LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Implicit Measures of Receptive Vocabulary Knowledge in Individuals With Level 3 Autism

Photo by jwwhitt from unsplash

Supplemental Digital Content is available in the text. Implicit measures of cognition are essential for assessing knowledge in people with Level 3 autism because such individuals are often unable to… Click to show full abstract

Supplemental Digital Content is available in the text. Implicit measures of cognition are essential for assessing knowledge in people with Level 3 autism because such individuals are often unable to make reliable overt behavioral responses. In this study, we investigated whether three implicit measures—eye movement (EM) monitoring, pupillary dilation (PD), and event-related potentials (ERPs)—can be used to reliably estimate vocabulary knowledge in individuals with Level 3 autism. Five adults with Level 3 autism were tested in a repeated-measures design with two tasks. High-frequency ‘known’ words (eg, bus, airplane) and low-frequency ‘unknown’ words (eg, ackee, cherimoya) were presented in a visual world task (during which EM and PD data were collected) and a picture-word congruity task (during which ERP data were collected). Using a case-study approach with single-subject analyses, we found that these implicit measures have the potential to provide estimates of receptive vocabulary knowledge in individuals with Level 3 autism. Participants differed with respect to which measures were the most sensitive and which variables best predicted vocabulary knowledge. These implicit measures may be useful to assess language abilities in individuals with Level 3 autism, but their use should be tailored to each individual.

Keywords: individuals level; vocabulary knowledge; level autism; autism; implicit measures

Journal Title: Cognitive and Behavioral Neurology
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.