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Juhasz, Barbara J.; Yap, Melvin J.; Raoul, Akila; Kaye, Micaela – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Word frequency is an important predictor of lexical-decision task performance. The current study further examined the role of this variable by exploring the influence of frequency trajectory. Frequency trajectory is measured by how often a word occurs in childhood relative to adulthood. Past research on the role of this variable in word…
Descriptors: Word Frequency, Predictor Variables, Grade 1, College Students
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Weninger, Felix; Staudt, Pascal; Schuller, Björn – International Journal of Distance Education Technologies, 2013
In a large scale study on 843 transcripts of Technology, Entertainment and Design (TED) talks, the authors address the relation between word usage and categorical affective ratings of lectures by a large group of internet users. Users rated the lectures by assigning one or more predefined tags which relate to the affective state evoked in the…
Descriptors: Lecture Method, Online Courses, Internet, Affective Measures
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Hogan, Tiffany P. – Journal of Learning Disabilities, 2010
In this study, we examined the influence of word-level phonological and lexical characteristics on early phoneme awareness. Typically developing children, ages 61 to 78 months, completed a phoneme-based, odd-one-out task that included consonant-vowel-consonant word sets (e.g., "chair-chain-ship") that varied orthogonally by a phonological…
Descriptors: Vocabulary Development, Predictor Variables, Phonemes, Word Frequency
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Dewhurst, Stephen A.; Barry, Christopher – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2006
The Klein effect (G. S. Klein, 1964) refers to the finding that high-frequency words produce greater interference in a color-naming task than low-frequency words. The present study used the Klein effect to investigate the relationship between frequency and age of acquisition (AoA) by measuring their influence on color naming. Two experiments…
Descriptors: Word Frequency, Predictor Variables, Age, Language Acquisition
Moore, Michael; Goldstein, Zahava – 1986
A study investigated the use of a mathematical model to predict individuals' total active Hebrew vocabulary from samples of their written and spoken language. The model is based on a generalized inverse Gaussian distribution. The subjects were Israeli junior high school students from both high and low socioeconomic groups. Hebrew language samples…
Descriptors: Child Language, Foreign Countries, Grade 6, Grade 8