Table: Create a look-up table for deterministic curtailment

In marjoleinF/curtail: A package for test curtailment

Description

Creates a look-up table for early stopping of item administration, for deterministic curtailment.

Usage

  Table(dataset.train = NULL, Xstar, nitems = NULL, highest = NULL, lowest  = NULL)

Arguments

dataset.train	Optional, a dataframe, containing item scores only
Xstar	cut-off value for the final test score to be used
nitems	number of items in questionnaire (assumed equal for all items)
highest	Optional, highest theoretically possible item score (assumed equal for all items)
lowest	Optional, lowest theoretically possible item score (assumed equal for all items)

Details

Note that either dataset.train needs to be specified, or nitems, highest and lowest.

The code is still under development and may change in future versions.

Value

Returns a look-up table with cut-off values for every item, to be used for early stopping of item administration.

References

Fokkema, M., Smits, N., Finkelman, M. D., Kelderman, H., & Cuijpers, P. (2014). Curtailment: A method to reduce the length of self-report questionnaires while maintaining diagnostic accuracy. Psychiatry Research 215, 477-482.

Fokkema, M., Smits, N., Kelderman, H., Carlier, I.V. & Van Hemert, A.M. (2014). Combining decision trees and stochastic curtailment for assessment length reduction of test batteries used for classification. Applied Psychological Measurement, 38(1), 3-17.

Finkelman, M.D., Smits, N., Kim, W. & Riley, B. (2012). Curtailment and stochastic curtailment to shorten the CES-D. Applied Psychological Measurement, 36(8), 632-658.

Examples

  Table(itemscores, 19)
  Table(Xstar = 19, nitems = 20, highest = 3, lowest = 0)

marjoleinF/curtail documentation built on May 21, 2019, 11:47 a.m.