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Steven F. Warren

Researcher at University of Kansas

Publications -  132
Citations -  7485

Steven F. Warren is an academic researcher from University of Kansas. The author has contributed to research in topics: Fragile X syndrome & Language acquisition. The author has an hindex of 44, co-authored 128 publications receiving 6856 citations. Previous affiliations of Steven F. Warren include Peabody College & University of North Carolina at Chapel Hill.

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Differential treatment intensity research: a missing link to creating optimally effective communication interventions.

TL;DR: This work reviews how intervention intensity has been defined in the literature and proposes a set of terms borrowed from medicine that are intended to capture the dynamic aspects of this concept as an aid to further investigation.
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Language development in Down syndrome: From the prelinguistic period to the acquisition of literacy

TL;DR: This article focuses on the prelinguistic foundations of language and the major components of language (i.e., vocabulary, syntax, and pragmatics) and considers two topics in the treatment and education of individuals with DS: prelingsuistic communication intervention and the acquisition of literacy skills.
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Automated vocal analysis of naturalistic recordings from children with autism, language delay, and typical development.

TL;DR: The first automated approach implemented is not only able to track children's development on acoustic parameters known to play key roles in speech, but also is able to differentiate vocalizations from typically developing children and children with autism or language delay.
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Effects of Prelinguistic Milieu Teaching and Parent Responsivity Education on Dyads Involving Children With Intellectual Disabilities

TL;DR: The effect of RPMT on growth rate of child-initiated comments and growth of productive language varied by pretreatment frequency of canonical vocal communication.
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Mapping the Early Language Environment Using All-Day Recordings and Automated Analysis

TL;DR: This research provided a first-generation standardization of automated language environment estimates, validated these estimates against standard language assessments, and extended on previous research reporting language behavior differences across socioeconomic groups.