Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|
STATISTICAL METHODS | PDTD1214731 | 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 | | | | | | |
2 | | | | | | |
3 | | | | | | |
4 | | | | | | |
5 | | | | | | |
6 | | | | | | |
7 | | | | | | |
8 | | | | | | |
9 | | | | | | |
10 | | | | | | |
11 | | | | | | |
12 | | | | | | |
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 | PDTD1214731 | 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 | | | | | | |
2 | | | | | | |
3 | | | | | | |
4 | | | | | | |
5 | | | | | | |
6 | | | | | | |
7 | | | | | | |
8 | | | | | | |
9 | | | | | | |
10 | | | | | | |
11 | | | | | | |
12 | | | | | | |
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 - 03:23Son Güncelleme Tarihi: 27/11/2023 - 03:23
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