Kaz's SAS, HLM, and Rasch Model
Rasch model using Winsteps or FACETS
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Step by Step, Procedures to use SAS (to prepare data and read results) and WINSTEPS to do Rasch model analysis 

WINSTEP manual
winsteps.gif

This is also for my work, so I don't have to look for syntax examples in my folders each time I try to do Rasch analysis.

  1. Factor analysis/Correlation analysis just to see how items may line up.
  2. Create a data file using SAS
  3. Write a Winstep file (I pasted the data directly in this program, which I don't always do.)
  4. Result data sets (just to show you how they look like)
  5. Read output file, so we can get SAS data sets off the results.
 
Winsteps/FACETS SAS utilities

 

The meaning of variable names in person measure or item measure files:

  • Entry: Entry number (sequence)
  • Measure: The measure
  • STTS: if 1, estimated in an authentic way (not imputed) DEFINITION OF STTS can be found on page 148 of http://www.winsteps.com/aftp/winsteps.pdf.  2=Anchored (fixed) calibiration; 1=Estimated calibration; 0=xtreme minimum, -1=Extreme Maximum, -2=No responses available for calibiration; -3=deleted by user.
  • COUNT: the number of possible categories
  • SCORE: the sum of actual values
  • ERROR: standard error
  • INMSQ: infit statistics, ideal value is 1
  • INZSTD: standardized version of INMSQ,  red flag if the absolute value of this is larger than 2
  • OUTMS: outfit statistics, ideal value is 1
  • OUTZSTD: standardized version of OUTMS,  red flag if the absolute value of this is larger than 2
  • DISPL: I have to check what this is
  • PTME: Biserrial correlation, correlation between the measure and the measure minus an item in question
  • WEIGHT: weight (ignore, it is all 1 in most application)
  • G
  • M
  • NAME: IDs
 
Other things I always forget and must look for:
 
 
 

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