2022 Faculty Courses Liberal arts and basic science courses Teacher education courses
Introduction to Psychological and Educational Measurement
- Academic unit or major
- Teacher education courses
- Instructor(s)
- Nobuko Hagiuda
- Class Format
- Lecture (Livestream)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 5-6 Thu
- Class
- -
- Course Code
- LAT.A401
- Number of credits
- 100
- Course offered
- 2022
- Offered quarter
- 1-2Q
- Syllabus updated
- Jul 10, 2025
- Language
- Japanese
Syllabus
Course overview and goals
- Themes of course are statistical methods and mutivariable analysis methods as well as the warp and woof model of problem-solving for stastical analysis.
- This course is integrally managed with "Practices for Psychological and Educational Measurement A & B."
Course description and aims
The goal of this course is to master the basic techniques of statistics often used in the areas of education and psychology.
Keywords
Introductory and intermediate statistics
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
The lessons of this course and exercises of "Practices for Psychological and Educational Measurement" are provided as paired lectures every two weeks on a class day.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Basic Statistics and statistical tests (An E-mail from m-domain address is required until 12:00 on April 14th.) |
Review after exercises by the gaming instructional material |
| Class 2 | Correlation and cross tabulation |
Review after exercises by the gaming instructional material |
| Class 3 | Analysis of variance |
Review after exercises by the gaming instructional material |
| Class 4 | Regression analysis |
Review after exercises by the gaming instructional material |
| Class 5 | Principal component analysis and factor analysis |
Review after exercises by the gaming instructional material |
| Class 6 | Cluster analysis |
Review after exercises by the gaming instructional material |
| Class 7 | Comprehensive analysis |
Review after exercises by the gaming instructional material |
| Class 8 | End term test and review |
Review of the lessons |
Study advice (preparation and review)
Textbook(s)
Matsuda, T. and Hagiuda, N. (Eds.) (2021) Introduction to data science for problem-solving, Jikkyo Syuppan.
Reference books, course materials, etc.
E-learning materials for " Introduction to Psychological and Educational Measurement A & B."
(Additional information will be introduced when necessary.)
Evaluation methods and criteria
Homework Exercises and End term examination (both 1Q and 2Q)
Related courses
- LAT.A403 ： Practices for Psychological and Educational Measurement A
- LAT.A402 ： Introduction to Psychological and Educational Measurement B
- LAT.A404 ： Practices for Psychological and Educational Measurement B
Prerequisites
"Practices for Psychological and Educational Measurement A" is required to be taken concurrently.
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
Office hours by appointment.