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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. Master of Arts (MA) in Educational Sciences
  4. Program in Educational Measurement and Evaluation
  5. Course Structure Diagram with Credits
  6. Measurement Techniques in Education
  7. Description
  • Description
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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

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  • Educational Sciences and Educational Technologies Data Science

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
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