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 calculation of basic statistics, statistical tests, ANOVA, multiple comparison, and multiple regression analysis, by using Excel or R Commander.
Statistical data analysis, Excel, R Commander, Problem-solving, Statistical Ways of Viewing and Thinking
✔ 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”. Please check the web-page of Matsuda Lab. to confirm the schedule.
Course schedule | Required learning | |
---|---|---|
Class 1 | Introduction(An E-mail from m-domain address is required until 12:00 on April 13th.) | Install R Commander |
Class 2 | Calculation of basic statistics and Histogram | Calculation of basic statistics and Histogram |
Class 3 | Calculation of basic statistics and Histogram | Calculation of basic statistics and Histogram |
Class 4 | Cross tabulation, Scatter plot and Correlation | Cross tabulation, Scatter plot and Correlation |
Class 5 | Cross tabulation, Scatter plot and Correlation | Cross tabulation, Scatter plot and Correlation |
Class 6 | ANOVA | ANOVA |
Class 7 | ANOVA | ANOVA |
Class 8 | End-term test and Regression Analysis | Review test and regression |
Matsuda, T. and Hagiuda, N. (Eds.) (2021) Introduction to data science for problem-solving, Jikkyo Syuppan.
E-learning materials will be provided.
Achievement levels of e-learning materials, pre-and-post exercises for each lesson, end-term test
Students who do not take "Introduction to Psychological and Educational Measurement" together cannot take this course
stat-ask[at]et.hum.titech.ac.jp
By appointment.