2026 (Current Year) Faculty Courses School of Environment and Society Department of Social and Human Sciences Graduate major in Social and Human Sciences

Analyses and Modeling Techniques of Educational Data

Academic unit or major: Graduate major in Social and Human Sciences
Instructor(s): Naoko Kuriyama
Class Format: Exercise (Face-to-face)
Media-enhanced courses: -
Day of week/Period (Classrooms): 1-4 Thu (W9-706)
Class: -
Course Code: SHS.M465
Number of credits: 020
Course offered: 2026
Offered quarter: 2Q
Syllabus updated: Mar 5, 2026
Language: Japanese

Syllabus

Course overview and goals

This course covers standard statistical analysis technology dealing with educational data. We concentrate on the conduct of experimental and survey data collection, and statistical analysis and modeling afterwards. Prerequisites include familiarity with computerized statistical analysis. Courses labeled "Practices for Psychological and Educational Measurement A &B" are good examples. This course makes use of the "active learning" teaching technique, and hence sets a "minimum passenger count" of nine on the very first day of instruction.

Course description and aims

Keywords

Statistical Modeling, Survey data analysis, collaborative group learning, active learning

Competencies

Specialist skills
Intercultural skills
Communication skills
Critical thinking skills
Practical and/or problem-solving skills

Class flow

Basically, the instructors adopt　both conventional lecture-style teaching as well as the "active learning", accompanied by occasional in-class demonstrations using statistical programs.

Course schedule/Objectives

	Course schedule	Objectives
Class 1	Orientation	Mastery of Preparation for PC environment
Class 2	Ethical considerations in empirical research1	Grasp and understand necessary ethical considerations. The group discusses applicable ethical issues through the active learning.
Class 3	Ethical considerations in empirical research2	Grasp and understand necessary ethical considerations. The group discusses applicable ethical issues through the active learning.
Class 4	Ethical considerations in empirical research3	Grasp and understand necessary ethical considerations. The group discusses applicable ethical issues through the active learning.
Class 5	Student presentations 1	Reflecting on the Presentation
Class 6	Survey Method ，Observation studies	Master survey method &observational data collection
Class 7	Experimental design	Master factorial experimental design. Each group prepare for data collection through the active learning.
Class 8	Description of data	Can characterize the obtained data through active learning.
Class 9	Analyses of educational data 1	Select the most applicable method of analysis through the active learning.
Class 10	Analyses of educational data 2	Select the most applicable method of analysis through the active learning.
Class 11	Basics of the causal modeling	Can explain the basics of the causal model construction　through the active learning.
Class 12	Constriction of causal models (1)	Can explain causal model selection and construction
Class 13	Constriction of causal models (2)	Can explain data analyses generated by causal models　through the active learning.
Class 14	Student presentations 2	Reflecting on the Presentation

Study advice (preparation and review)

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.

Textbook(s)

In-class handouts

Reference books, course materials, etc.

Will be introduced in class as necessary. The class makes use of publicly available data for analysis practices.

Evaluation methods and criteria

Contributions to the group and the active learning: 10%
In-class presentations: 90%（1:30％＋2:60％）

Related courses

LAT.A401 ： Introduction to Psychological and Educational Measurement

Prerequisites

Desiderata: Concurrent registration to the following:
LAT.A401 ： Introduction to Psychological and Educational Measurement

Office hours

Office hours by appointment