Description Usage Arguments Details Value References Examples
Creates a look-up table for early stopping of item administration, for stochastic curtailment.
1 | stochTable(dataset.train, Xstar, gamma0 = 0.95, gamma1 = 0.95)
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dataset.train |
Dataframe, containing item scores only |
Xstar |
cut-off value for the final test score to be used |
gamma0 |
The threshold for the probability, calculated using the 'not-at-risk' training observations, that the classification decision based on the stochastically curtailed version will match that of the full-length instrument. |
gamma1 |
The threshold for the probability, calculated using the 'at-risk' training observations, that the classification decision based on the stochastically curtailed version will match that of the full-length instrument. |
The code is still under development and might change in future versions.
Returns a look-up table with cut-off values for every item, to be used for early stopping of item administration.
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.
1 2 3 | stochTable(itemscores, 19)
# try lower gamma values for earlier stopping:
stochTable(itemscores, 19, gamma0 = .75, gamma1 = .75)
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