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Liu, Haiyan; Zhang, Zhiyong; Grimm, Kevin J. – Grantee Submission, 2016
Growth curve modeling provides a general framework for analyzing longitudinal data from social, behavioral, and educational sciences. Bayesian methods have been used to estimate growth curve models, in which priors need to be specified for unknown parameters. For the covariance parameter matrix, the inverse Wishart prior is most commonly used due…
Descriptors: Bayesian Statistics, Computation, Statistical Analysis, Growth Models
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Duvekot, Jorieke; van der Ende, Jan; Verhulst, Frank C.; Slappendel, Geerte; van Daalen, Emma; Maras, Athanasios; Greaves-Lord, Kirstin – Autism: The International Journal of Research and Practice, 2017
In order to shed more light on why referred girls are less likely to be diagnosed with autism spectrum disorder than boys, this study examined whether behavioral characteristics influence the probability of an autism spectrum disorder diagnosis differently in girls versus boys derived from a multicenter sample of consecutively referred children…
Descriptors: Autism, Pervasive Developmental Disorders, Gender Differences, Clinical Diagnosis
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Verhagen, Josje; de Bree, Elise; Mulder, Hanna; Leseman, Paul – Journal of Psycholinguistic Research, 2017
This study investigates the relationship between nonword repetition (NWR) and vocabulary in 2-year-olds. Questions addressed are whether (1) NWR and vocabulary are associated, (2) phonotactic probability affects NWR, and (3) there is an interaction effect between phonotactic probability and vocabulary on NWR performance. The general aim of the…
Descriptors: Correlation, Toddlers, Vocabulary Development, English
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Dempsey, Ian; Valentine, Megan; Colyvas, Kim – International Journal of Disability, Development and Education, 2016
Determining the effectiveness of many special education interventions is most difficult because of the practical and ethical limitations associated with assigning participants to a control or non-treated group. Using Longitudinal Study of Australian Children data, this article utilised eight different propensity score analysis methods to determine…
Descriptors: Foreign Countries, Special Education, Student Needs, Longitudinal Studies
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Foster, E. Michael; Jenkins, Jade V. Marcus – American Educational Research Journal, 2017
This article reconsiders the association between childhood arts participation and cognitive and developmental outcomes. Using data from a large, nationally representative sample with extensive covariates, we employ propensity score weighting to adjust comparisons of children who do and do not participate in arts education (music and performing…
Descriptors: Student Participation, Music Activities, Theater Arts, Art Education
Foorman, Barbara R.; Petscher, Yaacov; Schatschneider, Chris – Florida Center for Reading Research, 2015
The Florida Center for Reading Research (FCRR) Reading Assessment (FRA) consists of computer-adaptive reading comprehension and oral language screening tasks that provide measures to track growth over time, as well as a Probability of Literacy Success (PLS) linked to grade-level performance (i.e., the 50th percentile) on the reading comprehension…
Descriptors: Elementary School Students, Middle School Students, High School Students, Written Language
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Zagorsky, Jay L. – Intelligence, 2007
How important is intelligence to financial success? Using the NLSY79, which tracks a large group of young U.S. baby boomers, this research shows that each point increase in IQ test scores raises income by between $234 and $616 per year after holding a variety of factors constant. Regression results suggest no statistically distinguishable…
Descriptors: Probability, Income, Financial Problems, Credit (Finance)