(De)selecting multivariate mode (!ASUV !ASMV)
univariate analysis is required although the data is presented in a
Specifically, it allows you to have an error
variance other than
If there are missing values in
the data, include
in the fixed part of the linear
model. The intrinsic factor
is defined and may be used
in the model.
This option is used for repeated measures analysis when the variance
structure required is not the standard multivariate unstructured matrix.
is required although the data is presented in
a univariate form. 'Multivariate Analysis' is used in the narrow
sense where an unstructured error variance matrix is fitted across
traits, records are independent, and observations may be missing for
The data is presumed arranged in lots of n records where
is the number of traits. It may be necessary to expand the
data file to achieve this structure, inserting a missing value
on the additional records. This option is sometimes relevant
for some forms of repeated measures analysis. There will need to be a factor in the
data to code for trait as the intrinsic
factor is undefined when the data is presented in a univariate manner.
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