A: The multinomial logit procedure appears on the menu with two variance estimation options: one using replication methods, the other using a taylor-series method (under Basic Statistics). The appropriate choice depends on the data set that you are analyzing.
- If your data set includes replicate weights, you should probably use a replication procedure.
- If your data set includes strata and PSU identifiers, you should probably use a Taylor-series method
- If your data set has neither, you probably have a simple random sample, or a data set that was not properly constructed. If the sample was drawn as a simple random sample (possibly with unequal weights), you can use the Taylor-series procedures.
You can specify the weights in one of two ways:
1. Drag them into the appropriate box from the variable list; or
2. right click on the variable in the variable list. To specify an overall weight, select "Edit Metadata" and press the "weight" radio button under "design role." To specify replicate weights, select "Specify replicate weights," and drag the appropriate variables into the dialog box that pops up.
The difference between the replication variance estimation methods (JK1, JK2, etc.) has to do with how the weights are constructed, and how the variance calculations are done. You can find the details in the help system, under Tools|Variance Estimation|Jackknife and Tools|Variance Estimation|Balanced Repeated Replication
On the gender variable--the answer depends on how you want to use it. Is it the criterion or dependent variable? If so, drag it into the dependent variable box. If it is an independent variable, drag it into the independent variable box. If you believe that prediction variance differs between groups, drag it into the variance predictors box.
I hope this helps.