- 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."
The goal of this course is to master the basic techniques of statistics often used in the areas of education and psychology.
Introductory and intermediate statistics
✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
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 | Required learning | |
---|---|---|
Class 1 | Basic Statistics and statistical tests | Review by exercises |
Class 2 | Correlation and cross tabulation | Review by exercises |
Class 3 | Analysis of variance | Review by exercises |
Class 4 | Regression analysis | Review by exercises |
Class 5 | Principal component analysis and factor analysis | Review by exercises |
Class 6 | Cluster analysis | Review by exercises |
Class 7 | Comprehensive analysis | Review by exercises |
Class 8 | End term test and review | Review |
Matsuda, T. and Hagiuda, N. (Eds.) (2020) Statistical analysis for problem-solving: The first tep to data science, Jikkyo Syuppan.
(Handouts will be provided until the textbook will be published.)
E-learning materials for " Introduction to Psychological and Educational Measurement A & B."
(Additional information will be introduced when necessary.)
End term examination (both 1Q and 2Q)
None