Course Title | Code | Semester | L+U Hour | Credits | ECTS |
---|---|---|---|---|---|
Statistics I | PSİ103 | 1. 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 | This course is an introduction to the use of scientific methods and statistical analysis of data in psychology. |
Course Content | In this course, the theoretical background of descriptive, correlational and inferential statistical methodologies will be explained and then practical applications will be given. How computer software (e.g. SPSS) can be used in practical applications will be explained through examples. |
Learning Outcomes |
- Understands the logic of statistics as applied in psychology research - Learns the basic concepts for statistical analysis used in Psychology. - Learn the application and interpretation of statistical analysis in psychology. |
Week | Topics | Learning Methods |
---|---|---|
1. Week | Introduction to Course | Course Hours Other Activities Preparation, After Class Study |
2. Week | Basic Concepts in Statistics | Other Activities Preparation, After Class Study Course Hours |
3. Week | SPSS: Entry and Organizing Data | Other Activities Preparation, After Class Study Course Hours |
4. Week | Descriptive Statistics and Reporting | Preparation, After Class Study Course Hours Other Activities |
5. Week | Comparison of Sample Means-I | Preparation, After Class Study Course Hours Other Activities |
6. Week | Comparison of Sample Means-II | Preparation, After Class Study Other Activities Course Hours |
7. Week | Comparison of Sample Means-III | Course Hours Preparation, After Class Study Other Activities |
8. Week | Practices on Analyzing Mean Differences | Preparation, After Class Study Practice |
9. Week | Midterm | Other Activities Preparation, After Class Study |
10. Week | Wrap-up | Practice Preparation, After Class Study Course Hours Other Activities |
11. Week | Correlation Analysis | Preparation, After Class Study Course Hours Other Activities |
12. Week | Practical Quiz | Other Activities Course Hours Preparation, After Class Study Practice |
13. Week | Regression Analysis-I | Other Activities Course Hours Preparation, After Class Study |
14. Week | Regression Analysis-II | Course Hours Other Activities Preparation, After Class Study |
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. |
Program Requirements | Contribution Level | DK1 | DK2 | DK3 | Measurement Method |
---|---|---|---|---|---|
PY1 | 4 | 4 | 0 | 0 | 40,60 |
PY2 | 4 | 4 | 0 | 0 | 40,60 |
PY3 | 5 | 5 | 0 | 0 | 40,60 |
PY4 | 5 | 5 | 0 | 0 | 40,60 |
PY5 | 5 | 5 | 0 | 0 | 40,60 |
PY6 | 5 | 5 | 0 | 0 | 40,60 |
PY7 | 3 | 3 | 0 | 0 | 40,60 |
PY8 | 5 | 5 | 0 | 0 | 40,60 |
PY9 | 3 | 3 | 0 | 0 | 40,60 |
PY10 | 3 | 3 | 0 | 0 | 40,60 |
PY11 | 3 | 3 | 0 | 0 | 40,60 |
PY12 | 4 | 4 | 0 | 0 | 40,60 |
PY13 | 2 | 2 | 0 | 0 | 40,60 |
PY14 | 5 | 5 | 0 | 0 | 40,60 |
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 |
Event | Quantity | Duration (Hour) | Total Workload (Hour) |
---|---|---|---|
Course Hours | 14 | 4 | 56 |
Other Activities | 1 | 43 | 43 |
Midterm 1 | 1 | 3 | 3 |
Homework 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 |