Modifications of the Test Information Function
Technical rept. 1987-1990
TENNESSEE UNIV KNOXVILLE DEPT OF PSYCHOLOGY
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A minimum bound of any estimator, biased or unbiased, is considered, and, based on that, Modification Formula No. 1 is proposed for the maximum likelihood estimator, in place of the test information function. A minimum bound of the mean squared error is considered, and, based on that, Modification Formula No. 2 in the same context is proposed. Examples are given, and the usefulnesses of these modified test information functions in computerized adaptive testing are discussed. These topics are also discussed and observed for the monotonically transformed latent variable.
- Statistics and Probability