The Chain and Post-Stratification Methods for Observed-Score Equating: Their Relationship to Population Invariance

Autor/inn/en	von Davier, Alina A.; Holland, Paul W.; Thayer, Dorothy T.
Titel	The Chain and Post-Stratification Methods for Observed-Score Equating: Their Relationship to Population Invariance
Quelle	In: Journal of Educational Measurement, 41 (2004) 1, S.15-32 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/j.1745-3984.2004.tb01156.x
Schlagwörter	Equated Scores; Evaluation Research; Comparative Testing; Population Groups; Performance Factors; Program Validation; Relationship + Suchen Sie Ihr Suchwort? Evaluationsforschung; Leistungsindikator; Wechselbeziehung
Abstract	The Non-Equivalent-groups Anchor Test (NEAT) design has been in wide use since at least the early 1940s. It involves two populations of test takers, P and Q, and makes use of an anchor test to link them. Two linking methods used for NEAT designs are those (a) based on chain equating and (b) that use the anchor test to post-stratify the distributions of the two operational test scores to a common population (i.e., Tucker equating and frequency estimation). We show that, under different sets of assumptions, both methods are observed score equating methods and we give conditions under which the methods give identical results. In addition, we develop analogues of the Dorans and Holland (2000) RMSD measures of population invariance of equating methods for the NEAT design for both chain and post-stratification equating methods. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10