▶Japanese
Post to SNS
- Home
- > Liberal arts and basic science courses
- > Teacher education courses
- > Introduction to Psychological and Educational Measurement B
- School of Science
-
School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 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
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Teacher education courses
- Instructor(s)
- Yamagishi Kimihiko
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Wed1-2(W9-607)
- Group
- -
- Course number
- LAT.A402
- Credits
- 1
- Academic year
- 2018
- Offered quarter
- 2Q
- Syllabus updated
- 2018/3/20
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
This course introduces various methods of multivariate analysis often used in education, such as Factor analysis, Cluster analysis, Regression analysis, and Multidimensional scaling.
Student learning outcomes
To master how to use multivariate statistical methods.
Keywords
Multivariate analysis, Factor analysis, Cluster analysis, Regression analysis, Multidimensional scaling
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 on each topic.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction | |
| Class 2 | Multidimensional scaling | |
| Class 3 | Cluster analysis | |
| Class 4 | Regression analysis | |
| Class 5 | Factor analysis | |
| Class 6 | Structural equation models | |
| Class 7 | Miscellaneous method | Learn about other statistical methods. |
| Class 8 | Review |
Textbook(s)
Handouts will be prepared.
Reference books, course materials, etc.
Will be introduced when necessary.
Assessment criteria and methods
attendance: 20%
exam: 80%
Related courses
- LAT.A401 ： Introduction to Psychological and Educational Measurement A
- 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.)
Equivalent knowledge of LAT.A401 and LAT.A403
