IBM SPSS COMPLEX SAMPLES 19 manual Complex Samples Missing Values

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Chapter 7

Summaries for 2-by-2 Tables. This group produces statistics for tables in which the row and column variable each have two categories. Each is a measure of the strength of the association between the presence of a factor and the occurrence of an event.

„Odds ratio. The odds ratio can be used as an estimate of relative risk when the occurrence of the factor is rare.

„Relative risk. The ratio of the risk of an event in the presence of the factor to the risk of the event in the absence of the factor.

„Risk difference. The difference between the risk of an event in the presence of the factor and the risk of the event in the absence of the factor.

Test of independence of rows and columns. This produces chi-square and likelihood-ratio tests of the hypothesis that a row and column variable are independent. Separate tests are performed for each pair of variables.

Complex Samples Missing Values

Figure 7-3

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.