Item Selection Using an Average Growth Approximation of Target Information Functions

Richard M. Luecht; Thomas M. Hirsch

Applied Psychological Measurement Vol. 16, No. 1 (1992) pp. 41–51

Derivations of several item selection algorithms for use in fitting test items to target information functions (IFs) are described. These algorithms, which use an average growth approximation of target IFs, were tested by generating six test forms...