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Crossley, Scott A.; McNamara, Danielle S. – Journal of Second Language Writing, 2009
The purpose of this paper is to provide a detailed analysis of how lexical differences related to cohesion and connectionist models can distinguish first language (L1) writers of English from second language (L2) writers of English. Key to this analysis is the use of the computational tool Coh-Metrix, which measures cohesion and text difficulty at…
Descriptors: Second Language Learning, Discriminant Analysis, English (Second Language), Educational Technology
Protopapas, Athanassios; Skaloumbakas, Christos; Bali, Persefoni – Learning Disabilities: A Contemporary Journal, 2008
After reviewing past efforts related to computer-based reading disability (RD) assessment, we present a fully automated screening battery that evaluates critical skills relevant for RD diagnosis designed for unsupervised application in the Greek educational system. Psychometric validation in 301 children, 8-10 years old (grades 3 and 4; including…
Descriptors: Reading Difficulties, Discriminant Analysis, Classification, Computer Assisted Testing
Peer reviewedWaterhouse, Julie Keith; Beeman, Pamela Butler – Journal of Professional Nursing, 2001
Discriminant analysis was used to identify variables predictive of success in the computerized National Council Licensure Examination for Registered Nurses with data from 289 nursing graduates. Using seven significant predictors, 94% of passes and 92% of failures were correctly identified. (Contains 23 references.) (SK)
Descriptors: Computer Assisted Testing, Discriminant Analysis, Higher Education, Licensing Examinations (Professions)

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