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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Computer Education and Instructional Technology
  3. Master of Arts (MA) in Computer Education and Instructional Technology
  4. Master of Arts (MA) in Computer Education and Instructional Technology
  5. Course Structure Diagram with Credits
  6. Quantitative Data Analysis
  7. Description
  • Description
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Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
İST546 - Quantitative Data Analysis II. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) PROF. DR. ADİLE AŞKIM KURT
Mode of Delivery Distance Education
Place of Delivery
Used Educational Platforms
Prerequisites
Courses Recomended
Recommended Resources American Psychological Association. (2009). Publication manual of the American Psychological Association (6th edition). Washington, DC: The author.Field, A. (2013) Discovering Statistics Using SPSS (Introducing Statistical Methods S.). Sage Publication.
Work Placement
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to Quantitative Research and Major concepts
Week - 2 Quantitative research design
Week - 3 Organizing and presenting data
Week - 4 Central tendency measures
Week - 5 Dispersion measures
Week - 6 Standardized scores
Week - 7 Hypothesis testing and assumptions of parametric tests
Week - 8 one sample t-test
Week - 9 Independent sample and paired sample t-tests
Week - 10 Analysis of variance
Week - 11 Correlation
Week - 12 Non-Parametric Analyses-I
Week - 13 Non-Parametric Analyses-II
Week - 14 Presentation of an Statistical Research Study

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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