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Álvarez Medina, María Nazaret; Vergara Moragues, Esperanza; Arango-Lasprilla, Juan Carlos; Restrepo Botero, Juan Carlos; Calderón Chagualá, José Amilkar; Rivera, Diego; Olabarrieta-Landa, Laiene – International Journal of Language & Communication Disorders, 2023
Background: Verbal fluency tests (VFT) are highly sensitive to cognitive deficits. Usually, the score on VFT is based on the number of correct words produced, yet it alone gives little information regarding underlying test performance. The implementation of different strategies (cluster and switching) to perform efficiently during the tasks…
Descriptors: Language Fluency, Verbal Ability, Phonological Awareness, Semantics
Belias, Michail; Rovers, Maroeska M.; Hoogland, Jeroen; Reitsma, Johannes B.; Debray, Thomas P. A.; IntHout, Joanna – Research Synthesis Methods, 2022
One of the main goals of an individual participant data meta-analysis (IPD-MA) of intervention studies is to investigate whether treatment effect differences are present, and how they are associated with patient characteristics. Examining treatment heterogeneity due to a continuous covariable (e.g., BMI or age) may be challenging, since there is…
Descriptors: Meta Analysis, Outcomes of Treatment, Prediction, Multivariate Analysis
Beverly, Judith; Giannouchos, Theodoros; Callaghan, Timothy – Autism: The International Journal of Research and Practice, 2021
We analyze the 2011-2016 Healthcare Cost and Utilization Project State Emergency Department Databases and State Inpatient Databases for all emergency department visits by children and adolescents in New York to estimate the association between autism spectrum disorder and frequent emergency department utilization. Our study included 5.9 million…
Descriptors: Hospitals, Medical Services, Children, Adolescents
Ann A. O'Connell; Nivedita Bhaktha; Jing Zhang – Society for Research on Educational Effectiveness, 2021
Background: Counts are familiar outcomes in education research settings, including those involving tests of interventions. Clustered data commonly occur in education research studies, given that data are often collected from students within classrooms or schools. There is a wide array of distributions and models that can be used for clustered…
Descriptors: Hierarchical Linear Modeling, Educational Research, Statistical Distributions, Multivariate Analysis
Chin Yang Shapland; Ellen Verhoef; George Davey Smith; Simon E. Fisher; Brad Verhulst; Philip S. Dale; Beate St Pourcain – npj Science of Learning, 2021
Several abilities outside literacy proper are associated with reading and spelling, both phenotypically and genetically, though our knowledge of multivariate genomic covariance structures is incomplete. Here, we introduce structural models describing genetic and residual influences between traits to study multivariate links across measures of…
Descriptors: Multivariate Analysis, Genetics, Literacy, Language Skills
Sisi Dong – ProQuest LLC, 2023
Cultural capital is a key term from the Social Reproduction Theory, and it is defined as the codes and practices that parents pass on to their children (Bourdieu, 1984). Previous empirical studies have confirmed the importance of cultural capital, and it is positively related to students' reading achievement (e.g., Kosutic, 2017; Noble &…
Descriptors: Elementary School Students, Parents, Reading Achievement, Cultural Capital
Neagoe, Ioana M.; Papasteri, Claudiu C. – Child & Youth Care Forum, 2023
Background: Children and adolescents in residential care have more adverse childhood experiences (ACEs) than those living in any other type of care. However, there is scant research on risk factors accounting for this accumulation. Objective: To establish the prevalence of ACEs in child residential care and to explore predictors of accumulation…
Descriptors: Foreign Countries, Children, Adolescents, Residential Care
Park, Sunyoung; Natasha Beretvas, S. – Journal of Experimental Education, 2021
When selecting a multilevel model to fit to a dataset, it is important to choose both a model that best matches characteristics of the data's structure, but also to include the appropriate fixed and random effects parameters. For example, when researchers analyze clustered data (e.g., students nested within schools), the multilevel model can be…
Descriptors: Hierarchical Linear Modeling, Statistical Significance, Multivariate Analysis, Monte Carlo Methods
Emily M. Meyer – ProQuest LLC, 2021
School psychologists use intelligence and academic achievement test scores to understand individual differences in abilities that may be directed towards learning and the learning that has already occurred. To make ethical and effective decisions regarding individualized educational programs and interventions, test users must understand the…
Descriptors: Academic Achievement, Intelligence, Multidimensional Scaling, School Psychologists