Welcome to the misclassification analyzer.

Use this to check the expected accuracy of various tests using different cut scores
and distributions. If you want it, here is the ASP (old) source code.
code and executable for this.
                - Lawrence Rudner (lmrudner@X edres.org (remove the spam-foiling X and space))

Pick a dataset:
Colorado 1999 Grade 5 Mathematics
    data (IRT parameters)
  54 items, reliability (assuming N(0,1)) = .828
  Mean a, b, c: 0.776 -1.250 0.185
1996 State NAEP, Grade 8 Mathematics
    data (IRT parameters)
  139 items reliability (assuming N(0,1)) = .958
  Mean a, b, c: 0.939 0.035 0.124
Generated for paper
  data (IRT parameters)
  50 items reliability (assuming N(0,1)) = .916
  Mean a, b, c: 1.478 -0.193 0.203

Input cut score:
      Input adjusted cut score (if different):
Group mean (if not 0):
Group sd (if not 1):
               

paper | PARE