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Ordered-Categorical Data
environment. The other three items were designed to be measures of awareness of
environmental issues. This design of the questionnaire is reflected in the following
factor analysis model, which is saved in the file Ex33-a.amw.
The path diagram is drawn exactly as it would be drawn for numeric data. This is one
of the good things about having at least three categories for each ordered-categorical
variable: You can specify a model in the way that you are used to, just as though all the
variables were numeric, and the model will work for any combination of numeric and
ordered-categorical variables. If variables are dichotomous, you will need to impose
additional parameter constraints in order to make the model identified. This issue is
discussed further in the online help under the topic “Parameter identification with
dichotomous variables.”
Fitting the Model
E Click on the toolbar.
or
E From the menus, choose Analyze > Bayesian Estimation.
Note: The button is disabled because, with non-numeric data, you can perform only
Bayesian estimation.
0, 1
WILLING
item1
item2
item3
item6
item4
item5
0,
e1
0,
e2
0,
e3
0,
e4
0,
e5
0,
e6
0, 1
AWARE
1
1
1
1
1
1