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ERIC Number: ED466491
Record Type: Non-Journal
Publication Date: 2002-Mar-7
Pages: 20
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Population Invariance and Chain versus Post-Stratification Methods for Equating and Test Linking.
von Davier, Alina A.; Holland, Paul W.; Thayer, Dorothy
The Non-Equivalent-groups Anchor Test (NEAT) design involves two populations, "P" and "Q," of test takes and makes use of an anchor test to link them. Two observed-score equating methods used for NEAT designs are those based on chain equating and those using the anchor to poststratify the distributions of the two operational test scores to a common population, i.e., Tucker equating and frequency estimation. This paper introduced a method that can be used in the NEAT design to study the population invariance of equating methods. The method is applied to study the relative population invariance of Chain and Post stratification equating methods. It combines self-equating (equating at test to itself) with the root mean square difference (RMSD) measure of the population invariance of test linking methods introduced by N. Dorans and P. Holland (2000). The method is illustrated using data from the Advanced Placement examinations. (Contains 1 table, 2 figures, and 14 references.) (Author/SLD)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: Educational Testing Service, Princeton, NJ.