Calibration Weighting
This menu can used to perform calibration estimation of survey data. The sampling
weights from a survey are often adjusted to ensure that they produce estimates that
match known population totals. For example, if in an agricultural survey the sampling
weights are applied to the areas of the sampled farms, the resulting estimate generally
will not exactly equal the known total agricultural area in the population,
and so an adjustment is required. Calibration calculates adjusted weights that
ensure certain constraints are met, whilst maintaining them as close as
possible to the original sampling weights.
Design
Specifies the type of survey to calibrate the weights for. You can choose from
a simple random survey, a stratified random survey,
or two-way survey.
Input Weights
A variate specifying the initial sampling weights.
Output Weights
Provides a space to supply the name of an identifier to save the adjusted weights within.
Stratification factor
For a stratified survey, this is the factor indicating the stratum to which each unit belongs.
Sampling Units
For a two-way design, this specifies a factor indicating the primary sampling units. This
information is only used for calculation of the standard error of the total and does not affect the calibration process.
Data
Allows you to optionally supply a variate to specify the data for which estimates are required.
Save Fitted Values
This option is enabled when the generalized regression (linear) method is selected in the options.
This allows you to save the fitted values from the regression. These fitted values are needed to
calculate the correct asymptotic standard errors for estimates produced using the weights by
means for the general survey analysis menu.
Available Data
This lists data structures appropriate to the current input field. The contents will change as you move from one field to the
next. Double-click on a name to copy it to the current input field; alternatively, you can type the name directly into the input field.
See Also