Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
Statistics II PSİ104 2. Semester 2 + 2 3.0 7.0
Prerequisites None
Language of Instruction Turkish
Course Level Undergraduate
Course Type
Mode of delivery Formal Education
Course Coordinator Assist. Prof. Dr. AHMET FURKAN TOSYALI
Instructors AHMET FURKAN TOSYALI
Assistants
Goals To be able to calculate and interpret descriptive statistics by knowing the basic concepts of statistics.
Course Content A more practical understanding of statistical methods is developed. Techniques commonly used in the social and behavioral sciences are presented.
Learning Outcomes - Organizes the data and making it ready for analysis.
- Applies descriptive statistics by analyzing data.
- Interprets data based on descriptive statistics and graphs.
- Learns some statistical analysis techniques used in psychology.
- Understands the logic of statistics as applied in psychology research and learns which analysis technique should be applied in which situation.
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Introduction to Course Preparation, After Class Study Course Hours Other Activities
2. Week Mean Difference Tests (Wrap-up) Other Activities Preparation, After Class Study Course Hours
3. Week One-Way ANOVA Course Hours Other Activities Preparation, After Class Study
4. Week Two-Way ANOVA Preparation, After Class Study Course Hours Other Activities
5. Week ANCOVA Preparation, After Class Study Course Hours Other Activities
6. Week Repeated Measures ANOVA Course Hours Preparation, After Class Study Other Activities
7. Week Mixed Designs ANOVA Other Activities Preparation, After Class Study Course Hours
8. Week Midterm
9. Week Wrap-up Preparation, After Class Study Course Hours Other Activities
10. Week MANOVA Course Hours Preparation, After Class Study Other Activities
11. Week Mediation Analysis Preparation, After Class Study Course Hours Other Activities
12. Week SPSS Practices/Oral Test Preparation, After Class Study Other Activities Course Hours
13. Week SPSS Practices/Oral Test Other Activities Preparation, After Class Study Course Hours
14. Week General Review Other Activities Preparation, After Class Study Course Hours
Recommended Sources
Can, A. (2014). SPSS ile bilimsel araştırma sürecinde nicel veri analizi (2. Baskı). Pegem Akademi.
Büyüköztürk, Ş. (2015). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni, SPSS uygulamaları ve yorum (Genişletilmiş 21. Baskı). Pegem Akademi.
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 DK2 DK3 DK4 DK5 Measurement Method
PY1 4 0 0 0 0 0 40,60
PY2 2 0 0 0 0 0 40,60
PY3 5 0 0 0 0 0 40,60
PY4 5 0 0 0 0 0 40,60
PY5 5 0 0 0 0 0 40,60
PY6 5 0 0 0 0 0 40,60
PY7 5 0 0 0 0 0 40,60
PY8 5 0 0 0 0 0 40,60
PY9 3 0 0 0 0 0 40,60
PY10 3 0 0 0 0 0 40,60
PY11 3 0 0 0 0 0 40,60
PY12 4 0 0 0 0 0 40,60
PY13 2 0 0 0 0 0 40,60
PY14 5 0 0 0 0 0 40,60
*DK = Course's Contrubution.
0 1 2 3 4 5
Course's Level of contribution None Very Low Low Fair High Very High
Method of assessment/evaluation Written exam Oral Exams Assignment/Project Laboratory work Presentation/Seminar
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Hours 14 4 56
Other Activities 1 43 43
Midterm 1 1 3 3
Quiz 1 1 38.5 38.5
Final 1 3 3
Practice 1 35 35
Total Workload 178.5
ECTS Credit of the Course 7.0