منابع مشابه
Selection the best Method of Equating Using Anchor-Test Design in Item Response Theory
Explaining the problem. The equating process is used to compare the scores of the two different tests with the same theme. The goal of this research is finding the best method of equating data using Logistic model. Method. we are using the data of Ph.D. test in Statistic major for two consecutive years 92 and 93. For analyzing, we are specifically using the tests of Statistics major ...
متن کاملThe Missing Data Assumptions of the Nonequivalent Groups With Anchor Test (NEAT) Design and Their Implications for Test Equating
As part of its nonprofit mission, ETS conducts and disseminates the results of research to advance quality and equity in education and assessment for the benefit of ETS's constituents and the field. To obtain a PDF or a print copy of a report, please visit: Abstract The nonequivalent groups with anchor test (NEAT) design involves missing data that are missing by design. Three popular equating m...
متن کاملA Comparison of Four Test Equating Methods
This research evaluated the effectiveness of identifying students’ real gains through the application of four commonly used equating methods: concurrent calibration (CC) equating, fixed common item parameter (FCIP) equating, Stocking and Lord test characteristic curve (TCC) equating, and mean/sigma (M/S) equating. The performance of the four procedures was evaluated using simulated data for a t...
متن کاملExamining the Impact of Drifted Polytomous Anchor Items on Test Characteristic Curve (TCC) Linking and IRT True Score Equating
As part of its nonprofit mission, ETS conducts and disseminates the results of research to advance quality and equity in education and assessment for the benefit of ETS's constituents and the field. To obtain a PDF or a print copy of a report, please visit: Abstract In a common-item (anchor) equating design, the common items should be evaluated for item parameter drift. Drifted items are often ...
متن کاملCan IRT Solve the Missing Data Problem in Test Equating?
In this paper test equating is considered as a missing data problem. The unobserved responses of the reference population to the new test must be imputed to specify a new cutscore. The proportion of students from the reference population that would have failed the new exam and those having failed the reference exam are made approximately the same. We investigate whether item response theory (IR...
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ژورنال
عنوان ژورنال: ETS Research Report Series
سال: 2006
ISSN: 2330-8516
DOI: 10.1002/j.2333-8504.2006.tb02040.x