BÄ°S604 - RESEARCH METHODS IN HEALTH SCIENCES

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
RESEARCH METHODS IN HEALTH SCIENCES BÄ°S604 1st Semester 2 2 3 7
PrequisitesHaving succesfully completed the course of BIS 605 or BIS 735
Course languageTurkish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Preparing and/or Presenting Reports
 
Instructor (s)PROF. ERDEM KARABULUT , PhD - ASSOC. PROF. JALE KARAKAYA KARABULUT , PhD 
Course objectiveBasic knowledge on research planning, stages of a research and research ethics are taught to the students in order to prepare them for carrying out a research. 
Learning outcomes
  1. Students can; determine the research type according to the goal of the study,
  2. define the statistical hypothesis of the study,
  3. decide the proper statistical methods for the hypothesis,
  4. perform the appropriate statistical methods,
  5. write the research report.
  6. Describe concepts related to research and publication ethics and responsibilities of researcher for ethically appropriate researches and publications.
Course Content1. Research planning,
2. Possible sources of error in researches,
3. Sampling and sampling methods,
4. Types of research design,
5. Research constructing,
6. Analysis and interpretation of research data,
7. Writing research report,
8. Concept of research ethics,
9. Frequently encountered research ethics problems and prevention methods. 
References1. Health Research Methodology, A Guide for Training in Research Methods, World Health Organization, 2001
2. Sümbüloğlu Vildan, Sümbüloğlu Kadir. Sağlık Bilimlerinde Araştırma Yöntemleri Ankara 2013
3. Sümbüloğlu Vildan, Sümbüloğlu Kadir. Klinik ve Saha Araştırmalarında Örnekleme Yöntemleri ve Örneklem Büyüklüğü, Ankara 2005
4. Özdamar Kazım. Modern Bilimsel Araştırma Yöntemleri, Ankara 2013
5. The Ethics of Research Involving Human Subjects, Editor: Vanderpool HY, 1996, University publishing Group, Inc. USA. 

Course outline weekly

WeeksTopics
Week 1Introduction to Research
Week 2Introduction to Research Planning
Week 3Determine of the topic, Searching literature
Week 4Determination of goals and hypothesis
Week 5Determination of Variables and Measurement methods, Stating the Statistical Hypothesis
Week 6Calculation of Sample Size
Week 7Common Research Types
Week 8Data Collecting Methods
Week 9Evaluation
Week 10Reporting
Week 11Concept of research ethics, scientific and ethical methods in research, fundamental principles of research ethics
Week 12Ethical issues in research; Laboratory research, animal research, surveys, epidemiological studies, clinical research, non-interventional clinical researches
Week 13Research and article criticism (review), Student Presentations
Week 14Research and article criticism (review), Student Presentations
Week 15Research and article criticism (review), Student Presentations
Week 16Research and article criticism (review), Student Presentations

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments550
Presentation150
Project00
Seminar00
Midterms00
Final exam00
Total100
Percentage of semester activities contributing grade succes6100
Percentage of final exam contributing grade succes00
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 2 28
Laboratory 0 0 0
Application14228
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14570
Presentation / Seminar Preparation12828
Project000
Homework assignment41456
Midterms (Study duration)000
Final Exam (Study duration) 000
Total Workload4751210

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. A specialist with a graduate diploma in biostatistics: Has the knowledge to lead research planning, execution, and finalization, staying updated on literature and current studies.  X   
2. Critically evaluates studies and scientific papers in presentations, courses, seminars, and conferences, encouraging a critical perspective.    X
3. Has the sufficient theoretical and practical knowledge of statistics to determine the appropriate statistical analysis and to grasp the results correctly.  X  
4. Be proficient in computer use and statistical software, ensuring data suitability and recommending solutions for data management and analysis methods.  X   
5. Effectively communicates analysis issues through active participation in discussions, exchanging information with the advisor, and presenting seminars.    X
6. Provides method suggestions in consultancy, does research planning, prepares research reports.    X
7. Maintains scientific accuracy and ethical values, remaining careful against any conscious or unconscious biases throughout the study.    X
8. Supports a counseling service under faculty supervision, may handle independent projects, and participates in conferences, presenting papers or posters with the academic advisor.   X 
9. Be ready for multidisciplinary studies, collaborating professionally in group settings and gains the ability to assign individuals in the group. X   
10. Integrates diverse disciplines to analyze and synthesize information, offering solutions. X   

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest