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Lauren A. Mason; Abigail Miller; Gregory Hughes; Holly A. Taylor – Cognitive Research: Principles and Implications, 2025
False alarming, or detecting an error when there is not one, is a pervasive problem across numerous industries. The present study investigated the role of elaboration, or additional information about non-error differences in complex visual displays, for mitigating false error responding. In Experiment 1, learners studied errors and non-error…
Descriptors: Error Correction, Error Patterns, Evaluation Methods, Visual Aids
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Vanhove, Jan – Second Language Research, 2020
Researchers commonly estimate the prevalence of nativelikeness among second-language learners by assessing how many of them perform similarly to a sample of native speakers on one or several linguistic tasks. Even when the native (L1) samples and second-language (L2) samples are comparable in terms of age, socio-economic status, educational…
Descriptors: Second Language Learning, Native Speakers, Labeling (of Persons), Classification
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McCloskey, George – Journal of Psychoeducational Assessment, 2017
This commentary will take an historical perspective on the Kaufman Test of Educational Achievement (KTEA) error analysis, discussing where it started, where it is today, and where it may be headed in the future. In addition, the commentary will compare and contrast the KTEA error analysis procedures that are rooted in psychometric methodology and…
Descriptors: Achievement Tests, Error Patterns, Comparative Analysis, Psychometrics
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Li, Hang; He, Lianzhen – Language Assessment Quarterly, 2015
This study used think-aloud protocols to compare essay-rating processes across holistic and analytic rating scales in the context of China's College English Test Band 6 (CET-6). A group of 9 experienced CET-6 raters scored the same batch of 10 CET-6 essays produced in an operational CET-6 administration twice, using both the CET-6 holistic…
Descriptors: Protocol Analysis, English (Second Language), Second Language Learning, Classification
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Cipani, Ennio – Behavior Analyst Today, 2012
This paper presents the empirical basis for the phenomena known as stimulus overselectivity. Stimulus overselectivity involves responding on the basis of a restricted range of elements or features that are discriminative for reinforcement. The manner in which such a response pattern impedes the skill acquisition in children is identified. A…
Descriptors: Symptoms (Individual Disorders), Classification, Reinforcement, Feedback (Response)
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Kunnari, Sari; Saaristo-Helin, Katri; Savinainen-Makkonen, Tuula – Clinical Linguistics & Phonetics, 2012
This study assesses the phonological development of four Finnish-speaking children (ages 4;8, 4;9, 4;9 and 5;5) with specific language impairment (SLI) and dyspractic features in speech. The analysis is performed using the phonological mean length of utterance (pMLU) method. Moreover, the children's phonological abilities are evaluated…
Descriptors: Phonology, Language Impairments, Foreign Countries, Evaluation Methods
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Holden, Jocelyn E.; Kelley, Ken – Educational and Psychological Measurement, 2010
Classification procedures are common and useful in behavioral, educational, social, and managerial research. Supervised classification techniques such as discriminant function analysis assume training data are perfectly classified when estimating parameters or classifying. In contrast, unsupervised classification techniques such as finite mixture…
Descriptors: Discriminant Analysis, Classification, Computation, Behavioral Science Research
Meeter, M.; Shohamy, D.; Myers, C. E. – Journal of the Experimental Analysis of Behavior, 2009
Acquired equivalence is a paradigm in which generalization is increased between two superficially dissimilar stimuli (or antecedents) that have previously been associated with similar outcomes (or consequents). Several possible mechanisms have been proposed, including changes in stimulus representations, either in the form of added associations or…
Descriptors: Stimuli, Models, Classification, Groups
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Kohli, Rajeev; Jedidi, Kamel – Psychometrika, 2005
The authors introduce subset conjunction as a classification rule by which an acceptable alternative must satisfy some minimum number of criteria. The rule subsumes conjunctive and disjunctive decision strategies as special cases. Subset conjunction can be represented in a binary-response model, for example, in a logistic regression, using only…
Descriptors: Psychometrics, Probability, Models, Classification
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection