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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
Gu, Lin; Turkan, Sultan; Gomez, Pablo Garcia – ETS Research Report Series, 2015
ELTeach is an online professional development program developed by Educational Testing Service (ETS) in collaboration with National Geographic Learning. The ELTeach program consists of two courses: English-for-Teaching and Professional Knowledge for English Language Teaching (ELT). Each course includes a coordinated assessment leading to a score…
Descriptors: Item Analysis, Test Items, English (Second Language), Second Language Instruction
Lee, Yong-Won; Gentile, Claudia; Kantor, Robert – ETS Research Report Series, 2008
The main purpose of the study was to investigate the distinctness and reliability of analytic (or multitrait) rating dimensions and their relationships to holistic scores and "e-rater"® essay feature variables in the context of the TOEFL® computer-based test (CBT) writing assessment. Data analyzed in the study were analytic and holistic…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Scoring
Sawaki, Yasuyo; Stricker, Lawrence; Oranje, Andreas – ETS Research Report Series, 2008
The present study investigated the factor structure of a field trial sample of the Test of English as a Foreign Language™ Internet-based test (TOEFL® iBT). An item-level confirmatory factor analysis (CFA) was conducted for a polychoric correlation matrix of items on a test form completed by 2,720 participants in the 2003-2004 TOEFL iBT Field…
Descriptors: Factor Structure, Computer Assisted Testing, Multitrait Multimethod Techniques, Scores
