Lecturer | Hidetoki ISHII, Professor |
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Department | School of Education / Graduate School of Education and Human Development, 2014 Spring |
Recommended for: | School of Education (2・1.5 hours / session One session / week 15 weeks / semester) |
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.
The goal of this course is to master the foundation of statistical analysis in psychology and education.
Ishii, H. Introduction to Statistical Analysis: Research methods in health, nurses, psychology and education. Bunkodo: Tokyo, 2005. (in Japanese)
Session | Contents |
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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 |
Note: All files are in Japanese.
Session #1
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Session #13
Session #14
Note: All files are in Japanese.
[Final examination test](https://ocw.nagoya-u.jp/files/193/siryou_16.pdf)
Note: All files are in Japanese.
Original handouts are delivered in class.
May 16, 2020