.He/ she could use and operate SPSS program effectively
4.He/ she could set assumptions and models in structural equation modelling.
5.He/ she could run path analysis and interpret the results.
Recommended or Required Reading
1.SPSS Statistics Base 17.0 User’s Guide, Erişim: http://www.jou.ufl.edu/research/lab/pdf/SPSS-Statistcs-Base-Users-Guide-17.0.pdfI ISBN-13: 978-1-56827-400-3, ISBN-10: 1-56827-400-9
2.Büyüköztürk, Ş., G. Şekercioğlu, Ö. Çokluk (2012). Sosyal Bilimler İçin Çok Değişkenli İstatistik: SPSS ve LISREL Uygulamaları. 2. Baskı, Pegem Akademi Yayıncılık, ISBN 9786055885670
3.Büyüköztürk, Ş. (2012). Sosyal Bilimler İçin Veri Analizi El Kitabı İstatistik, Araştırma Deseni, SPSS Uygulamaları ve Yorumu. 16. Baskı, Pegem Akademi Yayıncılık, ISBN 9789756802748
4.Yazıcıoğlu, Y.,ve S. Erdoğan (2006). SPSS Uygulamalı Bilimsel Araştırma Yöntemleri. 2. Baskı, Detay Yayıncılık, ISBN 9758326988
5.Articles and theses
Weekly Detailed Course Contents
Week 1 - Theoretical
Information will be given about the basic terms (quantitative research process, variables, determining hypothesis/research questions, scales).
Week 2 - Theoretical
Practices will be done about data input by introducing SPSS menus.
Week 3 - Theoretical
Information will be given about missing value analysis, normal distribution analysis, tables, graphics, descriptive statistics.
Week 4 - Theoretical
Information will be given about bivariate and partial correlation
Week 5 - Theoretical
Comparing means I
Week 6 - Theoretical
Comparing means II
Week 7 - Theoretical
Comparing means III
Week 8 - Theoretical
Information will be given about simple and multiple regression analyses.
Week 9 - Theoretical
Information will be given about cluster analysis.
Week 10 - Theoretical
Information will be given about scale reliability analyses.
Week 11 - Theoretical
Information will be given about Factor analysis.
Week 12 - Theoretical
Information will be given about MANOVA.
Week 13 - Theoretical
Information will be given about nonparametric tests.
Week 14 - Theoretical
General revision will be done.
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%20
Final Examination1%30
Practice14%20
Quiz4%10
Assignment7%10
Term Assignment1%10
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Laboratory153160
Midterm Examination110111
Final Examination111112
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
OÇ-1
3
4
4
5
4
4
4
5
4
5
3
5
5
3
OÇ-2
3
4
4
5
4
4
4
5
4
5
3
5
5
3
OÇ-3
3
4
4
5
4
4
4
5
4
5
3
5
5
3
OÇ-4
3
3
4
4
5
4
5
4
5
5
3
5
4
3
OÇ-5
3
3
4
4
5
4
5
4
5
5
3
5
4
3
Adnan Menderes University - Information Package / Course Catalogue
2026