Information Package / Course Catalogue
Evaluation of Research Results and Preparation For a Scientific Article
 Course Code : KHÜ522 Course Type : Area Elective Couse Group : Second Cycle (Master's Degree) Education Language : Turkish Work Placement : N/A
 Theory : 2 Prt. : 2 Credit : 3 Lab : 0 ECTS : 8
Objectives of the Course

The main objective of this course is to define data types, data collection methods, table and graphical presentation of data, theoretical distributions, distribution criteria, data analysis (descriptive and analytical analysis, parametric, nonparametric methods, correlation, regression analysis, multivariate analysis methods) The aim of this course is to make students aware of data presentation and evaluation.

Course Content

In this course, data definition, types, data collection methods, table and graphical presentation of data, theoretical distributions, distribution criteria, data analysis (descriptive and analytical analysis, parametric, nonparametric methods, correlation, regression analysis, multivariate analysis methods) data in research presentation and evaluation.

Name of Lecturer(s)
 Prof. Filiz ABACIGİL
Learning Outcomes
 1 Have information about data definition, types, data collection methods 2 Present the data in tables and graphs 3 Have knowledge about theoretical distributions and distribution criteria 4 Have an idea about data analysis (descriptive and analytical analysis, parametric, nonparametric methods, correlation, regression analysis, multivariate analysis methods) 5 Gains knowledge of data presentation and evaluation in research.
 1 Prof.Dr. Gazanfer Aksakoğlu, Sağlıkta araştırma ve çözümleme, D.E.Ü. Rektörlük Basımevi, İzmir, 2006.
Weekly Detailed Course Contents
Week 1 - Theoretical
Data definition, types, classification, data sources
Week 2 - Theoretical
Central distribution criteria (criteria indicating location)
Week 3 - Theoretical
Week 4 - Theoretical
Presentation of data with tables and graphics
Week 5 - Theoretical
Theoretical distributions
Week 6 - Theoretical
Statistical programs used in data analysis
Week 7 - Intermediate Exam
Mid-term exam
Week 8 - Theoretical
Significance tests 1 (parametric methods)
Week 9 - Theoretical
Significance tests 2 (nonparametric methods)
Week 10 - Theoretical
Correlation, regression analysis
Week 11 - Theoretical
Multivariate analysis methods 1
Week 12 - Theoretical
Multivariate analysis methods 2
Week 13 - Theoretical
Presentation and evaluation of research data
Week 14 - Theoretical
Analyzing data on samples
Week 15 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%20
Final Examination1%60
Assignment1%20