EconPapers    
Economics at your fingertips  
 

Derivations of Observed Score Linear Equating Methods Based on Test Score Models for the Common Item Nonequivalent Populations Design

David Woodruff

Journal of Educational and Behavioral Statistics, 1986, vol. 11, issue 4, 245-257

Abstract: Linear equating methods for the common item nonequivalent populations design are derived from explicitly stated test score models. The models are congeneric type models for tests administered in two distinct populations. Though the data collected in the design are incomplete, procedures for estimating all parameters necessary for equating are derived. The equating methods developed are compared with previously developed methods to which they are similar. By developing explicit models for the problem, insight is gained into the assumptions required for its solution.

Keywords: Linear equating; Tucker’s equating method; major axis equating method; congeneric model; incomplete data (search for similar items in EconPapers)
Date: 1986
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.3102/10769986011004245 (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:11:y:1986:i:4:p:245-257

DOI: 10.3102/10769986011004245

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:11:y:1986:i:4:p:245-257