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.
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.
Statistical package, R Commander, ICT Problem-solving, Statistical Ways of Viewing and Thinking, Multivariate analysis
✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
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 | |
---|---|---|
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 |
Either a textbook will be specified or handouts will be provided.
E-learning materials will be provided.
Achievement levels of e-learning materials, pre-and-post exercises for each lesson, end-term test
Students are required to earn the credit for "Practices for Psychological and Educational Measurement A."
stat-ask[at]et.hum.titech.ac.jp
By appointment.