Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
ADVANCED RESEARCH METHODS 27401852 1 + 0 1.0 2.0

Prerequisites None

Language of Instruction English
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors Derya GÖKMEN
Assistants
Goals To train experts with knowledge, skills and attitudes that can design and interpret the researches in health sciences
Course Content Scientific Methods and Stages, Data, Characteristics of Data and General Principles of Data Collection, Investigation of Causal Relationship Between Variables, Measurement Processes and Scales, Planning and Stages of Research, Error Sources in Research, Sampling and Sampling Methods and Determination of Sample Size, Questionnaire Method and Questionnaire Application Types Basic Principles and Experimental Structures in Experimental Planning, Use of Research Methods in Epidemiology, Source Screening Methods, Report Writing Methods.
Learning Outcomes 1) List the stages of scientific research
2) Classify scientific research methods.
3) Explains the general principles of data collection
4) Explain the types of observational work
5) Classify experimental research types.
6) Classify methods of methodological research.
7) Explains the basic principles of meta-analysis and systematic review.
8) Designs sample questionnaire using survey preparation techniques.
9) Explain the statistical measures and reporting techniques appropriate to the research method.
10) List the sources of error in research.
11) Demonstrate the use of research methods in epidemiology.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Scientific Methods and Phases Lecture; Question Answer; Discussion; Case Study

Homework
2. Week Data, Characteristics of Data and General Principles of Data Collection Lecture; Question Answer; Discussion; Case Study

Homework
3. Week Investigation of causal relationship between variables Lecture; Question Answer; Discussion; Case Study

Homework
4. Week Measurement Operations and Scales Lecture; Question Answer; Discussion; Case Study

Homework
5. Week Error Sources in Research Lecture; Question Answer; Discussion; Case Study

Homework
6. Week Planning and Stages of Research Lecture; Question Answer; Discussion; Case Study

Homework
7. Week Research Types Lecture; Question Answer; Discussion; Case Study

Homework
8. Week Sampling and Sampling Methods and Determination of Sample Size Lecture; Question Answer; Discussion; Case Study

Homework
9. Week Survey Method and Survey Application Types Lecture; Question Answer; Discussion; Case Study

Homework
10. Week Basic Principles of Experimental Planning and Experiments Lecture; Question Answer; Discussion; Case Study

Homework
11. Week The Use of Research Methods in Epidemiology Lecture; Question Answer; Discussion; Case Study

Homework
12. Week Research Methods Lecture; Question Answer; Discussion; Case Study

Homework
13. Week Preparation of Data for Analysis Lecture; Question Answer; Discussion; Case Study

Homework
14. Week Presentation Lecture

Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Akgül, A.(2003): Tıbbi Araştırmalarda İstatistiksel Analiz Teknikleri “SPSS Uygulamaları, Emek Ofset Ltd.Şti., Ankara
Armitage, P., Colton, T. (1998): Encylopedia of Biostatistics, Wiley, İngiltere
Brodie, D.A., Williams, J.G., Owens, R.G.(1994): Research Methods for the Health Sciences, Harwood Academic Pub
Minichiello,V., Sullivan, G., Greenwood, K., Axford, R.(1999): Handbook for Research Methods in Health Sciences, Marketing Department Humanities & Sciences Unit Pearson Education, Australia
Sümbüloğlu, K., Sümbüloğlu, V. (1988): Sağlık Bilimlerinde Araştırma Yöntemleri, Hatiboğlu Yayınevi, Ankara

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5DK6DK7DK8DK9DK10DK11
PY1500000000000
PY2500000000000
PY3500000000000
PY4500000000000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 1
Work Hour outside Classroom (Preparation, strengthening) 14 2
Homework 2 4
Presentation (Including Preparation Time) 1 10
Final Exam 1 1
Time to prepare for Final Exam 1 10
1 1
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information