2017 Practices for Psychological and Educational Measurement A

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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.A403
Credits
1
Academic year
2017
Offered quarter
1Q
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.A401 in which students learn how to use R to do the statistical analysis of educational data.

Student learning outcomes

Master the basics of R language and its statistical packages.

Keywords

Statistical data analysis, R

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 Data frame Reading data into R
Class 3 Histogram, cross tabulation Calculation of basic statistics
Class 4 Correlation and regression Scatter plot and regression
Class 5 Statistical inference on population mean t test
Class 6 Oneway ANOVA Oneway ANOVA
Class 7 Twoway ANOVA Twoway ANOVA
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

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

Equivalent know\ledge of LAT.A401

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