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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.