▶Japanese
Post to SNS
- Home
- > Liberal arts and basic science courses
- > Teacher education courses
- > Practices for 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)
- Matsuda Toshiki Kuriyama Naoko
- Class Format
- Exercise
- Media-enhanced courses
- Day/Period(Room No.)
- Thr5-6()
- Group
- -
- Course number
- LAT.A404
- Credits
- 1
- Academic year
- 2021
- Offered quarter
- 2Q
- Syllabus updated
- 2021/3/19
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
The course will focus on teaching statistical methods and the Warp and Woof model to do the statistical analysis of either psychological or educational data.
Student learning outcomes
Students wiil be able to perform data analysis, such as principle componet analysis, factor analysis, and cluster analysis, by using Excel or R Commander.
Students will be able to perform comprehensive data analysis by using of statsical methods systematically.
Keywords
Statistical package, R Commander, ICT Problem-solving, Statistical Ways of Viewing and Thinking, Multivariate analysis
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
Class flow
We set up two classes, “Strictery and Explanation of Typical Analysis Methods” and “Review of Lectures → Overcoming Stumbles and Confirmation of Cautions → Applied Tasks”.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Regression analysis | Regression |
| Class 2 | Principle componet analysis andFactor analysis | Factor analysis |
| Class 3 | Principle componet analysis and Factor analysis | Factor analysis |
| Class 4 | Cluster analysis | Cluster analysis |
| Class 5 | Cluster analysis、Comprehensive analysis | Cluster analysis、Comprehensive analysis |
| Class 6 | Comprehensive analysis exercise | Comprehensive analysis exercise |
| Class 7 | Comprehensive analysis exercise | Comprehensive analysis exercise |
| Class 8 | Final test and presentation | Report |
Textbook(s)
Either a textbook will be specified or handouts will be provided.
Reference books, course materials, etc.
E-learning materials will be provided.
Assessment criteria and methods
Achievement levels of e-learning materials, pre-and-post exercises for each lesson, end-term test
Related courses
- LAT.A401 ： Introduction to Psychological and Educational Measurement
- LAT.A403 ： Practices for Psychological and Educational Measurement A
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Students are required to earn the credit for "Practices for Psychological and Educational Measurement A."
Contact information (e-mail and phone) Notice : Please replace from "[at]" to "@"(half-width character).
stat-ask[at]et.hum.titech.ac.jp
Office hours
By appointment.
