GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ADVANCED RESEARCH METHODS AND DATA ANALYSIS TECHNIQUES/4110224
Course Title: ADVANCED RESEARCH METHODS AND DATA ANALYSIS TECHNIQUES
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Students who complete the course successfully can be able to; 1. Write a problem
2. Write problem sentence, sub problem, hypothesis 3. Write importance, assumptions, limitations
4. Explain survey and experimental methods 5. Know factors of population and sample selection and solving sample problem
6. Explain characteristics of data gathering instruments (questionnaires, scales etc.)
7. Solve reliability and validity of measurement instruments (factor analysis etc.)
In computer; 8. Create data base for data analysis
9. Do descriptive statistics (frequency, %, mean, standard deviation etc.) 10. Apply correlation techniques (Simple and Partial Correlation)
11. Apply parametric tests (paired and independent t tests, one-way ANOVA, other variance techniques etc.)
12. Apply non-parametric tests ((Mann –Whitney U test, chie square, Kruskall Wallis H test, Wilcoxon Signed Test etc.)
13. Apply Covariance ANCOVA test 14. Apply regression test

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Definition of curriculum development research
2. Week  Problem sentence, sub problem, hypothesis
3. Week  Importance, assumptions and limitations
4. Week  Research models
5. Week  Selection of population and sample and related problems
6. Week  Data gathering instrument (questionnaires, scale etc.)
7. Week  Computer aided validity and reliability calculations in measurement instruments (factor analysis etc.)
8. Week  In computer; Create data base for data analysis
9. Week  Descriptive statistics (frequency, %, mean, standard deviation etc.)
10. Week  Correlation techniques (Simple and Partial Correlation)
11. Week  Parametric test (paired and independent t tests, one-way ANOVA, other variance techniques etc)
12. Week  Non-parametric tests ((Mann –Whitney U test, chie square, Kruskall Wallis H test, Wilcoxon Signed Test etc.)
13. Week  Covariance ANCOVA test
14. Week  Regression tests
15. Week  ..
16. Week  ..
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
50
 Assignment
1
20
 Application
0
0
 Projects
1
30
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
14
3
42
 Searching in Internet and Library
10
2
20
 Material Design and Implementation
0
0
0
 Report Preparing
10
2
20
 Preparing a Presentation
10
2
20
 Presentation
10
2
20
 Midterm Exam and Preperation for Midterm Exam
1
10
10
 Final Exam and Preperation for Final Exam
1
15
15
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
189
 TOTAL WORKLOAD / 25: 
7.56
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11X
12X
 -- NAME OF LECTURER(S)
   (Prof.Dr. Mehmet TASPINAR)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/mehmettaspinar)
 -- EMAIL(S) OF LECTURER(S)
   (mehmettaspinar@hotmail.com)