Hostname: page-component-74656f9884-j7cmm Total loading time: 0 Render date: 2026-11-08T12:42:02.239Z Has data issue: false hasContentIssue false

Maximum Likelihood Estimates of Item Parameters using the Logistic Function

Published online by Cambridge University Press:  01 January 2025

A. E. Maxwell*
Affiliation:
Institute of Psychiatry, London University

Abstract

The logistic function is proposed as an alternative to the integrated normal function when estimating parameters of test items. The logistic curve is described; an iterative method for finding maximum likelihood estimates of its parameters is given, and an example of its use is presented.

Information

Type
Original Paper
Copyright
Copyright © 1959 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable