R/dataExample.R

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#### PSMD.Psychometrics -- dataExample #### 
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dataExample<-data.frame(
  Student.ID=c(1:20),
  Gender=rep(c("Male","Male","Female","Female","Female"),4),
  Ethnicity=rep(c("White","White","White","Asian","Other"),4),
  Disability=rep(c("No known disability","Other disability","No known disability","Specific learning difficulty","No known disability","No known disability","No known disability","No known disability","Specific learning difficulty","No known disability"),2),
  Stage=c(1,1,1,1,1,2,2,2,2,2,3,3,3,4,4,4,4,5,5,5),
  Score.Perc=c(5.22,10.98,15.24,17.66,25.89,30.00,36.74,30.55,40.89,46.98,55.41,60.76,65.36,70.00,78.62,71.00,68.44,60.35,81.56,97.68),
  Score.Raw=c(5,10,15,17,25,30,36,30,40,46,55,60,65,70,78,71,68,60,81,97),
  Score.Restricted=c(5,0,15,17,25,11,12,7,13,15,22,25,25,19,19,15,24,18,21,8),
  Score.Neg=c(-5.22,10.98,15.24,17.66,25.89,-10.48,36.74,30.55,40.89,46.98,55.41,60.76,65.36,70.00,78.62,-0.25,68.44,60.35,81.56,97.68),
  Grade.UBSE=c("U","B","S","S","E","U","B","S","S","E","S","S","E","B","S","S","E","B","S","E"),
  Grade.USE=c("U","S","S","S","E","U","S","S","S","E","S","S","E","S","S","S","E","S","S","E"),
  Grade.CNINC=c("NC","C","NI","C","C","NC","C","NI","C","NI","NI","C","C","NC","NI","C","C","NC","C","C"),
  Grade.PF=c("F","F","P","P","P","F","F","P","P","P","P","F","P","F","F","P","P","F","P","P"),
  Grade.PFE=c("F","F","P","P","E","F","F","P","P","E","P","P","E","F","P","P","E","F","P","P"),
  Response.CIDK=c("C","C","DK","I","C","DK","DK","C","C","I","DK","I","C","C","C","C","C","C","I","DK"),
  Response.CIDK.Numeric=c(1,1,0,-0.25,1,0,0,1,1,-0.25,0,-0.25,1,1,1,1,1,1,-0.25,0),
  Assessor.ID=c(109,109,114,458,458,12,12,109,114,109,758,758,758,458,4,4,114,12,114,109),
  Score.Element=c(1,2,3,4,1,2,3,4,1,1,2,3,1,2,3,4,3,2,3,3)
  )

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PSMD-Psychometrics/-old-psychometricsPSMD-old- documentation built on Sept. 23, 2017, 12:12 a.m.