Timeline for Multifactor ANOVA- What is the connection between sample size and orthogonality?
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| Dec 13, 2021 at 3:07 | vote | accept | Sean Raleigh | ||
| Dec 11, 2021 at 20:21 | comment | added | Eoin |
Yes, I was a bit sloppy in my wording - if you want actual orthogonality, not just independence, code the values as -1 and +1. If this answers your question, please remember to upvote and mark the question as answered.
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| Dec 10, 2021 at 18:31 | comment | added | Sean Raleigh | This is getting much closer to the answer I was looking for. I will note that the vectors that represent the two balanced factors in the design matrix are not orthogonal. (Their inner product will be 20--the number of cases where both take value 1.) But the fact that they are uncorrelated means some transformation of those vectors will be orthogonal. So I think this is pretty close. | |
| Dec 6, 2021 at 15:50 | history | edited | Eoin | CC BY-SA 4.0 |
added 26 characters in body
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| Dec 6, 2021 at 15:43 | history | answered | Eoin | CC BY-SA 4.0 |