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Empirical Comparison of Item Parameters based on the Logistic and Normal Functions

Published online by Cambridge University Press:  01 January 2025

Frank B. Baker
Frank B. Baker*
Affiliation:
University of Maryland
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Abstract

Maximum likelihood estimates of item parameters of a scholastic aptitude test were computed using the normal and logistic models. The goodness of fit of ogives specified by the pairs of item parameters to the observed data was determined for all items. While negligible differences in the limen values were found, differences in item discrimination indices indicated that interpretation of these indices requires separate frames of reference. The empirical results showed the logistic model to be a useful alternative to the normal model in item analysis.

Type
Original Paper
Information
Psychometrika , Volume 26 , Issue 2 , June 1961 , pp. 239 - 246
Copyright
Copyright © 1961 The Psychometric Society

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