Open AccessAN EXPLORATION OF KERNEL EQUATING USING SAT® DATA: EQUATING TO A SIMILAR POPULATION AND TO A DISTANT POPULATION
Author(s) -
Liu Jinghua,
Low Albert C.
Publication year - 2007
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2333-8504.2007.tb02059.x
Subject(s) - equating , population , statistics , mathematics , kernel (algebra) , econometrics , demography , combinatorics , sociology , rasch model
This study applied kernel equating (KE) in two scenarios: equating to a very similar population and equating to a very different population, referred to as a distant population, using SAT® data. The KE results were compared to the results obtained from analogous classical equating methods in both scenarios. The results indicate that KE results are comparable to the results of other methods. Further, the results show that when the two populations taking the two tests are similar on the anchor score distributions, different equating methods yield the same or very similar results, even though they have different assumptions.