Information Package / Course Catalogue
Quantitative Data Analysis Techniques
Course Code: SOSY628
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: 5
Objectives of the Course

The main objective of this lecture is to provide students with a knowledge about quantitative data analysis techniques mainly used in sociological researches. In addition it aims to show and teach its application by using computer programmes.

Course Content

Primarily starting with SPSS program, a number of other data analysis techniques such as Excel will be taught. Their application practices will be carried out.

Name of Lecturer(s)
Learning Outcomes
1.be able to carry out data analysis by using SPSS in a quantitative research
2.be able to use Excel for a quantitative research
3.be able to interprete data and analyse sociologically
4.To understand the nature of relational data
5.To be able to use social network analysis
Recommended or Required Reading
1.Beril Durmuş, E. S. Yurtkoru ve M. Çinko (2011) Sosyal Bilimlerde SPSS'le Veri Analizi, Beta Basım Yayım
2.Nuran Bayram (2012) Sosyal Bilimlerde SPSS ile Veri Analizi, Seçkin Yayıncılık
3.Süleyman Uzunköprü (2008) Başlangıçtan İleri Düzeye Excel ve Makrolar, Beşir Kitabevi: İstanbul
4.George, Darren, Paul Mallery, SPSS for Windows Step by Step, A Simple Guide and Reference 10.0 Update, Abacon, Third Edition, USA.
5.Büyüköztürk, Şener. (2002). Sosyal Bilimler İçin Veri Analizi El Kitabı: İstatistik, Araştırma Deseni SPSS Uygulamaları ve Yorum, Pagem Yayıncılık: Ankara
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to the lecture, expectations and objectives
Week 2 - Theoretical
Some considerations to be taken into account in data analysis
Week 2 - Preparation Work
Students are expected to read previously given reading suggestions
Week 3 - Theoretical
Descriptive statistics, probability distributions
Week 3 - Preparation Work
Students are expected to read previously given reading suggestions
Week 4 - Theoretical
Testing statistical hypothesis
Week 4 - Preparation Work
Students are expected to read previously given reading suggestions
Week 5 - Theoretical
Correlation and regression analysis
Week 5 - Preparation Work
Students are expected to read previously given reading suggestions
Week 6 - Theoretical
SPSS (General Introduction to the programme)
Week 6 - Preparation Work
Students are expected to read previously given reading suggestions
Week 7 - Theoretical
SPSS (Data entry, some data entry exercises) I
Week 7 - Preparation Work
Students are expected to read previously given reading suggestions and to carry out some application practices
Week 8 - Theoretical
SPSS (Data entry, some data entry exercises) II
Week 8 - Preparation Work
Students are expected to read previously given reading suggestions and to carry out some application practices
Week 9 - Theoretical
SPSS (Creating tables)
Week 10 - Theoretical
SPSS (Interpretation of the tables)
Week 10 - Preparation Work
Students are expected to read previously given reading suggestions and to carry out some application practices
Week 11 - Theoretical
Social Network Analysisi (Application practices) I
Week 11 - Preparation Work
Students are expected to read previously given reading suggestions and to carry out some application practices
Week 12 - Theoretical
Social Network Analysis (Application practices) II
Week 12 - Preparation Work
Students are expected to read previously given reading suggestions and to carry out some application practices
Week 13 - Theoretical
Data Interpretation & Writing Report I
Week 13 - Preparation Work
Students are expected to read previously given reading suggestions and to carry out some application practices
Week 14 - Theoretical
Data Interpretation & Writiting Report II
Week 14 - Preparation Work
Students are expected to read previously given reading suggestions and to carry out some application practices
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory150345
Assignment510050
Term Project115015
Individual Work151015
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
OÇ-1
2
4
2
5
2
3
2
3
4
4
4
OÇ-2
2
4
2
5
2
3
2
3
4
4
4
OÇ-3
2
4
2
5
2
3
2
3
4
4
4
OÇ-4
2
4
2
5
2
3
2
3
4
4
4
OÇ-5
2
4
2
5
2
3
2
3
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026