autoItemValuesMinMaxConstraint {eatATA}R Documentation

Create single value constraints with minimum and maximum.

Description

itemValuesDeviationConstraint creates constraints related to an item parameter/value. autoItemValuesMixMax automatically determines the appropriate targetValue and then calls itemValuesDeviationConstraint. The function only works for (dichotomous) dummy indicators with values 0 or 1.

Usage

autoItemValuesMinMaxConstraint(
  nForms,
  itemValues,
  testLength = NULL,
  allowedDeviation = NULL,
  relative = FALSE,
  verbose = TRUE,
  itemIDs = NULL
)

Arguments

nForms

Number of forms to be created.

itemValues

Item parameter/values for which the sum per test form should be constrained.

testLength

to be documented.

allowedDeviation

Numeric value of length 1. How much deviance is allowed from target values?

relative

Is the allowedDeviation expressed as a proportion?

verbose

Should calculated values be reported?

itemIDs

a character vector of item IDs in correct ordering, or NULL.

Details

Two scenarios are possible when automatically determining the target value: (a) Either items with the selected property could be exactly distributed across test forms or (b) this is not possible. An example would be 2 test forms and 4 multiple choice items (a) or 2 test forms and 5 multiple choice items (b). If (a), the tolerance level works exactly as one would expect. If (b) the tolerance level is adapted, meaning that if tolerance level is 0 in example (b), allowed values are 2 or 3 multiple choice items per test form. For detailed documentation on how the minimum and maximum are calculated see also computeTargetValues.

Value

A sparse matrix.

Examples

autoItemValuesMinMaxConstraint(2, itemValues = c(0, 1, 0, 1))


[Package eatATA version 1.1.2 Index]