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Equating Subscores under the Nonequivalent Anchor Test (NEAT) Design
Educational Measurement: Issues and Practice, 2011Gautam Puhan
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An Evaluation of Five Linear Equating Methods for the NEAT Design
Measurement, 2009This study uses the results of two previous papers (Kane, Mroch, Suh, & Ripkey, this issue; Suh, Mroch, Kane, & Ripkey, this issue) and the literature on linear equating to evaluate five linear equating methods along several dimensions, including the plausibility of their assumptions and their levels of bias and root mean squared difference (RMSD). The
Andrew A. Mroch +3 more
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A New Approach to Comparing Several Equating Methods in the Context of the NEAT Design
Journal of Educational Measurement, 2010The nonequivalent groups with anchor test (NEAT) design involves missing data that are missing by design. Three equating methods that can be used with a NEAT design are the frequency estimation equipercentile equating method, the chain equipercentile equating method, and the item‐response‐theory observed‐score‐equating method.
Sandip Sinharay, Paul W Holland
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ETS Research Report Series, 2006
ABSTRACTThis paper focuses on the Non‐Equivalent Groups with Anchor Test (NEAT) design for test equating and on two classes of observed—score equating (OSE) methods—chain equating (CE) and poststratification equating (PSE). These two classes of methods reflect two distinctly different ways of using the information provided by the anchor test for ...
Alina von Davier +2 more
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ABSTRACTThis paper focuses on the Non‐Equivalent Groups with Anchor Test (NEAT) design for test equating and on two classes of observed—score equating (OSE) methods—chain equating (CE) and poststratification equating (PSE). These two classes of methods reflect two distinctly different ways of using the information provided by the anchor test for ...
Alina von Davier +2 more
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The Missing Data Assumptions of the Neat Design and their Implications for Test Equating
Psychometrika, 2010The Non-Equivalent groups with Anchor Test (NEAT) design involves missingdata that are missing by design. Three nonlinear observed score equating methods used with a NEAT design are the frequency estimation equipercentile equating (FEEE), the chain equipercentile equating (CEE), and the item-response-theory observed-score-equating (IRT OSE).
Sinharay, Sandip, Holland, Paul W.
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Generalized Equating Functions for NEAT Designs
2009The purpose of this chapter is to introduce generalized equating functions for the equating of test scores through an anchor. Depending on the choice of parameter values, the generalized equating function can perform either linear equating or equipercentile equating, either by poststratification on the anchor or by chained linking through the anchor.
Haiwen H. Chen +2 more
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EQUATING OF SUBSCORES AND WEIGHTED AVERAGES UNDER THE NEAT DESIGN
ETS Research Report Series, 2011ABSTRACTRecently, the literature has seen increasing interest in subscores for their potential diagnostic values; for example, one study suggested the report of weighted averages of a subscore and the total score, whereas others showed, for various operational and simulated data sets, that weighted averages, as compared to subscores, lead to more ...
Sandip Sinharay, Shelby Haberman
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An Empirical Comparison of Five Linear Equating Methods for the NEAT Design
Measurement, 2009In this study, a data base containing the responses of 40,000 candidates to 90 multiple-choice questions was used to mimic data sets for 50-item tests under the nonequivalent groups with anchor test (NEAT) design. Using these smaller data sets, we evaluated the performance of five linear equating methods for the NEAT design with five levels of group ...
Youngsuk Suh +3 more
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THE MISSING DATA ASSUMPTIONS OF THE NONEQUIVALENT GROUPS WITH ANCHOR TEST (NEAT) DESIGN AND THEIR IMPLICATIONS FOR TEST EQUATING [PDF]
ETS Research Report Series, 2009 ABSTRACTThe nonequivalent groups with anchor test (NEAT) design involves missing data that are missing by design. Three popular equating methods that can be used with a NEAT design are the poststratification equating method, the chain equipercentile equating method, and the item‐response‐theory observed‐score‐equating method.
Sandip Sinharay, Paul W Holland
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