Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|
| STATISTICAL METHODS | DÇCD1214731 | Spring Semester | 3+0 | 3 | 8 |
| Course Program | Cuma 10:00-10:45 Cuma 11:00-11:45 Cuma 12:00-12:45 |
| Prerequisites Courses | |
| Recommended Elective Courses | |
| Language of Course | Turkish |
| Course Level | Third Cycle (Doctorate Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Serkan ETİ |
| Name of Lecturer(s) | Assoc.Prof. Serkan ETİ |
| Assistant(s) | |
| Aim | To give advanced information about statistical methods and to create information to use in future research. |
| Course Content | This course contains; Definition of Statistics - Major Phases of Statistical Methodology - Preparation of Graphs and Tables,Descriptors: Measures of Central Tendency - Measures of Diffusion - Measures of Skewness - Measures of Kurtosis,Probability - Probability Distributions - Sampling Distributions: z - t - F - Chi-square,Student-t tests - Mann Whitney U - Wilcoxon Tests,One Way ANOVA - Repeated ANOVA - Kruskal Wallis Test - Friedman Test,Correlation: Pearson - Spearman - Kendall Tau,Simple Linear Regression,Multiple Linear Regression,Logistic Regression,MANOVA,Chi-Square Tests: Pearson - Fisher - G,Roc Curve: Sensitivity -Specificity,Reliability: Cronbach's Alpha - Composite Reliability - ICC,General Review. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Ability to interpret descriptive statistics | 16, 6, 9 | A |
| Ability to interpret tables and graphics | 12, 6, 9 | A |
| Ability to calculate Descriptive Statistics | 10, 6, 9 | A |
| Ability to interpret normal distribution | 10, 6, 9 | A |
| Create a hypothesis and determine the right method. | 16, 6, 9 | A |
| Ability to calculate the number of samples | 12, 16, 6, 9 | A |
| Can use SPSS | 16, 6, 9 | A |
| Can test our hypotheses | 10, 16, 9 | A |
| Teaching Methods: | 10: Discussion Method, 12: Problem Solving Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|
| 1 | Definition of Statistics - Major Phases of Statistical Methodology - Preparation of Graphs and Tables | Source 1 |
| 2 | Descriptors: Measures of Central Tendency - Measures of Diffusion - Measures of Skewness - Measures of Kurtosis | Source 1 |
| 3 | Probability - Probability Distributions - Sampling Distributions: z - t - F - Chi-square | Source 1 |
| 4 | Student-t tests - Mann Whitney U - Wilcoxon Tests | Source 2 |
| 5 | One Way ANOVA - Repeated ANOVA - Kruskal Wallis Test - Friedman Test | Source 2 |
| 6 | Correlation: Pearson - Spearman - Kendall Tau | Source 2 |
| 7 | Simple Linear Regression | Source 2 and Source 3 |
| 8 | Multiple Linear Regression | Source 2 and Source 3 |
| 9 | Logistic Regression | Source 2 and Source 3 |
| 10 | MANOVA | Source 2 and Source 3 |
| 11 | Chi-Square Tests: Pearson - Fisher - G | Source 2 and Source 3 |
| 12 | Roc Curve: Sensitivity -Specificity | Source 3 |
| 13 | Reliability: Cronbach's Alpha - Composite Reliability - ICC | Source 2 |
| 14 | General Review | Lecture Notes |
| Resources |
| 1- Sümbüloğlu, K., Sümbüloğlu, V. (2012). Biyoistatistik, İstanbul: Hatipoğlu Yayınları.
2- Alpar, R. (2011). Çok Değişkenli İstatistiksel Yöntemler, Ankara: Detay Yayıncılık
3- Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007), Using Multivariate Statistics, Boston: Pearson |
| Lecture notes, related Web sites |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications |
| No | Program Qualification | Contribution Level |
| 1 | 2 | 3 | 4 | 5 |
| 1 | Has comprehensive knowledge pertaining basic and advanced oral and maxillofacial surgery. Is aware of basic scientific problems and research topics. Can produce new hypothesis accordingly. Is capable of finding literature and following advancements in the scientific field. | | | | | |
| 2 | | | | | | |
| 3 | | | | | | |
| 4 | | | | | | |
| 5 | | | | | | |
| 6 | | | | | | |
| 7 | | | | | | |
Assessment Methods
| Contribution Level | Absolute Evaluation |
| Rate of Midterm Exam to Success | | 50 |
| Rate of Final Exam to Success | | 50 |
| Total | | 100 |
| ECTS / Workload Table |
| Activities | Number of | Duration(Hour) | Total Workload(Hour) |
| Course Hours | 14 | 3 | 42 |
| Guided Problem Solving | 14 | 3 | 42 |
| Resolution of Homework Problems and Submission as a Report | 14 | 3 | 42 |
| Term Project | 14 | 2 | 28 |
| Presentation of Project / Seminar | 14 | 1 | 14 |
| Quiz | 0 | 0 | 0 |
| Midterm Exam | 1 | 7 | 7 |
| General Exam | 1 | 14 | 14 |
| Performance Task, Maintenance Plan | 14 | 3 | 42 |
| Total Workload(Hour) | 231 |
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(231/30) | 8 |
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. |
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|
| STATISTICAL METHODS | DÇCD1214731 | Spring Semester | 3+0 | 3 | 8 |
| Course Program | Cuma 10:00-10:45 Cuma 11:00-11:45 Cuma 12:00-12:45 |
| Prerequisites Courses | |
| Recommended Elective Courses | |
| Language of Course | Turkish |
| Course Level | Third Cycle (Doctorate Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Serkan ETİ |
| Name of Lecturer(s) | Assoc.Prof. Serkan ETİ |
| Assistant(s) | |
| Aim | To give advanced information about statistical methods and to create information to use in future research. |
| Course Content | This course contains; Definition of Statistics - Major Phases of Statistical Methodology - Preparation of Graphs and Tables,Descriptors: Measures of Central Tendency - Measures of Diffusion - Measures of Skewness - Measures of Kurtosis,Probability - Probability Distributions - Sampling Distributions: z - t - F - Chi-square,Student-t tests - Mann Whitney U - Wilcoxon Tests,One Way ANOVA - Repeated ANOVA - Kruskal Wallis Test - Friedman Test,Correlation: Pearson - Spearman - Kendall Tau,Simple Linear Regression,Multiple Linear Regression,Logistic Regression,MANOVA,Chi-Square Tests: Pearson - Fisher - G,Roc Curve: Sensitivity -Specificity,Reliability: Cronbach's Alpha - Composite Reliability - ICC,General Review. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| Ability to interpret descriptive statistics | 16, 6, 9 | A |
| Ability to interpret tables and graphics | 12, 6, 9 | A |
| Ability to calculate Descriptive Statistics | 10, 6, 9 | A |
| Ability to interpret normal distribution | 10, 6, 9 | A |
| Create a hypothesis and determine the right method. | 16, 6, 9 | A |
| Ability to calculate the number of samples | 12, 16, 6, 9 | A |
| Can use SPSS | 16, 6, 9 | A |
| Can test our hypotheses | 10, 16, 9 | A |
| Teaching Methods: | 10: Discussion Method, 12: Problem Solving Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam |
Course Outline
| Order | Subjects | Preliminary Work |
|---|
| 1 | Definition of Statistics - Major Phases of Statistical Methodology - Preparation of Graphs and Tables | Source 1 |
| 2 | Descriptors: Measures of Central Tendency - Measures of Diffusion - Measures of Skewness - Measures of Kurtosis | Source 1 |
| 3 | Probability - Probability Distributions - Sampling Distributions: z - t - F - Chi-square | Source 1 |
| 4 | Student-t tests - Mann Whitney U - Wilcoxon Tests | Source 2 |
| 5 | One Way ANOVA - Repeated ANOVA - Kruskal Wallis Test - Friedman Test | Source 2 |
| 6 | Correlation: Pearson - Spearman - Kendall Tau | Source 2 |
| 7 | Simple Linear Regression | Source 2 and Source 3 |
| 8 | Multiple Linear Regression | Source 2 and Source 3 |
| 9 | Logistic Regression | Source 2 and Source 3 |
| 10 | MANOVA | Source 2 and Source 3 |
| 11 | Chi-Square Tests: Pearson - Fisher - G | Source 2 and Source 3 |
| 12 | Roc Curve: Sensitivity -Specificity | Source 3 |
| 13 | Reliability: Cronbach's Alpha - Composite Reliability - ICC | Source 2 |
| 14 | General Review | Lecture Notes |
| Resources |
| 1- Sümbüloğlu, K., Sümbüloğlu, V. (2012). Biyoistatistik, İstanbul: Hatipoğlu Yayınları.
2- Alpar, R. (2011). Çok Değişkenli İstatistiksel Yöntemler, Ankara: Detay Yayıncılık
3- Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007), Using Multivariate Statistics, Boston: Pearson |
| Lecture notes, related Web sites |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications |
| No | Program Qualification | Contribution Level |
| 1 | 2 | 3 | 4 | 5 |
| 1 | Has comprehensive knowledge pertaining basic and advanced oral and maxillofacial surgery. Is aware of basic scientific problems and research topics. Can produce new hypothesis accordingly. Is capable of finding literature and following advancements in the scientific field. | | | | | |
| 2 | | | | | | |
| 3 | | | | | | |
| 4 | | | | | | |
| 5 | | | | | | |
| 6 | | | | | | |
| 7 | | | | | | |
Assessment Methods
| Contribution Level | Absolute Evaluation |
| Rate of Midterm Exam to Success | | 50 |
| Rate of Final Exam to Success | | 50 |
| Total | | 100 |
Numerical Data
Ekleme Tarihi: 27/11/2023 - 03:01Son Güncelleme Tarihi: 27/11/2023 - 03:01
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