Information Package / Course Catalogue
Statistics Applications and Data Analysis
Course Code: SOS437
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

In this course is aimed at teaching basic statistic applications and data analysis used in social sciences

Course Content

This course contains the statistical techniques and applications used in social sciences. It contains data entry in terms of SPSS applications, data organization, frequency distribution, graphics, basic descriptive statistical techniques and crosstab, correlation and basic regretion applications.

Name of Lecturer(s)
Learning Outcomes
1.to use statistical techniques and application in research
2.To prepare data for analysis
3.To learn statistical modelling
4.To learn SPSS
5.To Intreprete and report on data analysis
Recommended or Required Reading
1.Sipahi, Beril, Serra Yurtkoru, Murat Çinko. 2010. Sosyal Bilimlerde SPSS’le Veri Analizi. İstanbul: Beta Basım Yayım. SPSS PROGRAMI Bilgisayar
2.IBM Statistics Programme
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction and Acquaintance
Week 2 - Theoretical
Statistic Applications for social sciences
Week 3 - Theoretical
Fieldwork: Preparation of Questionnaire
Week 4 - Theoretical
Data Collection- Survey
Week 5 - Theoretical
Describing variables and data entry
Week 6 - Theoretical
Veriyi İncelemek: SORT, IF
Week 7 - Theoretical
Data organization: Recode
Week 8 - Theoretical
Descriptive Statistics Applications: Frequency Distribution
Week 9 - Theoretical
Descriptive Statistics Applications: Graphic construction and evaluating-1
Week 10 - Theoretical
Descriptive Statistics Applications: Graphic construction and evaluating-2
Week 11 - Theoretical
Discovering connections:Crosstab
Week 12 - Theoretical
Discovering connections:Chi-square, Correlation
Week 13 - Theoretical
Regression Models-1
Week 14 - Theoretical
Regression Models-3
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%10
Report1%50
Assignment4%40
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141242
Assignment131239
Laboratory141242
Report1201030
TOTAL WORKLOAD (hours)153
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
1
1
1
5
3
1
1
5
1
1
1
OÇ-2
1
1
1
5
4
1
1
5
1
1
1
OÇ-3
1
1
1
1
1
1
1
5
1
1
1
OÇ-4
1
1
1
1
1
1
1
5
1
1
1
OÇ-5
1
1
1
1
1
1
1
5
1
1
1
Adnan Menderes University - Information Package / Course Catalogue
2026