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Eliseev, Emmaline Drew; Marsh, Elizabeth J. – Applied Cognitive Psychology, 2023
People rely on the internet for easy access to information, setting up potential confusion about the boundaries between an individual's knowledge and the information they find online. Across four experiments, we replicated and extended past work showing that online searching inflates people's confidence in their knowledge. Participants who…
Descriptors: Internet, Access to Information, Online Searching, Knowledge Level
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Ingram, Joanne; Hand, Christopher J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
The influence of domain knowledge on reading behavior has received limited investigation compared to the influence of, for example, context and/or word frequency. The current study tested participants with and without domain knowledge of the "Harry Potter" (HP) universe. Fans and non-fans read sentences containing HP, high-frequency…
Descriptors: Reading Processes, Knowledge Level, Fiction, Word Frequency
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Shabani, Gholamhossein; Rahimy, Ramin – Journal of Psycholinguistic Research, 2020
It is broadly acknowledged that collocation is a crucial aspect of lexical knowledge. A well-developed collocational knowledge is necessary to transfer receptive word knowledge into productive use. The aim of the present study was to investigate comparatively the effect of two glossing conditions (textual and audio) and skewed input on lexical…
Descriptors: Phrase Structure, Audio Equipment, Comparative Analysis, Native Language
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Kaefer, Tanya; Neuman, Susan B.; Pinkham, Ashley M. – Reading Psychology, 2015
The goal of the current study is to explore the influence of knowledge on socioeconomic discrepancies in word learning and comprehension. After establishing socioeconomic differences in background knowledge (Study 1), the authors presented children with a storybook that incorporates this knowledge (Study 2). Results indicated that middle-income…
Descriptors: Preschool Children, Vocabulary Development, Reading Comprehension, Prior Learning