2017 Practices for Psychological and Educational Measurement B

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Academic unit or major
Teacher education courses
Instructor(s)
Mayekawa Shin-Ichi  Kuriyama Naoko 
Course component(s)
Exercise
Day/Period(Room No.)
Thr9-10(W9-607)  
Group
-
Course number
LAT.A404
Credits
1
Academic year
2017
Offered quarter
2Q
Syllabus updated
2017/3/27
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

This is a companion exercise course of LAT.A402 in which students learn how to use R to do the multivariate analysis of educational data.

Student learning outcomes

Master how to do the multivariate analysis using R.

Keywords

R, Statistical package,
Multivariate analysis, Factor analysis, Cluster analysis, Regression analysis, Multidimensional scaling

Competencies that will be developed

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

Class flow

Students will do the assignment with the help of instructors.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction
Class 2 Multidimensional scaling
Class 3 Cluster analysis
Class 4 Regression analysis Explaining one variable by others
Class 5 Factor analysis Analyzing the relationships among variables.
Class 6 Structural equation models Construction of statistical models using SEM.
Class 7 Miscellaneous method
Class 8 review

Textbook(s)

Handouts will be provided.

Reference books, course materials, etc.

Introduced when necessary.

Assessment criteria and methods

attendance: 40%
assignment: 60%

Related courses

  • LAT.A401 : Introduction to Psychological and Educational Measurement A
  • LAT.A402 : Introduction to Psychological and Educational Measurement B
  • LAT.A403 : Practices for Psychological and Educational Measurement A

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

Equivalent knowledge of LAT.A401, LAT.A402, and LAT.A402

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