2019 Practices for Psychological and Educational Measurement A

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Academic unit or major
Teacher education courses
Instructor(s)
Kuriyama Naoko  Hagiuda Nobuko 
Course component(s)
Exercise
Day/Period(Room No.)
Thr5-6(W9-607)  
Group
-
Course number
LAT.A403
Credits
1
Academic year
2019
Offered quarter
1Q
Syllabus updated
2019/3/19
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

This is a companion exercise course 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

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 Introduction Install R Commander
Class 2 Calculation of basic statistics and Histogram Calculation of basic statistics and Histogram
Class 3 Calculation of basic statistics and Histogram Calculation of basic statistics and Histogram
Class 4 Cross tabulation, Scatter plot and Correlation Cross tabulation, Scatter plot and Correlation
Class 5 Cross tabulation, Scatter plot and Correlation Cross tabulation, Scatter plot and Correlation
Class 6 ANOVA ANOVA
Class 7 ANOVA ANOVA
Class 8 Review test and regression Review test and regression

Textbook(s)

Handouts will be provided.

Reference books, course materials, etc.

Introduced when necessary.

Assessment criteria and methods

attendance: 20%
assignment: 40%
review test: 40%

Related courses

  • LAT.A404 : Practices for Psychological and Educational Measurement B

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

None

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