Information Package / Course Catalogue
Quantitative Data Analysis
Course Code: YBS475
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 1
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

This course aims to; To learn practical techniques for quantitative data analysis and interpretation by using statistical software (SPSS etc.) Find the literature you need to do research on a particular topic, data collection, data evaluation and report writing techniques

Course Content

Basic concepts of statistics (variables and types, parametric and non-parametric tests, average, standard deviation, normal distribution, skewness and kurtosis, standard errors and confidence intervals of the measurement), Recognition SPSS and data editing, obtaining descriptive statistics with SPSS, graphing and tabulation descriptive statistics with SPSS, t test for independent samples, t test for related samples, One-way analysis of variance for independent samples , Two-way analysis of variance for independent samples, one way multivariate analysis of variance, analysis of covariance, relational analysis and regression analysis

Name of Lecturer(s)
Learning Outcomes
1.At the end of the course; To explain the scientific research process and methods,
2.to analyze scientific research and be able to use their assessment skills,
3.to collect quantitative data , analyze and use assessment techniques by using statistical software
4.To prepare a research proposal and report.
5.prepare a qualitative research report
Recommended or Required Reading
1.Instructor Course Notes
2.Field, A. (2005). Discovering Statistics Using SPSS. (2d ed.). London: Sage.
3.Can, A. (2014). SPSS ile Bilimsel Araştırma Süresince Nicel Veri Analizi, Pegem: Ankara.
4.Pallant, J. (2007). SPSS Survival Manual, 3rd Edition, McGraw Hill: New York.
Weekly Detailed Course Contents
Week 1 - Theoretical
Quantitative research methods and data analysis
Week 1 - Preparation Work
Course Material
Week 2 - Theoretical
basic concepts of statistics
Week 2 - Preparation Work
Course Material
Week 3 - Theoretical
To regulation of data and entry to SPSS
Week 3 - Preparation Work
Course Material
Week 4 - Theoretical
Descriptive statistics, graphing and tabulation
Week 4 - Preparation Work
Course Material
Week 5 - Theoretical
t test for independent samples
Week 5 - Preparation Work
Course Material
Week 6 - Theoretical
t test for related samples
Week 6 - Preparation Work
Course Material
Week 7 - Theoretical
Unbound (free) one-way analysis of variance for samples
Week 7 - Preparation Work
Course Material
Week 8 - Theoretical
Unbound (free) two-way analysis of variance for samples
Week 8 - Preparation Work
Course Material
Week 9 - Theoretical
One-way multivariate analysis of variance (one-way ANOVA)
Week 10 - Theoretical
Analysis of covariance
Week 11 - Theoretical
Relational analysis and regression analysis
Week 11 - Preparation Work
Course Material
Week 12 - Theoretical
Relational analysis and regression analysis
Week 12 - Preparation Work
Course Material
Week 13 - Theoretical
Factor analysis
Week 13 - Preparation Work
Course Material
Week 14 - Theoretical
Factor analysis
Week 14 - Preparation Work
Course Material
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory132252
Lecture - Practice130113
Assignment132026
Term Project123023
Individual Work131013
Midterm Examination19110
Final Examination112113
TOTAL WORKLOAD (hours)150
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
PÇ-15
OÇ-1
4
3
4
4
3
4
3
3
3
2
2
2
3
4
3
OÇ-2
3
2
4
4
4
4
3
4
3
1
2
2
3
4
2
OÇ-3
4
3
4
4
3
4
2
2
2
1
5
4
3
3
5
OÇ-4
4
2
4
4
2
4
2
3
2
2
2
2
4
4
2
OÇ-5
4
2
5
5
2
5
2
3
2
2
2
2
5
5
2
Adnan Menderes University - Information Package / Course Catalogue
2026