2018 Introduction to Psychological and Educational Measurement B

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Academic unit or major
Teacher education courses
Instructor(s)
Yamagishi Kimihiko 
Course component(s)
Lecture
Mode of instruction
 
Day/Period(Room No.)
Wed1-2(W9-607)  
Group
-
Course number
LAT.A402
Credits
1
Academic year
2018
Offered quarter
2Q
Syllabus updated
2018/3/20
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

This course introduces various methods of multivariate analysis often used in education, such as Factor analysis, Cluster analysis, Regression analysis, and Multidimensional scaling.

Student learning outcomes

To master how to use multivariate statistical methods.

Keywords

Multivariate analysis, Factor analysis, Cluster analysis, Regression analysis, Multidimensional scaling

Competencies that will be developed

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

Class flow

The instructor will lecture on each topic.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction
Class 2 Multidimensional scaling
Class 3 Cluster analysis
Class 4 Regression analysis
Class 5 Factor analysis
Class 6 Structural equation models
Class 7 Miscellaneous method Learn about other statistical methods.
Class 8 Review

Textbook(s)

Handouts will be prepared.

Reference books, course materials, etc.

Will be introduced when necessary.

Assessment criteria and methods

attendance: 20%
exam: 80%

Related courses

  • LAT.A401 : Introduction to Psychological and Educational Measurement A
  • LAT.A403 : Practices for Psychological and Educational Measurement A
  • LAT.A404 : Practices for Psychological and Educational Measurement B

Prerequisites (i.e., required knowledge, skills, courses, etc.)

Equivalent knowledge of LAT.A401 and LAT.A403

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