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Complex Samples Frequencies
Confidence interval. Aconfidence interval for the estimate, using the specified level.
Coefficient of variation. The ratio of the standard error of the estimate to the estimate.
Unweighted count. The number of units used to compute the estimate.
Design effect. The ratio of the variance of the estimate to the variance obtained by assuming
that the sample is a simple random sample. This is a measure of the effect of specifying a
complex design, where values further from 1 indicate greater effects.
Square root of design effect. This is a measure of the effect of specifying a complex design,
where values further from 1 indicate greater effects.
Cumulative values. The cumulative estimate through each value of the variable.
Test of equal cell proportions. This produces chi-square and likelihood-ratio tests of the hypothesis
that the categories of a variable have equal frequencies. Separate tests are performed for each
variable.
Complex Samples Missing Values
Figure 5-3
Missing Values dialog box
Tables. This group determines which cases are used in the analysis.
Use all available data. Missing values are determined on a table-by-table basis. Thus, the cases
used to compute statistics may vary across frequency or crosstabulation tables.
Use consistent case base. Missing values are determined across all variables. Thus, the cases
used to compute statistics are consistent across tables.
Categorical Design Variables. This group determines whether user-missing values are valid
or invalid.
