FAQs

How can I get started with SuperMix?

Do you need guidance with setting up your SuperMix analysis? We suggest checking the online help file, which is accessed via the Contents option of the SuperMix Help menu.

 

Should I sort the data before running a model?

Before running a model, the data must be sorted by level 2 ID (level-2 model) and in the case of a level-3 model, IDs should be sorted in the sequence (level-3; level-2).

 

Why can't I get SuperMix output?

Step 1

  •  Check version number: SuperMix 2.1. Contact SuperMix tech support if your version number and/or date are different. 
  • Check operating system.

Step 2

  •  .inp and .out files are stored in a folder with an extremely long name or non-English characters folder is write-protected
  •  running from a USB stick with too little space available for temp files.

 

Other notices:

  • When running SuperMix using Optimization Method: maximum posterior (Advanced tab)

The following message is written to the output file:
    **** Convergence was not attained. Results below may not be reliable.
    **** Increasing the maximum number of iterations may solve the problem.

Ignore this message if the actual number of iterations is smaller than the value specified in the Number of Iterations: text box (Configuration tab). This problem will be corrected in the first free upgrade of SuperMix.

 

  • Contact tech support (This email address is being protected from spambots. You need JavaScript enabled to view it.) to report any bugs .
  • There is a bug for mixrega.exe, contact tech support for the update.
  • Data-based graphs with missing values. 
    Currently, -9 is assumed to be a missing value code when doing data-based graphs. If -9 is a valid value for some variables, then one can change the default to the actual missing value code or to -999999 using the Settings menu when the graph is displayed.
  • Residual plots.
    Residual plots are not available for all model types. Currently, it is only available for the following cases: 
    (1) Normal continuous outcomes.
    (2) Distributions that use the log-link function.