User Guide

Variance Components Analysis

considered useful for an unbalanced model with no missing cells. In a factorial design

with no missing cells, this method is equivalent to the Yates’ weighted-squares-of-

means technique. The Type III sum-of-squares method is commonly used for:

 Any models listed in Type I.

 Any balanced or unbalanced model with no empty cells.

Variance Components Save to New File

Figure 3-4

Variance Components Save to New File dialog box

You can save some results of this procedure to a new SPSS data file.

Variance component estimates. Saves estimates of the variance components and

estimate labels to a data file. These can be used in calculating more statistics or in

further analysis in the GLM procedures. For example, you can use them to calculate

confidence intervals or test hypotheses.

Component covariation. Saves a variance-covariance matrix or a correlation matrix to a

data file. Available only if

Maximum likelihood or Restricted maximum likelihood has been

specified.

Save to File. Allows you to specify a filename for the file containing the variance

component estimates and/or the matrix.

You can use the

MATRIX command to extract the data you need from the new file and

then compute confidence intervals or perform tests.