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Aug 16th, 2017
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  1. library(ltm)
  2. data <- WIRS
  3. two_pl <- ltm(data ~ z1)
  4.  
  5. Dffclt Dscrmn
  6. Item 1 3.4011395 0.1534064
  7. Item 2 -0.9421221 0.3676923
  8. Item 3 0.8093853 1.7179970
  9. Item 4 1.3689278 1.0101043
  10. Item 5 0.4762685 2.0324137
  11. Item 6 1.6804632 1.3745785
  12.  
  13. (Intercept) z1
  14. Item 1 -0.5217566 0.1534064
  15. Item 2 0.3464111 0.3676923
  16. Item 3 -1.3905215 1.7179970
  17. Item 4 -1.3827598 1.0101043
  18. Item 5 -0.9679746 2.0324137
  19. Item 6 -2.3099285 1.3745785
  20.  
  21. WIRStheta <- ltm::factor.scores(two_pl)
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