A Simple Technique for Estimating Latent Trait Mental Test Parameters

Abstract

A very simple and economical method for estimating initial parameter values for the normal ogive or logistic latent trait mental test model is outlined. The accuracy of the method in comparison with maximum likelihood estimation is investigated through the use of Monte-Carlo data. The study yields a number of observations concerning how sample size and true item parameter values of the data influence both estimation methods.