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 are performance data for 149 air traffic controllers.
  • The variables in the data set are:
    • control: The identifying number of the air traffic controller
    • time: The number of the trial (between 1 and 6)
    • measure: The number of successful landings for the trial
    • ability: The cognitive ability score (combined ASVB score)
    • constant: The intercept term, with value 1 throughout
    • timesq: time x time, a quadratic term.
  • More details about the data are available in Kanfer & Ackerman (1989).
  • The data are listed in the file KANFER.PSF in the TUTORIAL folder.
  • The first portion of KANFER.PSF is shown in the PSF window below.

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A  Analysis
  • Click the Open option on the File menu to load the Open dialog box.
  • Select the PRELIS Data (*.psf) option on the Files of type drop-down list box. 
  • Select the file KANFER.PSF in the TUTORIAL folder.
  • Click on the Open button to open KANFER.PSF in a PSF window.
  • Click on the Linear Model option on the Multilevel menu.
  • Select the Title and Options option on the Linear Model menu to load the Title and Options dialog box.
  • Enter the string Kanfer and Ackerman data: Variance decomposition in the Title: string field.
  • Click on the Next button to load the Identification variables dialog box.
  • Select the label control.
  • Click on the Add button of the Level 2 ID Variable section to produce the following Identification variables dialog box.

  • Click on the Next button to load the Select Response and Fixed Variables dialog box.
  • Select the label measure.
  • Click on the Add button of the Response Variables section to produce the following Select Response and Fixed Variables dialog box.

  • Click on the Next button to load the following dialog box to produce the following Random Variables dialog box.

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

  • Click on the Run PRELIS button to produce the following text editor window for KANFER.OUT.

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