| Teaching Staff
|
Prof. Dr. Selim Hovardaoğlu |
| Language of Instruction |
Türkçe (Turkish) |
| Type Of Course |
Compulsory |
| Prerequisites |
There is no prerequisite for this course. |
| Recommended Optional Programme Component |
|
| Course Objectives |
In this course, the connections between statistics, science and psychology; measurement, connection of data collection with statistics; organizing data, summarizing it appropriately; finding the link between the variables; It is aimed to estimate the measurements and gain the concept of explained variance. |
| Course Content |
Basic concepts such as science, psychology, statistics, research design, variable types; collection rules; In addition to concepts such as descriptive statistics and normal distribution, general linear model and equation solutions related to this model and significance tests are the main subjects of the course. |
| Learning Outcomes (LO) |
The students who successfully complete this course will gain the following:
1) Understanding the basic descriptive values used in psychology
2) Understanding the concepts of variance explained by the general linear model
3) Explaining and using the results of the significance tests on the concepts of variance explained by the general linear model
4) Linking general linear models to research design |
| Mode of Delivery |
Face to face |
| Course Outline |
| Week |
Topics |
| 1. Week |
BASIC CONCEPTS |
| 2. Week |
ADDITIONTION RULES |
| 3. Week |
BASIC DESCRIPTIVE STATISTICS |
| 4. Week |
PREPARING AND READING CROSS CHARTS |
| 5. Week |
PRINCIPLES, RULES, PERCENTAGE POINTS, STANDARD SCORES OF DATA GROUPING |
| 6. Week |
CHARACTERISTICS OF NORMAL DISTRIBUTION AND RULES FOR DRAWING AND READING |
| 7. Week |
MID-TERM |
| 8. Week |
INTRODUCTION TO THE GENERAL LINEAR MODEL: THE EQUALITY OF A LINE |
| 9. Week |
PROPERTIES OF REGRESSION LINE, CORRELATION AND THE CONCEPT OF EXPLANED VARIANCE |
| 10. Week |
MATRIX ALGEBRA |
| 11. Week |
MULTIPLE REGRESSION AND CORRELATION, MATRIX SOLUTIONS OF MULTIPLE REGRESSION EQUATIONS |
| 12. Week |
MATRIX SOLUTIONS OF SQUARE SUMMS |
| 13. Week |
SIGNIFICANCE TESTS, TYPE 1 AND TYPE 2 ERROR, NULL_HYPOTHESIS CONCEPT |
| 14. Week |
t-TEST ANOVA MODEL FOR EXPLAINED VARIANCE AND CORRELATION |
|
| Assessment |
| |
Percentage(%) |
| 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 |
ALLEN, L. EDWARDS (1995) DOĞRUSAL REGRESYON VE KORELASYONA GİRİŞ.(ÇEV. İ. S. HOVARDAOĞLU) ANKARA: HATİBOĞLU |
| Work Placement(s) |
There is no internship for this course. |
| The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
| PQ1 | PQ2 | PQ3 | PQ4 | PQ5 | PQ6 | PQ7 | PQ8 | PQ9 | PQ10 | PQ11 | PQ12 | PQ13 | LO1 | 4 | 2 | 3 | 4 | 4 | 5 | 5 | 4 | 4 | 4 | 2 | 3 | 3 | LO2 | 2 | 2 | 2 | 4 | 3 | 5 | 5 | 3 | 4 | 3 | 2 | 4 | 3 | LO3 | 2 | 2 | 2 | 4 | 3 | 5 | 5 | 4 | 4 | 3 | 2 | 4 | 4 | LO4 | 2 | 2 | 2 | 4 | 3 | 5 | 5 | 4 | 4 | 4 | 2 | 4 | 4 |
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |