2020 Practices for Psychological and Educational Measurement B

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Academic unit or major
Teacher education courses
Instructor(s)
Matsuda Toshiki  Kuriyama Naoko 
Course component(s)
Exercise
Mode of instruction
ZOOM
Day/Period(Room No.)
Thr5-6(W9-319)  
Group
-
Course number
LAT.A404
Credits
1
Academic year
2020
Offered quarter
2Q
Syllabus updated
2020/9/18
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

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.

Student learning outcomes

Students wiil be able to perform data analysis, such as principle componet analysis, factor analysis, and cluster analysis, by using Excel or R Commander.
Students will be able to perform comprehensive data analysis by using of statsical methods systematically.

Keywords

Statistical package, R Commander, ICT Problem-solving, Statistical Ways of Viewing and Thinking, Multivariate analysis

Competencies that will be developed

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

Class flow

We set up two classes, “Strictery and Explanation of Typical Analysis Methods” and “Review of Lectures → Overcoming Stumbles and Confirmation of Cautions → Applied Tasks”.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Regression analysis Regression
Class 2 Principle componet analysis andFactor analysis Factor analysis
Class 3 Principle componet analysis and Factor analysis Factor analysis
Class 4 Cluster analysis Cluster analysis
Class 5 Cluster analysis、Comprehensive analysis Cluster analysis、Comprehensive analysis
Class 6 Comprehensive analysis exercise Comprehensive analysis exercise
Class 7 Comprehensive analysis exercise Comprehensive analysis exercise
Class 8 Final test and presentation Report

Textbook(s)

Either a textbook will be specified or handouts will be provided.

Reference books, course materials, etc.

E-learning materials will be provided.

Assessment criteria and methods

Achievement levels of e-learning materials, pre-and-post exercises for each lesson, end-term test

Related courses

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

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

Students are required to earn the credit for "Practices for Psychological and Educational Measurement A."

Contact information (e-mail and phone)    Notice : Please replace from "[at]" to "@"(half-width character).

stat-ask[at]et.hum.titech.ac.jp

Office hours

By appointment.

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