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Data

The data set forms part of the data library of the Alcohol and Drug Services Study (ADSS). The ADSS was a national study of substance abuse treatment facilities and clients. Background data and data on the substance abuse of a sample of 4541 clients were obtained. The sample was stratified by census region and within each stratum a sample was obtained for each of three facility treatment types within each of the four census regions.
The variables of interest are:
- LEV2ID is the region of the client (10 different regions).
- A2TWAO is the design weight of the client.
- cntdiag is the number of abuse diagnoses of the client (0, 1, 2 or 3).
- sex is the value of a dummy variable for the gender (0 for male and 1 for female) of the client.
- mstat_r denotes the marital status (0 for never married, 1 for married, 3 for separated/divorced and 4 for single/widowed) of the client.
- sex_mar denotes the product of sex and mstat_r.
The file Diagnosis.PSF in the MGLIMEX subfolder contains the responses to these statements from a sample from 4541 respondents. The first portion of Diagnosis.PSF is shown in the following PSF window.

Analysis

Select the Open option from the File menu to load the Open dialog box.
Select the PRELIS Data (*.psf) option on the Files of type drop-down list box.
Browse for the file Diagnosis.PSF in the MGLIMEX subfolder and select it.
Click on the Open button to open Diagnosis.PSF in a PSF window.
Select the Title and Options option on the Generalized Linear Model popup menu of the Multilevel menu as shown below

to load the Title and Options dialog box.

Enter the title GLIMS for multilevel data in the Title string box to produce the following Title and Options dialog box.

Click on the Next button to load the ID and Weight Variables dialog box.
Select LEV2ID from the Variables in data list box.
Click on the first Add button to specify LEV2ID as the level 2 identification variable.
Select A2TWA0 from the Variables in data list box.
Click on the final Add button to produce the following dialog box.

Click on the Next button to load the Distributions and Links dialog box.
Select the Poisson option in the Distribution type drop-down list box to produce the following dialog box.

Click on the Next button to load the Dependent and Independent Variables dialog box.
Select the variable cntdiag in the Variables in data variable list box.
Click on the Add button to specify cntdiag as the dependent variable.
Select the variable sex in the Variables in data list box.
Click on the Continuous button.
Select the variable mstat_r in the Variables in data list box.
Click on the Categorical button to produce the following dialog box.

Click on the Finish button to produce the following text editor window for Diagnosis.PR2.

Click on the Run button to produce the following text editor window for Diagnosis.OUT.

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