get_item_index_max_information_constrained: Shadow Test item selection

In Karel-Kroeze/ShadowCAT: Multidimensional Computer Adaptive Testing with the Shadow Testing Procedure

Description

Get the item index selected by the Shadow Testing adaptive test assembly procedure by van der Linden (2000).

Usage

get_item_index_max_information_constrained(number_items, administered,
  available, answers, lp_constraints, lp_characters, item_information)

Arguments

number_items	Number of items in the test bank.
administered	Vector with indices of administered items.
available	Vector with indices of yet available items.
answers	Vector with answers to administered items.
lp_constraints	Data frame with constraints in lp format: the lp_constraints from the list returned by constraints_lp_format. NULL means no constraints.
lp_characters	Data frame with constraint characteristics in lp format: the lp_chars from the list returned by constraints_lp_format. NULL means no constraints.
item_information	Vector with summarized information of each yet available item, with zeros for administered items (as returned by get_summarized_information with pad = TRUE).

Details

At each step in a CAT, a Shadow Test is created consisting of an optimal complete test meeting all constraints. The best item that was not already administrated is then selected from this test.

Value

Item index selected by the Shadow Testing adaptive test assembly procedure.

References

• Van der Linden, W. J. (2000). Constrained adaptive testing with shadow tests. In W. J. van der Linden & C. A. W. Glas (Eds.), Computerized adaptive testing: Theory and practice (pp. 27-52). Dordrecht, the Netherlands: Kluwer Academic Publishers.

Karel-Kroeze/ShadowCAT documentation built on May 7, 2019, 12:28 p.m.