Anadolu Info Package Anadolu Info Package
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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. Test Development
  6. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
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Last Updated: 14/10/2026

Code - Course Title Course Type Laboratory + Practice ECTS
EÖD509 - Test Development I. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Elective Courses
Course Instructor(s) DOÇ. DR. BAŞAK ERDEM KARA
Mode of Delivery This course is delivered through face-to-face instruction.
Place of Delivery On Campus
Used Educational Platforms Face-to-face
Prerequisites This course has no prerequisites or corequisites.
Courses Recomended There are no recommended courses.
Recommended Resources • Anastasi, A. & Urbina, S. (1997). Psychological testing (7th ed.). New Jersey: Prentice-Hall.• Doğan, N. (Eds.) (2021). Eğitimde ölçme ve değerlendirme (3. Baskı). Pegem Akademi.• Downing, S. M., & Haladyna, T. M. (Eds.). (2006). Handbook of test development. Lawrence Erlbaum Associates Publishers.• Gronlund, N. E. (1977). Constructing achievement test (2nd ed.).Prentice-Hall Inc.• Haladyna, T. M. (1994). Developing and validating multiple-choice test items. Hillsdale: Lawrence Erlbaum.• Linn, R. L., & Miller, M. D. (2005). Measurement and assessment in teaching (9th edition). Prentice-Hall.• Murphy, K. R. & Davidshofer, C. O. (2005). Psychological testing: principles and applications (6th Ed.). Pearson Education.• Özçelik, D. A. (2013). Test hazırlama kılavuzu (5. Baskı). Pegem Akademi• Özgüven, İ., E. (2023). Psikolojik testler (18. Baskı). Nobel Akademi.• Şahin, M. D. (Eds.) (2021). Eğitimde ölçme ve değerlendirme. Nobel Akademi.
Work Placement There is no work placement in the context of this course.
Aims of the Course The aim is to equip students with the ability to independently develop tests in accordance with scientific principles; in addition, to provide them with knowledge and critical thinking skills in areas such as test engagement, measurement invariance and AI-assisted item/test development.

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 LO-1 Foundations of Test Development and Classification of Tests Lecture Question & Answer Discussion Brain Storming
Week - 2 LO-1 Test Development Process and Defining the Purpose of the Test Lecture Question & Answer Discussion Team/Group Work Brain Storming
Week - 3 LO-1 Taxonomy of Cognitive Domain Behaviors Lecture Question & Answer Discussion Brain Storming
Week - 4 LO-1 LO-2 Item Writing and Scoring (Selected Response Item Format) Lecture Question & Answer Discussion Problem Solving Brain Storming
Week - 5 LO-1 LO-2 Item Writing and Scoring (Constructed Response Item Format) Lecture Question & Answer Discussion Problem Solving Brain Storming Practice/Practical Work/Workshop
Week - 6 LO-1 LO-2 Practices on Item Writing and Scoring Lecture Question & Answer Discussion Team/Group Work Problem Solving Brain Storming Practice/Practical Work/Workshop
Week - 7 LO-1 LO-3 Field Testing, Item Analysis and Item Selection Lecture Question & Answer Team/Group Work Case Study Practice/Practical Work/Workshop
Week - 8 LO-1 LO-3 Item and Test Statistics Lecture Question & Answer Discussion Practice/Practical Work/Workshop
Week - 9 LO-4 Reliability and Validity Analyses Lecture Question & Answer Discussion Team/Group Work Brain Storming Practice/Practical Work/Workshop
Week - 10 LO-5 Artificial Intelligence Applications in the Test Development Process Lecture Question & Answer Brain Storming Research and Inquiry Document/Text/Data Analysis
Week - 11 LO-5 Item Response Theory in Test Development Process Lecture Question & Answer Brain Storming Practice/Practical Work/Workshop Document/Text/Data Analysis
Week - 12 LO-5 Item Response Theory Applications in Test Development Process Lecture Question & Answer Discussion Team/Group Work Practice/Practical Work/Workshop
Week - 13 LO-5 Test and Item Bias Lecture Discussion Team/Group Work Practice/Practical Work/Workshop Document/Text/Data Analysis
Week - 14 LO-5 Computer Based Test Applications Lecture Question & Answer Team/Group Work Practice/Practical Work/Workshop Document/Text/Data Analysis

  • Quality Education

  • Educational Sciences and Educational Technologies Data Science Innovation Skills

  • Open-Ended Test Multiple Choice Test Short-Answer Test True-False Test Fill-in-the-Blank Test Project Homework

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 30
Final Exam 1 50
Practical Work 1 20
Toplam (%) 100

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