Course Title | Code | Semester | L+U Hour | Credits | ECTS |
---|---|---|---|---|---|
-- | SKY650 | 3 + 0 | 3.0 | 10.0 |
Prerequisite Courses | None |
Language of Instruction | Turkish |
Course Level | Graduate |
Course Type | |
Mode of delivery | Theoretical and Presentation |
Course Coordinator |
Prof. Dr. Yalçın KARAGÖZ |
Instructor(s) | |
Assistants | |
Goals | Purpose of this Lesson; Understanding of Nonparametric Analysis Techniques. Non-Parametric Analysis Techniques to Be Explained; Analysis of Single Sample Data, Analysis of Two Independent Samples, Analysis of More than Two Independent Samples, Analysis of Two Paired Samples, Analysis of More than Two Related Samples, Chi-Square in Cross Tables, Association Measures, Logistic Regression (Logit Models) Analysis, Clustering Analysis are the subjects. The aim is to make analyzes and interpretations regarding these issues |
Course Content | Nonparametric Analysis Techniques; Analysis of Single Sample Data, Analysis of Two Independent Samples, Analysis of More than Two Independent Samples, Analysis of Two Paired Samples, Analysis of More than Two Related Samples, Chi-Square in Cross Tables, Association Measures, Logistic Regression (Logit Models) Analysis, Clustering Analysis Topics Will Be Explained |
Learning Outcomes |
- Student; Nonparametric Analysis Techniques; Analysis of Single Sample Data, Analysis of Two Independent Samples, Analysis of More than Two Independent Samples, Analysis of Two Paired Samples, Analysis of More than Two Related Samples, Chi-Square in Cross Tables, Association Measures, Logistic Regression (Logit Models) Will be able to analyze and interpret analysis and clustering analysis topics |
Week | Topics/Applications | Method |
---|---|---|
1. Week | Basic Concepts (Variable and its types, measurement and scale levels, establishing hypotheses, null and alternative hypotheses, significance level, power of the test, selection of appropriate statistical techniques, classification of analysis techniques (classification according to the number of variables, data characteristics classification), comparison of parametric and nonparametric analysis techniques) | Research Verbal Expression Practice |
2. Week | Analysis of Single Sample Data (Chi Square Test, Wald-Wolfowitz Runs, Kolmogorov-Smirnov Fit (Goodness of Fit)) | Research Verbal Expression Practice |
3. Week | Analysis of Two Independent Samples (Mann-Whitney U Test, Kolmogorov-Smirnov Test, Moses Test, Wald-Wolfowitz Sequence Numbers Test) | Research Practice Verbal Expression |
4. Week | Analysis of More Than Two Independent Samples (Kruskal Wallis One-Way Analysis of Variance, Mood Median Test, Jonckheere-Terpstra Ordered Alternatives Test) | Research Verbal Expression Practice |
5. Week | Analysis of Two Related (Conjugate-Pair) Samples (Wilcoxon Conjugate-Pair Test, Sign Test, McNemar Test, Marginal Homogeneity Test) | Research Verbal Expression Practice |
6. Week | Analysis of More than Two Related Samples (Friedman Test, Kendall's W Coefficient of Agreement Test, Cochran Q Test) | Practice Research Verbal Expression |
7. Week | Chi-Square in Cross Tables (Chi-square Independence Test, Yates Chi-square Test (Continuity Correction), Fisher's Exact Test, Homogeneity Test) | Research Verbal Expression Practice |
8. Week | Chi-Square Originated Nominal Association Measures (Pearson's Contingency Coefficient, Phi Coefficient, Cramer's V Coefficient) | Verbal Expression Practice Research |
9. Week | Nominal Relationship Coefficients Based on Reducing Forecast Error (Goodman-Kruskal's Lambda Coefficient, Theil's Uncertainty Coefficient) | Research Verbal Expression Practice |
10. Week | Ordinal Scale Correlation Coefficients (Goodman-Kruskal's Gamma (Y) Coefficient, Somers' d Coefficient (Somers' d)) | Practice Research Verbal Expression |
11. Week | Ordinal Scale Correlation Coefficients (Kendall's Tau-b Coefficient (Kendall's Tau-b), Kendall-Stuart's Tau-c Coefficient (Kendall's Tau-c), Spearman Rank Correlation Coefficient) | Research Verbal Expression Practice |
12. Week | Eta Coefficient, Kappa, Risk and McNemar, Chochran's and Mantel-Haenszel Statistics | Verbal Expression Practice Research |
13. Week | Logistic Regression (Logit Models) Analysis (Logistic Regression Types, Binary Logistic Regression (BLOGREG) Analysis, Ordered Logistic Regression (OLAGREG) Analysis, Nominal Logistic Regression (NLOGREG) Analysis) | Verbal Expression Practice Research |
14. Week | Clustering Analysis | Research Verbal Expression Practice |
SPSS AMOS META Applied Biostatistics (2021)., Karagöz Yalçın, Nobel Academic Publishing, Number of Editions: 3, Number of Pages 1296, ISBN: 978-625-439-583-3 |
SPSS AMOS META Applied Statistical Analysis (2019), Karagöz Yalçın, Nobel Academic Publishing, Number of editions: 3, Number of Pages 1336, ISBN: 978-605-320-547-0 |
Biostatistics (2019)., Sümbüloğlu, Kadir, Sümbüloğlu Vildan, Hatiboğlu Publishing House, Number of editions: 20, Number of pages 302, ISBN: 9789757527121 |
Program Requirements | Contribution Level | DK1 | Measurement Method |
---|---|---|---|
PY3 | 3 | 3 | - |
PY6 | 3 | 3 | - |
PY7 | 3 | 3 | - |
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) |
---|---|---|---|
Midterm 1 | 1 | 40 | 40 |
Quiz 1 | 1 | 40 | 40 |
Quiz 2 | 1 | 40 | 40 |
Final | 1 | 40 | 40 |
Classroom Activities | 5 | 19 | 95 |
Total Workload | 255 | ||
ECTS Credit of the Course | 10.0 |