A model for solving very large item selection
problems is presented. The model builds on previous
work in binary programming applied to test construction.
Expert test construction practices are
applied to situations in which all specifications for
item selection cannot necessarily be met. A heuristic
for selecting items that satisfy the constraints in
the model also is presented. The heuristic is particularly
useful for situations in which the size of the
test construction problem exceeds the limits of current
implementations of linear programming algorithms.
A variety of test construction problems involving
real test specifications and item data from actual
test assemblies were investigated using the model
and the heuristic. Index terms: expert systems,
heuristic algorithms, item response theory, linear
programming, mathematical programming, test assembly,
test construction, test design.
Swanson, Len & Stocking, Martha L. (1993). A model and heuristic for solving very large item selection problems. Applied Psychological Measurement, 17, 151-166. doi:10.1177/014662169301700205
Swanson, Len; Stocking, Martha L..
A model and heuristic for solving very large item selection problems.
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