Teaching Staff
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Language of Instruction |
Türkçe (Turkish) |
Type Of Course |
Compulsory |
Prerequisites |
None |
Recommended Optional Programme Component |
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Course Objectives |
To teach Analysis Methods in relation to Categorical Data |
Course Content |
Probability Distributions and Measures of Association for Count Data, Inferences for Two-way Contingency Tables, Generalized Linear Models, Logistic Regression and Loglinear Models. |
Learning Outcomes (LO) |
To be able to distinguish between the Categorical Data Structure and the statistical analysis appropriate to these data, and to gain the ability to analyze categorical data using SPSS. |
Mode of Delivery |
Face to face |
Course Outline |
Week |
Topics |
1. Week |
Basic Definition & Concepts |
2. Week |
Probability Distributions of Categorical Coefficients |
3. Week |
Estimation & Goodness of Fit Tests |
4. Week |
Contingency Tables for Two Categorical Coefficients |
5. Week |
2x2 and RxC type Contingency Tables |
6. Week |
Homogeneity & Independence Tests and Fisher's Certainty Test |
7. Week |
Correlation Measures |
8. Week |
Contingency Tables for Three Categorical Coefficients |
9. Week |
Generalized Linear Models |
10. Week |
Log Lİnear Models for Contingency Tables |
11. Week |
Model Selection & Analysis |
12. Week |
Lojit and Probit Models & Analysis |
13. Week |
Logistics Regression Analysis |
14. Week |
Sample Applications on Real Data |
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Assessment |
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Percentage(%) |
Mid-term (%) |
40 |
Quizes (%) |
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Homeworks/Term papers (%) |
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Practice (%) |
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Labs (%) |
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Projects/Field Work (%) |
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Seminars/Workshops (%) |
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Final (%) |
60 |
Other (%) |
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Total(%) |
100 |
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Course Book (s) and/or References |
1. Agresti, A., 2002, Categorical Data Analysis, John Wiley&Sons.
2. Lawal B.,2003,Categorical Data Analysis with SAS and SPSS Applications, Lawrance Erlbaum Associates. |
Work Placement(s) |
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The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
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