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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
-
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)
- Mayekawa Shin-Ichi Kuriyama Naoko Terai Asuka Terai Asuka
- Class Format
- Exercise
- Media-enhanced courses
- Day/Period(Room No.)
- Thr9-10(W931)
- Group
- -
- Course number
- LAT.A404
- Credits
- 1
- Academic year
- 2016
- Offered quarter
- 2Q
- Syllabus updated
- 2017/1/11
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
This is a companion exercise course of LAT.A402 in which students learn how to use R to do the multivariate analysis of educational data.
Student learning outcomes
Master how to do the multivariate analysis using R.
Keywords
R, Statistical package,
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
Students will do the assignment with the help of instructors.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction | |
| Class 2 | Multidimensional scaling | |
| Class 3 | Cluster analysis | |
| Class 4 | Regression analysis | Explaining one variable by others |
| Class 5 | Factor analysis | Analyzing the relationships among variables. |
| Class 6 | Structural equation models | Construction of statistical models using SEM. |
| Class 7 | Miscellaneous method | |
| Class 8 | review |
Textbook(s)
Handouts will be provided.
Reference books, course materials, etc.
Introduced when necessary.
Assessment criteria and methods
attendance: 40%
assignment: 60%
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
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Equivalent knowledge of LAT.A401, LAT.A402, and LAT.A402
