2006 HCSDB Adult Sampling Report - Tricare

DESIGN_EFFECTS_UNEQUAL_WEIGHTS.INC***************************************************************************Name:design_effects_unequal_weightsPurpose:Calculate the design effects due to unequal weights. Creates two data sets.One data set contains the overall design effect and the information used tocalculate the design effect. The other data set contains the design effectsfor each category of the analysis variable and the information used tocalculate these design effects. In the two data sets, the additionalinformation refers to the number of observations, the sum of the squaredweights, and the sum of the weights squared.Programmer:Darryl V. CreelParameters:There are five:(1) in_data_set - The input data set.(2) analysis_variable - The analysis variable contains the categoriesby which the design effects are calculated.(3) weight_variable - The weight variable.(4) out_overall_data_set - Name of the data set that contains theoverall design effect.(5) out_data_set - Name of the output data set that contains thedesign effects for each category of the analysisvariable.Output:There are two data sets:(1) A data set that contains the overall design effect and theinformation used to calculte the overall design effect. Itincludes observations that have a missing value for the analysisvariable. This data set is named by the out_overall_data_setparameter.(2) A data set that contains the design effects for each categoryof the analysis variable and the information used to calculatethese design effects. There is one observation for each categoryof the analysis variable, including a missing category, if thereare missing values for the analysis variable. This data set isnamed by the out_data_set parameter.F-6