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Example 13
About the Data
For this example, we will be using Attig’s (1983) memory data, which was described
in Example 1. We will use data from both young and old subjects. The raw data for the
two groups are contained in the Microsoft Excel workbook UserGuide.xls, in the
Attg_yng and Attg_old worksheets. In this example, we will be using only the measures
recall1 and cued1.
Model A for Young and Old Subjects
In the analysis of Model B of Example 10, we concluded that recall1 and cued1 have
the same variances and covariance for both old and young people. At least, the
evidence against that hypothesis was found to be insignificant. Model A in the present
example replicates the analysis in Example 10 of Model B with an added twist. This
time, the means of the two variables recall1 and cued1 will also be estimated.
Mean Structure Modeling in Amos Graphics
In Amos Graphics, estimating and testing hypotheses involving means is not too
different from analyzing variance and covariance structures. Take Model B of
Example 10 as a starting point. Young and old subjects had the same path diagram:
The same parameter names were used in both groups, which had the effect of requiring
parameter estimates to be the same in both groups.
Means and intercepts did not appear in Example 10. To introduce means and
intercepts into the model:
E From the menus, choose View > Analysis Properties.
E In the Analysis Properties dialog box, click the Estimation tab.
var_rec
recall1
var_cue
cued1
cov_rc