In this course, students will learn research methods frequently used in the fields of cognitive, quantitative, and information sciences. This course aims to cultivate the students’ abilities to: select a proper methodology from various mathematical methods to cooperate with real problems; decide what necessary data is; develop an active research plan.
At the end of this course, students will be able to:
1) Understand the characteristics and merits of various mathematical methods.
2) Select proper methods for practical complicated problem-solving.
3) Develop a scientific research plan which is appropriate for objects and goals.
research methods, research design, statistics, analysis methods
✔ Specialist skills | Intercultural skills | ✔ Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
In the first half, the basics of statistical and analytical methods will be introduced. In the second half, the students will critically read and discuss the literature. As an application of the statistical method, students will present a research plan using the methods they have learned. Materials will be distributed on the day.
Course schedule | Required learning | |
---|---|---|
Class 1 | Introduction to statistics | Exchange opinions and summarize research methods, survey procedures, and presentation methods. |
Class 2 | Chi-square test | Read papers in their own or similar fields that use the chi-square test and examine how it is used. |
Class 3 | Tests for the difference of means | Read papers in their own or similar fields that use t-test and examine how it is used. |
Class 4 | Analysis of variance(1) | Read papers in their own or similar fields that use analysis of variance and examine how it is used. Prepare for the presentation. |
Class 5 | Analysis of variance(2) | Read papers in their own or similar fields that use analysis of variance and examine how it is used. |
Class 6 | How to create a questionnaire (1) | Discuss and summarize the structure of the questionnaire, creation of scale items and face sheets, scale grading methods, and commissioning and conducting the survey. |
Class 7 | How to create a questionnaire (2) | Examine methods for organizing and entering data obtained from questionnaires, and points to be noted when preparing questionnaires. |
Class 8 | Factor analysis (1) | Read papers in their own or similar fields that use factor analysis and examine how it is used. |
Class 9 | Factor analysis (2) | Read papers in their own or similar fields that use factor analysis and examine how it is used. |
Class 10 | Correlation analysis | Read papers in their own or similar fields that use correlation analysis and examine how it is used. |
Class 11 | Multiple regression analysis | Read papers in their own or similar fields that use multiple regression analysis and examine how it is used. Prepare for the presentation. |
Class 12 | Covariance Structure Analysis | Read papers in their own or similar fields that use covariance structure analysis and examine how it is used. Prepare for the presentation. |
Class 13 | Presentation (1) | Join a presentation and discussions according to assignments. |
Class 14 | Presentation (2) | Join a presentation and discussions according to assignments. |
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Nothing required.
Course materials will be provided during the class.
Presentations by groups or individuals will be assessed as your own performance.
Students should have basic statistical concepts.
Reiko Sato(rsato[at]ila.titech.ac.jp)
Midori Komatsu(komatsu.m.ae[at]m.titech.ac.jp)
Naoko Kuriyama(kuriyama[at]ila.titech.ac.jp)
Contact by e-mail in advance to schedule an appointment.
This course consists of the content of science. However, it is still useful even for the students who want to study technology.
This course is the methodological preparations for your master thesis.