Statistics in Psychology and Education

Hidetoki ISHII Professor

Department: School of Education / Graduate School of Education and Human Development

Class Time: 2014 Spring Monday
Recommended for: School of Education

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Course Overview

To master the foundation of statistical analysis in psychology and education, introductions of statistics and psychometrics are learned.

Key Features

Using many examples, this course lectures not the theory of mathematical statistics, but the concept of statistical analysis which can manage the problems which will arise in practical research.

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Course Aims

The goal of this course is to master the foundation of statistical analysis in psychology and education.

Textbook

Ishii, H. Introduction to Statistical Analysis: Research methods in health, nurses, psychology and education. Bunkodo: Tokyo, 2005. (in Japanese)

Course Schedule

Session Contents
1 Quantitive and qualitive research, manifest and latent variables
2 Measurement and statistics, scale levels
3 Statistical tables and figures
4 Compose questionnaire
5 Survey and ethics
6 Summarize data distribution
7 Understanding standard deviation
8 Relations between variables (1): correlation
9 Relations between variables (2): association and concordance
10 Classical test theory (1): reliability of measurement
11 Classical test theory (2): standard error of measurement and attenuation
12 Classical test theory (3): validation
13 Factor analysis (1): introduction
14 Factor analysis (2): interpretation
15 Final examination

Grading

Note: All files are in Japanese.

Final examination test (PDF, 96KB)

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Lecture Handouts

Note: All files are in Japanese.

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Session #1
Quantitive and qualitive research, manifest and latent variables (PDF, 225KB)
Session #2
Measurement and statistics, scale levels (PDF, 225KB)
Session #3
Statistical tables and figures (PDF, 223KB)
Session #4
Compose questionnaire (PDF, 224KB)
Session #5
Survey and ethics (PDF, 224KB)
Session #6
Summarize data distribution (PDF, 225KB)
Session #7
Understanding standard deviation (PDF, 225KB)
Session #8
Relations between variables (1): correlation (PDF, 226KB)
Session #9
Relations between variables (2): association and concordance (PDF, 225KB)
Session #10
Classical test theory (1): reliability of measurement (PDF, 225KB)
Session #11
Classical test theory (2): standard error of measurement and attenuation (PDF, 225KB)
Session #12
Classical test theory (3): validation (PDF, 225KB)
Session #13
Factor analysis (1): introduction (PDF, 224KB)
Session #14
Factor analysis (2): interpretation (PDF, 226KB)

Assignments

Note: All files are in Japanese.

Final examination test (PDF, 96KB)

Related Resources

Original handouts are delivered in class.

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Page last updated February 27, 2010

The class contents were most recently updated on the date indicated. Please be aware that there may be some changes between the most recent year and the current page.

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