getNormCurve function

Computes the curve for a specific T value

As with this continuous norming regression approach, raw scores are modeled as a function of age and norm score (location), getNormCurve is a straightforward approach to show the raw score development over age, while keeping the norm value constant. This way, e. g. academic performance or intelligence development of a specific ability is shown.

getNormCurve(
  norm,
  model,
  minAge = NULL,
  maxAge = NULL,
  step = 0.1,
  minRaw = NULL,
  maxRaw = NULL
)

Arguments

• norm: The specific norm score, e. g. T value
• model: The model from the regression modeling obtained with the cnorm function
• minAge: Age to start from
• maxAge: Age to stop at
• step: Stepping parameter for the precision when retrieving of the values, lower values indicate higher precision (default 0.1).
• minRaw: lower bound of the range of raw scores (default = 0)
• maxRaw: upper bound of raw scores

Returns

data.frame of the variables raw, age and norm

Examples

# Generate cnorm object from example data
cnorm.elfe <- cnorm(raw = elfe$raw, group = elfe$group)
getNormCurve(35, cnorm.elfe)

See Also

Other predict: derivationTable(), normTable(), predict.cnormBetaBinomial(), predict.cnormBetaBinomial2(), predictNorm(), predictRaw(), rawTable()