Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|---|---|---|---|---|
SAMPLING METHODS | - | Fall Semester | 3+0 | 3 | 8 |
Course Program |
Prerequisites Courses | |
Recommended Elective Courses |
Language of Course | English |
Course Level | Second Cycle (Master's Degree) |
Course Type | Elective |
Course Coordinator | Prof.Dr. Abdulbari BENER |
Name of Lecturer(s) | Prof.Dr. Abdulbari BENER |
Assistant(s) | |
Aim | Estimation of population parameters(mean, median, variance) by original methods after selection of a sample represented population and obtaining of mean square errors of these estimations with various methods. Comparison of the Estimations Learning of computer-based methods for obtaining variance |
Course Content | This course contains; Ratio Estimators ,Various Variance Estimation Methods in Complex Sampling Schemes,Various Variance Estimation Methods in Complex Sampling Schemes-2,Chain Ratio Estimators ,Ranked Set Sampling,Ratio Estimators in Stratified Random Sampling,Statistics package program application-1,Statistics package program application-2,Statistics package program application-3,Scientific Research Article Analysis,Scientific Research Article Analysis-2,Article Presentation,Article Presentation,Article Presentation. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
2-Obtains the mean square error of the original estimates | 12, 14, 9 | E |
1-Makes original estimation from the sample selected by various sampling methods needed to do research | 12, 14, 16, 6, 9 | A, E |
3-Compares the estimates | 12, 14, 9 | A, E |
4-Learns the variance obtain methods based on computer which would need in theses related to statistics | 12, 14, 16, 3, 6, 9 | A, E |
Teaching Methods: | 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 3: Problem Baded Learning Model, 6: Experiential Learning, 9: Lecture Method |
Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
Order | Subjects | Preliminary Work |
---|---|---|
1 | Ratio Estimators | Related titles in Textbooks |
2 | Various Variance Estimation Methods in Complex Sampling Schemes | Related titles in Textbooks |
3 | Various Variance Estimation Methods in Complex Sampling Schemes-2 | Related titles in Textbooks |
4 | Chain Ratio Estimators | Related titles in Textbooks |
5 | Ranked Set Sampling | Related titles in Textbooks |
6 | Ratio Estimators in Stratified Random Sampling | Related titles in Textbooks |
7 | Statistics package program application-1 | Related titles in Textbooks |
8 | Statistics package program application-2 | Lecture Notes |
9 | Statistics package program application-3 | Lecture Notes |
10 | Scientific Research Article Analysis | Lecture Notes |
11 | Scientific Research Article Analysis-2 | Lecture Notes |
12 | Article Presentation | Lecture Notes |
13 | Article Presentation | Lecture Notes |
14 | Article Presentation | Lecture Notes |
Resources |
1. Çıngı,H. (2009). Örnekleme Kuramı. Üçüncü Baskı. Bizim Büro Basımevi, Ankara, Türkiye. 2. Cochran, W.G.,(1977). Sampling Techniques. Third Ed. John Wiley and Sons. USA 3. Çıngı H.; Kadılar, C., (2009), Advences in Sampling Theory-Ratio Method of Estimation., Bentham Science Publishers, eISBN: 978-1-60805-012-3.e-book. 4. Wolter, KM (1985), Introduction to Variance Estimation, Springer-Verlag. |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications | |||||||
No | Program Qualification | Contribution Level | |||||
1 | 2 | 3 | 4 | 5 | |||
1 | Can use advanced theoretical and applied knowledge gained in the fields of theoretical and applied biostatistics. | X | |||||
2 | Can use the knowledge of basic probability and statistics theories and applications at the level of expertise. | X | |||||
3 | They have knowledge of all kinds of research design in the field of health | X | |||||
4 | Can design, construct and propose solutions for research in the field of health. | X | |||||
5 | Can identify and analyze problems in health research and produce solutions based on scientific methods | X | |||||
6 | Conducts scientific clinical descriptive or analytical research on priority issues related to the field. | X | |||||
7 | Evaluate and explain the information about the field of biostatistics with a critical approach. | X | |||||
8 | Observes and teaches social, scientific, and ethical values in the stages of data collection, recording, interpretation, and reporting related to the field of biostatistics. | X | |||||
9 | To be familiar with the software commonly used in the fields of biostatistics and to be able to use at least one effectively | X | |||||
10 | Conducts studies in the field of biostatistics independently or as a team. | X | |||||
11 | Maintains work in the field of biostatistics individually or as a team, can participate in the decision-making process, and make and finalize the necessary planning by using time effectively. | X | |||||
12 | Ensure the continuity of her professional development by using the biostatistics field and lifelong learning principles. | X | |||||
13 | Publishes a scientific article in a national and international journal or presents it at a scientific meeting. | X | |||||
14 | Take part in research, projects and activities in collaboration with other disciplines in the field of health. | X | |||||
15 | A sensitive individual, they can use their knowledge for the benefit of society and have sufficient awareness about quality management, occupational safety, and environment in all processes. | X | |||||
16 | Can use the knowledge and problem-solving skills synthesized in the field of biostatistics by considering ethical principles in health research. | X | |||||
17 | It can be found in national and international policy studies in the field of biostatistics and education. | X |
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 | 0 | 0 | 0 | |||
Guided Problem Solving | 0 | 0 | 0 | |||
Resolution of Homework Problems and Submission as a Report | 0 | 0 | 0 | |||
Term Project | 0 | 0 | 0 | |||
Presentation of Project / Seminar | 0 | 0 | 0 | |||
Quiz | 0 | 0 | 0 | |||
Midterm Exam | 0 | 0 | 0 | |||
General Exam | 0 | 0 | 0 | |||
Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
Total Workload(Hour) | 0 | |||||
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(0/30) | 0 | |||||
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 |
---|---|---|---|---|---|
SAMPLING METHODS | - | Fall Semester | 3+0 | 3 | 8 |
Course Program |
Prerequisites Courses | |
Recommended Elective Courses |
Language of Course | English |
Course Level | Second Cycle (Master's Degree) |
Course Type | Elective |
Course Coordinator | Prof.Dr. Abdulbari BENER |
Name of Lecturer(s) | Prof.Dr. Abdulbari BENER |
Assistant(s) | |
Aim | Estimation of population parameters(mean, median, variance) by original methods after selection of a sample represented population and obtaining of mean square errors of these estimations with various methods. Comparison of the Estimations Learning of computer-based methods for obtaining variance |
Course Content | This course contains; Ratio Estimators ,Various Variance Estimation Methods in Complex Sampling Schemes,Various Variance Estimation Methods in Complex Sampling Schemes-2,Chain Ratio Estimators ,Ranked Set Sampling,Ratio Estimators in Stratified Random Sampling,Statistics package program application-1,Statistics package program application-2,Statistics package program application-3,Scientific Research Article Analysis,Scientific Research Article Analysis-2,Article Presentation,Article Presentation,Article Presentation. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
2-Obtains the mean square error of the original estimates | 12, 14, 9 | E |
1-Makes original estimation from the sample selected by various sampling methods needed to do research | 12, 14, 16, 6, 9 | A, E |
3-Compares the estimates | 12, 14, 9 | A, E |
4-Learns the variance obtain methods based on computer which would need in theses related to statistics | 12, 14, 16, 3, 6, 9 | A, E |
Teaching Methods: | 12: Problem Solving Method, 14: Self Study Method, 16: Question - Answer Technique, 3: Problem Baded Learning Model, 6: Experiential Learning, 9: Lecture Method |
Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
Order | Subjects | Preliminary Work |
---|---|---|
1 | Ratio Estimators | Related titles in Textbooks |
2 | Various Variance Estimation Methods in Complex Sampling Schemes | Related titles in Textbooks |
3 | Various Variance Estimation Methods in Complex Sampling Schemes-2 | Related titles in Textbooks |
4 | Chain Ratio Estimators | Related titles in Textbooks |
5 | Ranked Set Sampling | Related titles in Textbooks |
6 | Ratio Estimators in Stratified Random Sampling | Related titles in Textbooks |
7 | Statistics package program application-1 | Related titles in Textbooks |
8 | Statistics package program application-2 | Lecture Notes |
9 | Statistics package program application-3 | Lecture Notes |
10 | Scientific Research Article Analysis | Lecture Notes |
11 | Scientific Research Article Analysis-2 | Lecture Notes |
12 | Article Presentation | Lecture Notes |
13 | Article Presentation | Lecture Notes |
14 | Article Presentation | Lecture Notes |
Resources |
1. Çıngı,H. (2009). Örnekleme Kuramı. Üçüncü Baskı. Bizim Büro Basımevi, Ankara, Türkiye. 2. Cochran, W.G.,(1977). Sampling Techniques. Third Ed. John Wiley and Sons. USA 3. Çıngı H.; Kadılar, C., (2009), Advences in Sampling Theory-Ratio Method of Estimation., Bentham Science Publishers, eISBN: 978-1-60805-012-3.e-book. 4. Wolter, KM (1985), Introduction to Variance Estimation, Springer-Verlag. |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications | |||||||
No | Program Qualification | Contribution Level | |||||
1 | 2 | 3 | 4 | 5 | |||
1 | Can use advanced theoretical and applied knowledge gained in the fields of theoretical and applied biostatistics. | X | |||||
2 | Can use the knowledge of basic probability and statistics theories and applications at the level of expertise. | X | |||||
3 | They have knowledge of all kinds of research design in the field of health | X | |||||
4 | Can design, construct and propose solutions for research in the field of health. | X | |||||
5 | Can identify and analyze problems in health research and produce solutions based on scientific methods | X | |||||
6 | Conducts scientific clinical descriptive or analytical research on priority issues related to the field. | X | |||||
7 | Evaluate and explain the information about the field of biostatistics with a critical approach. | X | |||||
8 | Observes and teaches social, scientific, and ethical values in the stages of data collection, recording, interpretation, and reporting related to the field of biostatistics. | X | |||||
9 | To be familiar with the software commonly used in the fields of biostatistics and to be able to use at least one effectively | X | |||||
10 | Conducts studies in the field of biostatistics independently or as a team. | X | |||||
11 | Maintains work in the field of biostatistics individually or as a team, can participate in the decision-making process, and make and finalize the necessary planning by using time effectively. | X | |||||
12 | Ensure the continuity of her professional development by using the biostatistics field and lifelong learning principles. | X | |||||
13 | Publishes a scientific article in a national and international journal or presents it at a scientific meeting. | X | |||||
14 | Take part in research, projects and activities in collaboration with other disciplines in the field of health. | X | |||||
15 | A sensitive individual, they can use their knowledge for the benefit of society and have sufficient awareness about quality management, occupational safety, and environment in all processes. | X | |||||
16 | Can use the knowledge and problem-solving skills synthesized in the field of biostatistics by considering ethical principles in health research. | X | |||||
17 | It can be found in national and international policy studies in the field of biostatistics and education. | X |
Assessment Methods
Contribution Level | Absolute Evaluation | |
Rate of Midterm Exam to Success | 50 | |
Rate of Final Exam to Success | 50 | |
Total | 100 |