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Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
ADVANCED RESEARCH METHODSBESD1214048Spring Semester3+038
Course Program

Pazartesi 14:30-15:15

Pazartesi 15:30-16:15

Pazartesi 16:30-17:15

Perşembe 14:30-15:15

Perşembe 15:30-16:15

Perşembe 16:30-17:15

Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelThird Cycle (Doctorate Degree)
Course TypeElective
Course CoordinatorProf.Dr. Abdulbari BENER
Name of Lecturer(s)Prof.Dr. Abdulbari BENER
Assistant(s)
AimTo demonstrate advanced statistical methods that can be used in scientific research.
Course ContentThis 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 KazanımlarıTeaching MethodsAssessment Methods
Interprets statistical results.10, 16, 9E
Applies multivariate statistical methods on computer.6, 9E
Summarizes multivariate statistical methods.16, 9E
Teaching Methods:10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:E: Homework

Course Outline

OrderSubjectsPreliminary Work
1Introduction to multivariate statistical methodsHair, Joseph F. "Multivariate data analysis: 2018 (p.1-45)
2Multi-eyed chi-square testsBarton, Belinda, and Jennifer Peat. Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons, 2014. p.249-286
3Multiple regression analysis methodsJ. Hair, p.259-370
4Logistic regression analysis 1J. Hair, p.548-598
5Logistic regression analysis 2J. Hair, p.548-598
6Probit analysisJ. Hair, p.548-598
7ROC analysisBarton and Belinda, p. 331-349
8One factor analysis of variance in repeated measuresBelinda and Peat p.161-196
9Two-factor analysis of variance in repeated measuresBelinda and Peat p.161-196
10One-way analysis of variance in independent groupsBelinda and Peat p.112-160
11Two-way analysis of variance in independent groupsBelinda and Peat p.112-160
12MANOVAJ. Hair, p. 371- 468
13Survival analysis methods 1Belinda and Peat p.350-368
14Survival analysis methods 2Belinda 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
NoProgram QualificationContribution Level
12345
1
They have basic knowledge in the field of Nutrition and Dietetics.
2
Use vocational knowledge and skills for the development of health at individual and community level, for the prevention and treatment of diseases.
3
Provide training and counseling in the field of nutrition and dietetics including individuals, families and organizations.
4
Carries out independent research on the field using knowledge accumulation, and takes part in research, projects and events in collaboration with the health team and other disciplines.
5
Conducts profession in accordance with scientific researches, evidence, developing technology, current literature and health policies.
6
Carry out its professional practices in line with ethical principles and standards. His behavior becomes an example to colleagues and public.
7
Uses at least one foreign language to reach, evaluate and use it for professional development.
8
Use critical thinking, problem solving and decision making skills in the field of nutrition and dietetics.
9
Communicates effectively both verbally and written in occupational field.
10
They have general cultural knowledge that profession requires.
11
Develop positive attitudes toward lifelong learning and turn them into behavior.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14228
Guided Problem Solving4416
Resolution of Homework Problems and Submission as a Report24896
Term Project4624
Presentation of Project / Seminar3412
Quiz5210
Midterm Exam12020
General Exam12020
Performance Task, Maintenance Plan11010
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

CourseCodeSemesterT+P (Hour)CreditECTS
ADVANCED RESEARCH METHODSBESD1214048Spring Semester3+038
Course Program

Pazartesi 14:30-15:15

Pazartesi 15:30-16:15

Pazartesi 16:30-17:15

Perşembe 14:30-15:15

Perşembe 15:30-16:15

Perşembe 16:30-17:15

Prerequisites Courses
Recommended Elective Courses
Language of CourseTurkish
Course LevelThird Cycle (Doctorate Degree)
Course TypeElective
Course CoordinatorProf.Dr. Abdulbari BENER
Name of Lecturer(s)Prof.Dr. Abdulbari BENER
Assistant(s)
AimTo demonstrate advanced statistical methods that can be used in scientific research.
Course ContentThis 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 KazanımlarıTeaching MethodsAssessment Methods
Interprets statistical results.10, 16, 9E
Applies multivariate statistical methods on computer.6, 9E
Summarizes multivariate statistical methods.16, 9E
Teaching Methods:10: Discussion Method, 16: Question - Answer Technique, 6: Experiential Learning, 9: Lecture Method
Assessment Methods:E: Homework

Course Outline

OrderSubjectsPreliminary Work
1Introduction to multivariate statistical methodsHair, Joseph F. "Multivariate data analysis: 2018 (p.1-45)
2Multi-eyed chi-square testsBarton, Belinda, and Jennifer Peat. Medical statistics: A guide to SPSS, data analysis and critical appraisal. John Wiley & Sons, 2014. p.249-286
3Multiple regression analysis methodsJ. Hair, p.259-370
4Logistic regression analysis 1J. Hair, p.548-598
5Logistic regression analysis 2J. Hair, p.548-598
6Probit analysisJ. Hair, p.548-598
7ROC analysisBarton and Belinda, p. 331-349
8One factor analysis of variance in repeated measuresBelinda and Peat p.161-196
9Two-factor analysis of variance in repeated measuresBelinda and Peat p.161-196
10One-way analysis of variance in independent groupsBelinda and Peat p.112-160
11Two-way analysis of variance in independent groupsBelinda and Peat p.112-160
12MANOVAJ. Hair, p. 371- 468
13Survival analysis methods 1Belinda and Peat p.350-368
14Survival analysis methods 2Belinda 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
NoProgram QualificationContribution Level
12345
1
They have basic knowledge in the field of Nutrition and Dietetics.
2
Use vocational knowledge and skills for the development of health at individual and community level, for the prevention and treatment of diseases.
3
Provide training and counseling in the field of nutrition and dietetics including individuals, families and organizations.
4
Carries out independent research on the field using knowledge accumulation, and takes part in research, projects and events in collaboration with the health team and other disciplines.
5
Conducts profession in accordance with scientific researches, evidence, developing technology, current literature and health policies.
6
Carry out its professional practices in line with ethical principles and standards. His behavior becomes an example to colleagues and public.
7
Uses at least one foreign language to reach, evaluate and use it for professional development.
8
Use critical thinking, problem solving and decision making skills in the field of nutrition and dietetics.
9
Communicates effectively both verbally and written in occupational field.
10
They have general cultural knowledge that profession requires.
11
Develop positive attitudes toward lifelong learning and turn them into behavior.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 27/11/2023 - 02:08Son Güncelleme Tarihi: 27/11/2023 - 02:09