Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), 
HLM (hierarchical linear modeling, multilevel model), SuperMix (mixed models, mixed-effects program, MIXREG, MIXOR, MIXNO and MIXPREG) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), 
HLM (hierarchical linear modeling, multilevel model), SuperMix (mixed models, mixed-effects program, MIXREG, MIXOR, MIXNO and MIXPREG) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)Scientific Software International (SSI) publishes statistical data analysis software: LISREL (structural equation model/SEM, survey generalized linear model/SGLIM), 
HLM (hierarchical linear modeling, multilevel model), SuperMix (mixed models, mixed-effects program, MIXREG, MIXOR, MIXNO and MIXPREG) and Item Response Theory/IRT (BILOG-MG, MULTILOG, PARSCALE)


D  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.

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A  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 Next button to load the Random Variables dialog box.
  • Select the variable sex in the Variables in data list box.
  • Click on the upper add button to load 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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