Information Package / Course Catalogue
Computer Based Statistics in Educational Research
Course Code: EY532
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

In this course, it is aimed to make students be able to choose the appropriate statistical techniques for data, to enter data to SPSS and use the appropriate statistical techniques with SPSS.

Course Content

Basic concepts related to statistics, organization of data, applications in statistical package programs. In this context, percentile and the creation of frequency tables, parametric and non-parametric statistical analysis are covered in this course. (chi-square, independet t-test, ANOVA, Kruskal-Wallis, Whitney-U, dependet t-test, Wilcon Z).

Name of Lecturer(s)
Assoc. Prof. Mehmet ULUTAŞ
Learning Outcomes
1.Uses the SPSS program
2.Applies the statistical procedures
3.Selects the data with appropriate statistical program
4.Interpret the table of analysis
5.To be able to analyze the data and to be able to interpret the analyses
Recommended or Required Reading
1.Büyüköztürk, Ş. (2012. )Sosyal Bilimler İçin Veri Analizi. Ankara: Pegem A Publication.
2.Büyüköztürk, Ş. (2007) Deneysel Desenler. Ankara: PegemA A Publication.
3.Karasar, N. (2012). Bilimsel Araştırma Yöntemi. Ankara: Nobel Publication-Distribution.
4.Norusis, M.J. (2004). SPSS 12.0 Guide to Analysis. Prentice Hall.
5.Green, B., S. & Salkind, N., J. (2005). Using SPSS for Windows and Macintosh: analyzing and understanding data. New Jersy: Pearson Prentice Hall
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic concepts in statistics , description of statistics
Week 1 - Preparation Work
Büyüköztürk, Ş. (2012. )Sosyal Bilimler İçin Veri Analizi. Ankara: Pegem A Publishing. (p.1-12)
Week 2 - Theoretical
Parametric and non-parametric techniques
Week 2 - Preparation Work
Büyüköztürk, Ş. (2012. )Sosyal Bilimler İçin Veri Analizi. Ankara: Pegem A Publishing. (p.1-12)
Week 3 - Theoretical
Data types, Determination of statistics with respect to data types
Week 3 - Preparation Work
Karasar, N. (2012). Bilimsel Araştırma Yöntemi. Ankara: Nobel Publication-Distribution. (p.131-197)
Week 4 - Theoretical
Data entry, specifications.
Week 4 - Preparation Work
Karasar, N. (2012). Bilimsel Araştırma Yöntemi. Ankara: Nobel Publication-Distribution. (p.197-245).
Week 5 - Theoretical
Data analysis by SPSS. Basic applications: creating folder, introducing variables.
Week 5 - Preparation Work
Karasar, N. (2012). Bilimsel Araştırma Yöntemi. Ankara: Nobel Publication-Distribution. (p.197-245).
Week 6 - Theoretical
The creation of frequency tables and graphs, descriptive statistics: mean, standard deviation, range etc.
Week 6 - Preparation Work
Karasar, N. (2012). Bilimsel Araştırma Yöntemi. Ankara: Nobel Publication-Distribution. (p.197-245).
Week 7 - Theoretical
Ki-square Test by SPSS
Week 7 - Preparation Work
Literature review
Week 8 - Theoretical
T-test in SPSS
Week 9 - Theoretical
One Way ANOVA in SPSS
Week 9 - Preparation Work
Green, B., S. & Salkind, N., J. (2005). Using SPSS for Windows and Macintosh: analyzing and understanding data. New Jersy: Pearson Prentice Hall. (p.189-221).
Week 10 - Theoretical
Mann Withney-U, Kruskal Wallis by SPSS
Week 10 - Preparation Work
Literature review
Week 11 - Theoretical
Wilcoxon-z test by SPSS
Week 11 - Preparation Work
Literature review
Week 12 - Theoretical
SPSS Applications
Week 12 - Preparation Work
Green, B., S. & Salkind, N., J. (2005). Using SPSS for Windows and Macintosh: analyzing and understanding data. New Jersy: Pearson Prentice Hall.
Week 13 - Theoretical
SPSS Applications
Week 13 - Preparation Work
Green, B., S. & Salkind, N., J. (2005). Using SPSS for Windows and Macintosh: analyzing and understanding data. New Jersy: Pearson Prentice Hall.
Week 14 - Theoretical
SPSS Applications
Week 14 - Preparation Work
Green, B., S. & Salkind, N., J. (2005). Using SPSS for Windows and Macintosh: analyzing and understanding data. New Jersy: Pearson Prentice Hall.
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1453112
Midterm Examination1538
Final Examination1538
TOTAL WORKLOAD (hours)128
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
OÇ-1
4
4
4
4
4
4
4
4
OÇ-2
3
3
3
3
3
3
3
3
OÇ-3
2
2
2
2
2
2
2
2
OÇ-4
3
3
3
3
3
3
3
3
OÇ-5
5
5
5
5
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026