Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 1 |
Descriptor
Alphabets | 3 |
Experiments | 3 |
Word Recognition | 2 |
Behavior Modification | 1 |
Coding | 1 |
Compliance (Psychology) | 1 |
Developmental Disabilities | 1 |
Eye Movements | 1 |
Human Body | 1 |
Intervention | 1 |
Language Processing | 1 |
More ▼ |
Author
Perea, Manuel | 2 |
Belfiore, Phillip J. | 1 |
Hua, Youjia | 1 |
Johnson, Rebecca L. | 1 |
Lee, David L. | 1 |
Lupker, Stephen J. | 1 |
Rayner, Keith | 1 |
Scheeler, Mary Catherine | 1 |
Smith, Rachel | 1 |
Publication Type
Journal Articles | 3 |
Reports - Evaluative | 3 |
Education Level
Elementary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Johnson, Rebecca L.; Perea, Manuel; Rayner, Keith – Journal of Experimental Psychology: Human Perception and Performance, 2007
Three eye movement experiments were conducted to examine the role of letter identity and letter position during reading. Before fixating on a target word within each sentence, readers were provided with a parafoveal preview that differed in the amount of useful letter identity and letter position information it provided. In Experiments 1 and 2,…
Descriptors: Human Body, Silent Reading, Eye Movements, Word Recognition
Lee, David L.; Belfiore, Phillip J.; Scheeler, Mary Catherine; Hua, Youjia; Smith, Rachel – Psychology in the Schools, 2004
The use of high-probability (high-p) request sequences has enjoyed support in the applied behavioral literature as a method to increase compliance. Based on the theory of behavioral momentum, high-probability sequences increase the rate of responding, and subsequent rate of reinforcement, within a response class. This increase in density of…
Descriptors: Reinforcement, Persistence, Developmental Disabilities, Behavior Modification
Perea, Manuel; Lupker, Stephen J. – Journal of Memory and Language, 2004
Nonwords created by transposing two "adjacent" letters (i.e., transposed-letter (TL) nonwords like "jugde") are very effective at activating the lexical representation of their base words. This fact poses problems for most computational models of word recognition (e.g., the interactive-activation model and its extensions), which assume that exact…
Descriptors: Alphabets, Word Recognition, Models, Lexicology