Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
-- SKY650 3 + 0 3.0 10.0
Prerequisites 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
Weekly Topics (Content)
Week Topics Learning Methods
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)) Verbal Expression Research Practice
3. Week Analysis of Two Independent Samples (Mann-Whitney U Test, Kolmogorov-Smirnov Test, Moses Test, Wald-Wolfowitz Sequence Numbers Test) Practice Verbal Expression Research
4. Week Analysis of More Than Two Independent Samples (Kruskal Wallis One-Way Analysis of Variance, Mood Median Test, Jonckheere-Terpstra Ordered Alternatives Test) Verbal Expression Research Practice
5. Week Analysis of Two Related (Conjugate-Pair) Samples (Wilcoxon Conjugate-Pair Test, Sign Test, McNemar Test, Marginal Homogeneity Test) Research Practice Verbal Expression
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) Verbal Expression Practice Research
8. Week Chi-Square Originated Nominal Association Measures (Pearson's Contingency Coefficient, Phi Coefficient, Cramer's V Coefficient) Practice Verbal Expression 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 Verbal Expression Research
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) Practice Verbal Expression Research
12. Week Eta Coefficient, Kappa, Risk and McNemar, Chochran's and Mantel-Haenszel Statistics Verbal Expression Research Practice
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
Recommended Sources
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
Relations with Education Attainment Program Course Competencies
Program Requirements Contribution Level DK1 Measurement Method
PY3 3 3 -
PY6 3 3 -
PY7 3 3 -
*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)
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