EconPapers    
Economics at your fingertips  
 

A Note on Levine’s Formula for Equating Unequally Reliable Tests Using Data From the Common Item Nonequivalent Groups Design

Bradley A. Hanson

Journal of Educational and Behavioral Statistics, 1991, vol. 16, issue 2, 93-100

Abstract: Levine’s formula for equating unequally reliable tests using data collected in the common item nonequivalent groups equating design is an estimate of a linear function relating true scores on two test forms to be equated. Because a function relating true scores is applied to the observed score, it is not clear how the resulting converted observed score is in any sense comparable to the observed score it is being equated to. This article demonstrates that Levine’s formula can be interpreted as a method of moments estimate of an equating function that results in first order equity of the equated test score under a classical congeneric model.

Keywords: equating; congeneric model (search for similar items in EconPapers)
Date: 1991
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://journals.sagepub.com/doi/10.3102/10769986016002093 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:16:y:1991:i:2:p:93-100

DOI: 10.3102/10769986016002093

Access Statistics for this article

More articles in Journal of Educational and Behavioral Statistics
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:jedbes:v:16:y:1991:i:2:p:93-100