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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Research Methods HUI108 Compulsory Master's degree 1 Spring 6

Name of Lecturer(s)

Associate Prof. Dr. Ejder AYÇİN
Assistant Prof. Dr. Hale BÜTÜN BAYRAM

Learning Outcomes of the Course Unit

1) know basic principles of scientific research
2) know process of scientific research
3) Know research methods and search literature
4) analyze research database and present results of research with scientific writing techniques

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9
Learning Outcomes
1 Middle Middle Low No relation No relation No relation No relation No relation No relation
2 No relation No relation No relation No relation No relation No relation No relation No relation No relation
3 No relation No relation No relation No relation No relation No relation No relation No relation No relation
4 No relation No relation No relation No relation No relation No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

A

Course Contents

Understanding the General Structure of the Scientific Research Method, Definition of the Research Subject and Research Problem, Literature Review, Determining the Research Variables, Creating the Model, Determining the Population and Sample, Testing the Validity and Reliability, Data Sources in the Research Method, Introducing the Menus in the SPSS Program and Learning their Functions, Statistical Data Analysis with SPSS: Descriptive Statistics, Comparing Means, Correlation and Regression Analysis, Reliability Analysis, Factor Analysis, Non Parametric Tests, Writing Research Report

Weekly Schedule

1) Scientific Research Methods: Basic Concepts
2) Definition of Research Topic and Problem, Literature Review
3) Determination of Research Variables and Research Model
4) Determining the Population and the Sample of Research
5) Data and Data Resources in Research Methodology
6) Introduction to SPSS Program
7) SPSS Program: Data and Transform Menu Operations
8) Mid-Term Exam
9) Data Analysis with SPSS: Descriptive Statistics
10) Data Analysis with SPSS: Parametric Tests
11) Data Analysis with SPSS: Parametric Tests
12) Data Analysis with SPSS: Correlation and Regression Analysis
13) Data Analysis with SPSS: Reliability Analysis, Factor Analysis, Non-Parametric Tests
14) Writing Research Report
15) Final Exam
16) Final Exam

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

1) Lecture
2) Lecture
3) Question-Answer
4) Question-Answer
5) Drill and Practice
6) Case Study
7) Self Study
8) Self Study


Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

40%

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required