urn:ddi:int.example:RP_weight:1
urn:ddi:int.example:DColl:1
urn:ddi:int.example:Meth_1:1
urn:ddi:int.example:WgtMeth_1:1
Standard Weight
Sample is taken using a simple probability resulting in each case being of equal weight in the resulting data.
urn:ddi:int.example:WgtMeth_2:1
Inverse Probability Weighting
The estimation procedure involves weighting the data from each sample person by the inverse of the probability of the person being in the sample. This gives a rough measure of the number of actual persons that the sample person represents.
urn:ddi:int.example:ProcEventScheme:1
urn:ddi:int.example:ProcEvent_l:1
urn:ddi:int.example:WgtEvent_l:1
45027
35793
79.3
2% margin of error
urn:ddi:int.example:ProcEvent_l:1
urn:ddi:int.example:WgtEvent_2:1
urn:ddi:int.example:WgtMeth_1:1
WeightingMethodology
Person
Weight all variables x10
None
All cases represent 10 units in the population.
urn:ddi:int.example:SW:1
10
urn:ddi:int.example:ProcEvent_l:1
urn:ddi:int.example:WgtEvent_3:1
urn:ddi:int.example:WgtMeth_2:1
WeightingMethodology
Person
Weight all variables by the case specific weight.
None
All variables within a case should indicate the appropriate specific weight variable to use in analysing the data.
urn:ddi:int.example:SW:1
10
urn:ddi:int.example:LogProd:1
urn:ddi:int.example:VScheme:1
urn:ddi:int.example:Var_CaseID:1
Case ID
urn:ddi:int.example:Var_PWGT:1
Person Weight
urn:ddi:int.example:Var_1:1
urn:ddi:int.example:WgtEvent_3:1
Weighting
urn:ddi:int.example:Var_PWGT:1
Variable
urn:ddi:int.example:Var_1:1
urn:ddi:int.example:WgtEvent_2:1
Weighting
urn:ddi:int.example:SW:1
StandardWeight