Timeline for How to find out if two variables with three levels each are independent of one another in R
Current License: CC BY-SA 4.0
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| Jun 30 at 19:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jun 26, 2021 at 23:54 | answer | added | kjetil b halvorsen♦ | timeline score: 1 | |
| Jun 26, 2021 at 23:54 | history | edited | kjetil b halvorsen♦ |
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| Jun 26, 2021 at 11:22 | history | migrated | from stackoverflow.com (revisions) | ||
| Jun 25, 2021 at 19:07 | comment | added | user2554330 | This is exactly what a Chi-square test for independence is designed for. For a more complete answer, ask on the stats site. | |
| Jun 25, 2021 at 17:47 | comment | added | Ray |
I concur with what is said, if your question is more approach/methods related, SO might not be right place. .... If you look at it from a practical side: you mentioned already to code your levels as numbers or categories. With this you can construct combinations (e.g. no uptake / no empowerment, no uptake / strong empowerment). Doing a basic count (aka histogram) over these combinations gives you an idea of their "occurrences"/frequencies. That is a very basic measure ... but could be a first step to get a feel for your (paper) data set. Good luck!
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| Jun 25, 2021 at 16:46 | history | asked | mira | CC BY-SA 4.0 |