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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 Educational Sciences
  3. Program in Educational Measurement and Evaluation
  4. Course Structure Diagram with Credits
  5. Measurement Techniques in Education
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
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Last Updated: 06/03/2026

Code - Course Title Course Type Laboratory + Practice ECTS
EÖD507 - Measurement Techniques in Education I. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) DOÇ. DR. MURAT DOĞAN ŞAHİN
Mode of Delivery This course is delivered through face-to-face instruction.
Place of Delivery
Used Educational Platforms
Prerequisites This course has no prerequisites or corequisites.
Courses Recomended
Recommended Resources AERA, APA, & NCME. (2014). Standards for educational and psychological testing. American Educational Research Association.Brennan, R. L. (2001). Generalizability theory. Springer.DeVellis, R. F., & Thorpe, C. T. (2021). Scale development: Theory and applications (5th ed.). Sage.Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Psychology Press.Kolen, M. J., & Brennan, R. L. (2014). Test equating, scaling, and linking: Methods and practices (3rd ed.). Springer Science + Business Media. https://doi.org/10.1007/978-1-4939-0317-7
Work Placement
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Course introduction and theoretical foundations of educational measurement
Week - 2 Types of variables and levels of measurement
Week - 3 Measurement error and classical test theory
Week - 4 Concept of reliability and reliability coefficients
Week - 5 Methods for estimating reliability
Week - 6 Standard error of measurement and score interpretation
Week - 7 Concept of validity and sources of validity evidence
Week - 8 Methods for gathering validity evidence
Week - 9 Introduction to Item Response Theory
Week - 10 Item Response Theory models and applications
Week - 11 Introduction to Generalizability Theory
Week - 12 Methods of test equating
Week - 13 Standard setting approaches
Week - 14 Test adaptation and cross-cultural assessment

  • Quality Education

  • Educational Sciences and Educational Technologies Data Science

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
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