This menu can be used to modify survey weights for particular observations, adjusting
the other weights in the sampling unit or stratum to ensure that the overall sum
of the weights remains unchanged.
Two common problems in survey data are item non-response (i.e. a missing value for one question although valid responses are
present for others) and outliers. For an item response that occurs entirely at random, one
method of dealing with it is to analyse the question with
a modified set of weights
with the weight for the missing observation redistributed over the rest of the units
in the stratum or sampling unit.
Outliers
Specifies the units whose weights are to be adjusted. These should be supplied as a list
separated by commas.
Input Weights
This is the variate containing the weights that are to be modified.
Save new weights
Provides a space to supply the name of an identifier to save the modified weights within.
Stratification factor
For a stratified random survey, this is the factor indicating the stratum to which
each unit belongs. For unstratified designs this should be left blank.
Sampling units
For single stage designs this should be left blank.
Labels
This is an optional variate, factor or text which is used to label influential points. If it is left blank points are labelled by
the numbers 1...n.
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