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Phi (f) Correlation
Explanations > Social Research > Analysis > Phi (f) Correlation Description | Discussion | See also
DescriptionPhi (f) correlation is used to assess correlation between two variables where they are in a 2 x 2 table (ie. both variables are dichotomous). Phi is calculated by first calculating chi-square, then using the following calculation: f = SQRT(c2 / N) DiscussionChi-square says that there is a significant relationship between variables, but it does not say just how significant and important this is. Phi correlation is a post-test to give this additional information. Phi varies between -1 and 1. Close to 0 it shows little association between variables. Close to 1, it indicates a strong positive association. Close to -1 it shows a strong negative correlation. Remember that Phi is only of use in 2x2 tables. Where tables are larger, use Cramer's V. See also |
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| Home | Top | Quick Links | Settings | |
Main sections: | Disciplines | Techniques | Principles | Explanations | Theories | |
Other sections: | Blog! | Quotes | Guest articles | Analysis | Books | Help | |
More pages: | Contact | Caveat | About | Students | Webmasters | Awards | Guestbook | Feedback | Sitemap | Changes | |
Settings: | Computer layout | Mobile layout | Small font | Medium font | Large font | Translate | |
| Home | Top | Menu | Quick Links | |
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