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Oct 6, 2016 8:24 AM
(512 views)

I am running a Fit Model where the effects are nested. The Means displayed in the Least Squares Means Table for the higher level effect (TT in my data), do not even come close to what a simple calculation of the means using Fit Y by X show.

The description of the Least Squares Means Table indicates that the Mean displayed is the "sample mean for the given level".

I would appreciate if someone more versed in Nested ANOVAs than I am can provide me with an explanation.

I have attached the data table with an embedded script.

Jim

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Solution

Jim,

Apparently it is the *No Intercept* option that you selected caused the problem. In other words, if you include the intercept, they match. I agree with you that means should match, but I don't know why this happens. Please contact support@jmp.com, and I am sure they will give you an answer :-)

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Oct 7, 2016 6:47 AM
(356 views)

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Oct 7, 2016 8:05 AM
(356 views)

Isaac,

I understand that I am doing 2 different analyses, however, the documentation seems to indicate that what the Mean value should be is the Sample Mean, and that the Least Sq Mean will be different, not the Sample Mean.

Jim

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Jim,

Apparently it is the *No Intercept* option that you selected caused the problem. In other words, if you include the intercept, they match. I agree with you that means should match, but I don't know why this happens. Please contact support@jmp.com, and I am sure they will give you an answer :-)