Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|
ADVANCED RESEARCH METHODS | SAYD1214048 | Spring Semester | 3+0 | 3 | 8 |
Prerequisites Courses | |
Recommended Elective Courses | |
Language of Course | Turkish |
Course Level | Third Cycle (Doctorate Degree) |
Course Type | Elective |
Course Coordinator | Prof.Dr. Abdulbari BENER |
Name of Lecturer(s) | Prof.Dr. Abdulbari BENER |
Assistant(s) | |
Aim | To demonstrate advanced statistical methods that can be used in scientific research. |
Course Content | This course contains; Introduction to multivariate statistical methods,Multi-eyed chi-square tests,Multiple regression analysis methods,Logistic regression analysis 1,Logistic regression analysis 2,Probit analysis,ROC analysis,One factor analysis of variance in repeated measures,Two-factor analysis of variance in repeated measures,One-way analysis of variance in independent groups,Two-way analysis of variance in independent groups,MANOVA,Survival analysis methods 1,Survival analysis methods 2. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
Interprets statistical results. | 10, 16, 9 | E |
Applies multivariate statistical methods on computer. | 6, 9 | E |
Summarizes multivariate statistical methods. | 16, 9 | E |
Teaching Methods: | 10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
Assessment Methods: | E: Homework |
Course Outline
Order | Subjects | Preliminary Work |
---|
1 | Introduction to multivariate statistical methods | Hair, Joseph F. "Multivariate data analysis: 2018 (p.1-45) |
2 | Multi-eyed chi-square tests | Barton, Belinda, and Jennifer Peat. Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons, 2014. p.249-286 |
3 | Multiple regression analysis methods | J. Hair, p.259-370 |
4 | Logistic regression analysis 1 | J. Hair, p.548-598 |
5 | Logistic regression analysis 2 | J. Hair, p.548-598 |
6 | Probit analysis | J. Hair, p.548-598 |
7 | ROC analysis | Barton and Belinda, p. 331-349 |
8 | One factor analysis of variance in repeated measures | Belinda and Peat p.161-196 |
9 | Two-factor analysis of variance in repeated measures | Belinda and Peat p.161-196 |
10 | One-way analysis of variance in independent groups | Belinda and Peat p.112-160 |
11 | Two-way analysis of variance in independent groups | Belinda and Peat p.112-160 |
12 | MANOVA | J. Hair, p. 371- 468 |
13 | Survival analysis methods 1 | Belinda and Peat p.350-368 |
14 | Survival analysis methods 2 | Belinda and Peat p.350-368 |
Resources |
1. Advanced Statistics, Larry Stephens, McGraw Hill, 2004.
2. Bilgisayar istatistik ve tıp Dr. Murat Hayran, Dr. Oktay Özdemir.
3. Bilimsel araştırmalarda biyoistatistik prensip ve yöntemlerinin bilinçli kullanımı 4. Kadir Sümbüloğlu, Vildan Sümbüloğlu.
5. Paket programlar ile istatistiksel veri analizi Kazım Özdamar 1999-1-2.
6. Sağlık alanına özel istatistiksel yöntemler Kadir Sümbüloğlu.
7. Sağlık Araştırmaları İçin Temel İstatistik, Murat Hayran, Mutlu Hayran.
8. Tıbbi araştırmalarda istatistiksel analiz teknikleri “SPSS uygulamaları” Aziz Akgül.
9. Barton, Belinda, and Jennifer Peat. Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons, 2014.
10. Hair, J. F. (2019). Multivariate data analysis: An overview. 8. edition, |
Örneklendirilmiş Bilimsel Araştırma Yöntemleri
Prof. Dr. Veysel Sönmez, G. Füsun Alacapınar ANI YAYINCILIK |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications |
No | Program Qualification | Contribution Level |
1 | 2 | 3 | 4 | 5 |
1 | 1. S(he) has deep theoretical and applied knowledge about organization, financing, utilization and outcomes of health services and follows the developments. | | | | | |
2 | 2. S(he) develops a new conceptual framework, analyzes the framework and reaches original results by critically assessing the existing health policies from an interdisciplinary perspective. | | | | | |
3 | 3. S(he) gains the advanced level skills in health services research methods. | | | | | |
4 | 4. S(he) can develop a new scientific method for an issue in the field of health management or apply a known method to a different matter. | | | | | |
5 | 5. S(he) can critically analyze and synthesize an original topic related to the field of health management. | | | | | |
6 | 6. s(he) contributes to the state of the art by independently carrying out an original research on a subject in the field of health management that is either an innovative idea or a new method or an application of a known method to a different matter. | | | | | |
7 | 7. S(he) expands the boundary of knowledge in the field of health management through publications in nationally or internationally recognized journals. | | | | | |
8 | 8. S(he) leads the groups engaged in solution of original and interdisciplinary matters of health management. | | | | | |
9 | 9. S(he) develops a new idea and/or method, with innovative and critical thinking skills. | | | | | |
10 | 10. S(he) shares his/her original opinions and suggestions verbally and in writing about a subject s(he) produced in the field of health management in a variety of arenas. | | | | | |
11 | 11. S(he) communicates verbally and in writing in a foreign language at least at the European Language Portfolio C1 Level. | | | | | |
12 | 12. S(he) contributes to the coursework of informing society of political, economic, technological, social, demographic, and cultural events pertinent to health management. | | | | | |
13 | 13. S(he) produces solutions or supports the relevant process to the problems of societal, scientific, and ethical. | | | | | |
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 | 2 | 28 |
Guided Problem Solving | 4 | 4 | 16 |
Resolution of Homework Problems and Submission as a Report | 2 | 48 | 96 |
Term Project | 4 | 6 | 24 |
Presentation of Project / Seminar | 3 | 4 | 12 |
Quiz | 5 | 2 | 10 |
Midterm Exam | 1 | 20 | 20 |
General Exam | 1 | 20 | 20 |
Performance Task, Maintenance Plan | 1 | 10 | 10 |
Total Workload(Hour) | 236 |
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(236/30) | 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 |
---|
ADVANCED RESEARCH METHODS | SAYD1214048 | Spring Semester | 3+0 | 3 | 8 |
Prerequisites Courses | |
Recommended Elective Courses | |
Language of Course | Turkish |
Course Level | Third Cycle (Doctorate Degree) |
Course Type | Elective |
Course Coordinator | Prof.Dr. Abdulbari BENER |
Name of Lecturer(s) | Prof.Dr. Abdulbari BENER |
Assistant(s) | |
Aim | To demonstrate advanced statistical methods that can be used in scientific research. |
Course Content | This course contains; Introduction to multivariate statistical methods,Multi-eyed chi-square tests,Multiple regression analysis methods,Logistic regression analysis 1,Logistic regression analysis 2,Probit analysis,ROC analysis,One factor analysis of variance in repeated measures,Two-factor analysis of variance in repeated measures,One-way analysis of variance in independent groups,Two-way analysis of variance in independent groups,MANOVA,Survival analysis methods 1,Survival analysis methods 2. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
Interprets statistical results. | 10, 16, 9 | E |
Applies multivariate statistical methods on computer. | 6, 9 | E |
Summarizes multivariate statistical methods. | 16, 9 | E |
Teaching Methods: | 10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method |
Assessment Methods: | E: Homework |
Course Outline
Order | Subjects | Preliminary Work |
---|
1 | Introduction to multivariate statistical methods | Hair, Joseph F. "Multivariate data analysis: 2018 (p.1-45) |
2 | Multi-eyed chi-square tests | Barton, Belinda, and Jennifer Peat. Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons, 2014. p.249-286 |
3 | Multiple regression analysis methods | J. Hair, p.259-370 |
4 | Logistic regression analysis 1 | J. Hair, p.548-598 |
5 | Logistic regression analysis 2 | J. Hair, p.548-598 |
6 | Probit analysis | J. Hair, p.548-598 |
7 | ROC analysis | Barton and Belinda, p. 331-349 |
8 | One factor analysis of variance in repeated measures | Belinda and Peat p.161-196 |
9 | Two-factor analysis of variance in repeated measures | Belinda and Peat p.161-196 |
10 | One-way analysis of variance in independent groups | Belinda and Peat p.112-160 |
11 | Two-way analysis of variance in independent groups | Belinda and Peat p.112-160 |
12 | MANOVA | J. Hair, p. 371- 468 |
13 | Survival analysis methods 1 | Belinda and Peat p.350-368 |
14 | Survival analysis methods 2 | Belinda and Peat p.350-368 |
Resources |
1. Advanced Statistics, Larry Stephens, McGraw Hill, 2004.
2. Bilgisayar istatistik ve tıp Dr. Murat Hayran, Dr. Oktay Özdemir.
3. Bilimsel araştırmalarda biyoistatistik prensip ve yöntemlerinin bilinçli kullanımı 4. Kadir Sümbüloğlu, Vildan Sümbüloğlu.
5. Paket programlar ile istatistiksel veri analizi Kazım Özdamar 1999-1-2.
6. Sağlık alanına özel istatistiksel yöntemler Kadir Sümbüloğlu.
7. Sağlık Araştırmaları İçin Temel İstatistik, Murat Hayran, Mutlu Hayran.
8. Tıbbi araştırmalarda istatistiksel analiz teknikleri “SPSS uygulamaları” Aziz Akgül.
9. Barton, Belinda, and Jennifer Peat. Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons, 2014.
10. Hair, J. F. (2019). Multivariate data analysis: An overview. 8. edition, |
Örneklendirilmiş Bilimsel Araştırma Yöntemleri
Prof. Dr. Veysel Sönmez, G. Füsun Alacapınar ANI YAYINCILIK |
Course Contribution to Program Qualifications
Course Contribution to Program Qualifications |
No | Program Qualification | Contribution Level |
1 | 2 | 3 | 4 | 5 |
1 | 1. S(he) has deep theoretical and applied knowledge about organization, financing, utilization and outcomes of health services and follows the developments. | | | | | |
2 | 2. S(he) develops a new conceptual framework, analyzes the framework and reaches original results by critically assessing the existing health policies from an interdisciplinary perspective. | | | | | |
3 | 3. S(he) gains the advanced level skills in health services research methods. | | | | | |
4 | 4. S(he) can develop a new scientific method for an issue in the field of health management or apply a known method to a different matter. | | | | | |
5 | 5. S(he) can critically analyze and synthesize an original topic related to the field of health management. | | | | | |
6 | 6. s(he) contributes to the state of the art by independently carrying out an original research on a subject in the field of health management that is either an innovative idea or a new method or an application of a known method to a different matter. | | | | | |
7 | 7. S(he) expands the boundary of knowledge in the field of health management through publications in nationally or internationally recognized journals. | | | | | |
8 | 8. S(he) leads the groups engaged in solution of original and interdisciplinary matters of health management. | | | | | |
9 | 9. S(he) develops a new idea and/or method, with innovative and critical thinking skills. | | | | | |
10 | 10. S(he) shares his/her original opinions and suggestions verbally and in writing about a subject s(he) produced in the field of health management in a variety of arenas. | | | | | |
11 | 11. S(he) communicates verbally and in writing in a foreign language at least at the European Language Portfolio C1 Level. | | | | | |
12 | 12. S(he) contributes to the coursework of informing society of political, economic, technological, social, demographic, and cultural events pertinent to health management. | | | | | |
13 | 13. S(he) produces solutions or supports the relevant process to the problems of societal, scientific, and ethical. | | | | | |
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 - 22:13Son Güncelleme Tarihi: 27/11/2023 - 22:13
×- A-Z Programs
- Undergraduate
- Graduate
- Academic Calendar
- Double Major & Minor Programs
- Erasmus
- Prospective Students
- Registration
- Re-Enrolment
- Fees
- Directorate of Registrar’s Office
- FAQ
- Accommodation
- Scholarships
- Lateral and Vertical Transfer
- Summer School
- Preparation
- Transportation