Predictors of reading comprehension among children with SLI have been rarely studied in Spanish. Even more sparse are longitudinal studies inspecting the evolution of their reading abilities. The aim of the present study is to inspect how decoding, production of grammatical/ungrammatical sentences, production of simple/complex sentences, and vocabulary (measured with two instruments) predict reading comprehension among Spanish-speaking monolingual school-age children with SLI in two grades: 2nd grade and 4th grade. Forty-eight children were recruited for this study, evenly grouped in two conditions: SLI and Typical. Groups were balanced by gender with no differences in months of age. All children were assessed twice: when in 2nd grade and when in 4 grade. Several multiple regression analyses were conducted. Findings revealed differences in terms of which particular predictors significantly impacted reading comprehension in each group. Vocabulary and syntax complexity are the most consistent predictors of reading performance. Decoding predicted reading comprehension performance only in the observed early stage (2nd grade), becoming non-significant over time. Grammaticality was found to have no impact on reading comprehension in both groups. Reported results suggest that vocabulary and complex syntax solidly predict reading comprehension, while decoding and grammaticality play a minor or even negligible role. Thus, interventions designed to improve reading comprehension among children with SLI might benefit from targeting these two particular dimensions of language.
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http://dx.doi.org/10.1016/j.jcomdis.2020.106002 | DOI Listing |
J Clin Med
December 2024
Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Urology, Charitéplatz 1, 10117 Berlin, Germany.
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View Article and Find Full Text PDFBehav Sci (Basel)
November 2024
Nanyang Academy of Fine Arts, University of the Arts Singapore, Singapore 189655, Singapore.
Musical experiences in early piano instruction tend to be led by visual-based methods, limiting opportunities to develop aural abilities for children to understand music. This study examines the exploratory behaviour of music listening through auditory approaches that support visual-based methods to foster musical comprehension. Drawing from case studies of young music learners between the ages of 7 and 8, qualitative data were collected through lesson observations, interviews, game-based assessments, and performance evaluations of a prepared piece.
View Article and Find Full Text PDFBrain Sci
November 2024
ISJPS UMR 8103 CNRS, Université Paris 1 Panthéon Sorbonne, 75005 Paris, France.
Background: The aim of this study is to use an eye tracker to compare the understanding of three forms of implicitness (i.e., presupposition, conversational implicatures, and irony) in 139 pupils from the first to the fifth year of elementary school.
View Article and Find Full Text PDFBrain Sci
November 2024
Centro de Desarrollo de Tecnologías de Inclusión, Escuela de Psicología, Pontificia Universidad Católica de Chile, Santiago 8320165, Chile.
Background: The role of non-linguistic factors, such as executive functions, in the reading comprehension process has been analyzed. The present research sought to investigate the relationship between executive functions and reading comprehension.
Methods: In an exploratory cross-sectional study, a group of 89 fourth-grade students were evaluated, considering a balanced number of children with and without reading comprehension difficulties.
Giant cell arteritis (GCA), a systemic vasculitis affecting large and medium-sized arteries, poses significant diagnostic and management challenges, particularly in preventing irreversible complications like vision loss. Recent advancements in artificial intelligence (AI) technologies, including machine learning (ML) and deep learning (DL), offer promising solutions to enhance diagnostic accuracy and optimize treatment strategies for GCA. This systematic review, conducted according to the PRISMA 2020 guidelines, synthesizes existing literature on AI applications in GCA care, with a focus on diagnostic accuracy, treatment outcomes, and predictive modeling.
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