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Chapter 8

„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.

T test. You can request t tests of the estimates against a specified value.

Complex Samples Ratios Missing Values

Figure 8-3

Ratios Missing Values dialog box

Ratios. This group determines which cases are used in the analysis.

„Use all available data. Missing values are determined on a ratio-by-ratio basis. Thus, the cases used to compute statistics may vary across numerator-denominator pairs.

„Ensure consistent case base. Missing values are determined across all variables. Thus, the cases used to compute statistics are consistent.

Categorical Design Variables. This group determines whether user-missing values are valid or invalid.

Complex Samples Options

Figure 8-4

Options dialog box

Subpopulation Display. You can choose to have subpopulations displayed in the same table or in separate tables.

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IBM SPSS COMPLEX SAMPLES 19 manual Complex Samples Ratios Missing Values, Complex Samples Options