Course Title Course Code Program Level
Educational Statistics and Practices RPD527 Psychological Counseling and Guidance M.A / M.Sc.

Course Term
(Course Semester)
Teaching and Learning Methods
Theory Practice Lab Projects/Field Work Seminars/Workshops Other Total Credits ECTS Credits
42 62 80 182 3 7,5

Teaching Staff Dr. Öğrt. Üyesi Aslıhan ERMAN ASLANOĞLU
Language of Instruction Türkçe (Turkish)
Type Of Course Compulsory
Prerequisites -
Recommended Optional Programme Component -
Course Objectives The main aim of this course is to teach students fundamental statistical approaches and make them aware of the usage of SPSS.
Course Content Studying fundamental statistical approaches and SPSS.
Learning Outcomes (LO) The students who attended the course and were successful at the end of semester will acquire the followings; 1. knows basic terms of statistics. 2. be able to carry out the statistical stage of a research. 3. be aware of the usage of SPSS and implement it easily. 4. pays attention to the validity and reliability while carrying out a research.
Mode of Delivery Distance Learning
Course Outline
Week Topics
1. Week The basic concepts related with Statistics and Research (Cross-Sectional Statistics, Parametric and Non-parametric Techniques, the Stages of Hypothesis Test, the Necessary conditions to be considered in choosing the different analyzing techniques, etc.)
2. Week Introduction to SPSS: Basic Commands and Menus • Input • Study of the normality of distribution • Outlier sifting
3. Week Correlation (Pearson Moments Product, Phi, Tetrakorik, Double Sequence, Point Double Sequenced Spearman, etc The factors affecting Correlation Coefficiency)
4. Week Validity and Reliability concepts • Validity and Reliability Analysis (Item Total Correlation, Halving the Test, Re-Test Test)
5. Week Validity and Reliability Analysis (Factor analysis)
6. Week Validity and Reliability Analysis (Factor analysis)
7. Week Regration Analysis (Simple Linear Regration and Multiple Regration)
9. Week Comparison of two averages (Single Sample Test)
10. Week Comparison of two averages (T Test for unrelated samples and Mann-Whitney U Test)
11. Week Comparison of two averages (T Test for related samples and Wilcoxon Test)
12. Week Comparison of more than two averages (One way variance analysis and Podt-HocTests)
13. Week Comparison of more than two averages (Kruskall-Wallis H Test and Variance analysis of repeated measurements
14. Week Q-square and SPSS Applications
Mid-term (%) 40
Quizes (%)
Homeworks/Term papers (%)
Practice (%)
Labs (%)
Projects/Field Work (%)
Seminars/Workshops (%)
Final (%) 60
Other (%)
Total(%) 100
Course Book (s) and/or References
Work Placement(s)
The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO)