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Download full textvon Davier, Matthias – ETS Research Report Series, 2016
This report presents results on a parallel implementation of the expectation-maximization (EM) algorithm for multidimensional latent variable models. The developments presented here are based on code that parallelizes both the E step and the M step of the parallel-E parallel-M algorithm. Examples presented in this report include item response…
Descriptors: Psychometrics, Mathematics, Models, Statistical Analysis
Sheehan, Kathleen M. – ETS Research Report Series, 2015
The "TextEvaluator"® text analysis tool is a fully automated text complexity evaluation tool designed to help teachers, curriculum specialists, textbook publishers, and test developers select texts that are consistent with the text complexity guidelines specified in the Common Core State Standards.This paper documents the procedure used…
Descriptors: Scores, Common Core State Standards, Computer Software, Computational Linguistics
von Davier, Matthias – ETS Research Report Series, 2007
This paper introduces the mixture general diagnostic model (MGDM), an extension of the general diagnostic model (GDM). The MGDM extension allows one to estimate diagnostic models for multiple known populations as well as discrete unknown, or not directly observed mixtures of populations. The GDM is based on developments that integrate located…
Descriptors: Item Response Theory, Models, Classification, Statistical Analysis
Mapuranga, Raymond; Dorans, Neil J.; Middleton, Kyndra – ETS Research Report Series, 2008
In many practical settings, essentially the same differential item functioning (DIF) procedures have been in use since the late 1980s. Since then, examinee populations have become more heterogeneous, and tests have included more polytomously scored items. This paper summarizes and classifies new DIF methods and procedures that have appeared since…
Descriptors: Test Bias, Educational Development, Evaluation Methods, Statistical Analysis
Sheehan, Kathleen M.; Kostin, Irene; Futagi, Yoko – ETS Research Report Series, 2007
This paper explores alternative approaches for facilitating efficient, evidence-centered item development for a new type of verbal reasoning item developed for use on the GRE® General Test. Results obtained in two separate studies are reported. The first study documented the development and validation of a fully automated approach for locating the…
Descriptors: College Entrance Examinations, Graduate Study, Test Items, Item Analysis
Sheehan, Kathleen M.; Kostin, Irene; Futagi, Yoko; Hemat, Ramin; Zuckerman, Daniel – ETS Research Report Series, 2006
This paper describes the development, implementation, and evaluation of an automated system for predicting the acceptability status of candidate reading-comprehension stimuli extracted from a database of journal and magazine articles. The system uses a combination of classification and regression techniques to predict the probability that a given…
Descriptors: Automation, Prediction, Reading Comprehension, Classification
