- 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)