Item Selection Using an Average Growth Approximation of Target Information Functions.

Luecht, Richard M.; Hirsch, Thomas M.

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Peer reviewed

ERIC Number: EJ450917

Record Type: Journal

Publication Date: 1992

Pages: N/A

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ISSN: ISSN-0146-6216

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Item Selection Using an Average Growth Approximation of Target Information Functions.

Luecht, Richard M.; Hirsch, Thomas M.

Applied Psychological Measurement, v16 n1 p41-51 Mar 1992

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 and were found to provide reliable fit. (SLD)

Descriptors: Algorithms, Computer Assisted Testing, Equations (Mathematics), Goodness of Fit, Mathematical Models, Reliability, Scores, Selection, Statistical Distributions, Test Construction, Test Items

Publication Type: Journal Articles; Reports - Evaluative

Education Level: N/A

Audience: N/A

Language: English

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