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- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
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- Department of Social and Human Sciences
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- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Social and Human Sciences
- Instructor(s)
- Mayekawa Shin-Ichi
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Mon5-6(W9-202)
- Group
- -
- Course number
- SHS.D446
- Credits
- 1
- Academic year
- 2017
- Offered quarter
- 4Q
- Syllabus updated
- 2017/4/11
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
This is an introductory and intermediate class for the test theory which is one of the major area of psychometrics.
Student learning outcomes
To master the basics of classical and modern test theory.
Keywords
psychometrics, educational statistics, test theory, classical test theory, item response theory (IRT)
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
Class flow
The instructor will lecture the topics.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction to the test theory | Introduction to psychometrics and test theory. |
| Class 2 | Classical test theory: test reliability and test validity | Understanding the basic idea of classical test theory |
| Class 3 | Item statistics and item evaluation | Understanding the concept of item statistics. |
| Class 4 | Introduction to Item Response Theory (IRT) | Understanding the difference between classical models and IRT. |
| Class 5 | Mathematical models of IRT | Understanding the mathematical models of IRT. |
| Class 6 | Test response function, information function | Understanding what we can do when there is an item bank. |
| Class 7 | Parameter estimation | Understanding the method of parameter estimation: ability and item parameters |
| Class 8 | Review | Review of what we have learned. |
Textbook(s)
Handout can be downloaded from the location shown below.
Reference books, course materials, etc.
http://www.ms.hum.titech.ac.jp/mayekawadocs/TESTT8.pdf
http://www.ms.hum.titech.ac.jp/mayekawadocs/irtlec10.pdf
http://www.ms.hum.titech.ac.jp/mayekawadocs/Rpackages/HTML_help/lazy.irt/index.html
Assessment criteria and methods
attendance： 60%
exam： 40%
Related courses
- LAT.A401 ： Introduction to Psychological and Educational Measurement A
- LAT.A402 ： Introduction to Psychological and Educational Measurement B
- LAT.A403 ： Practices for Psychological and Educational Measurement A
- LAT.A404 ： Practices for Psychological and Educational Measurement B
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Experience of R language maybe helpful.
