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Rohit Batra; Silvia A. Bunge; Emilio Ferrer – Structural Equation Modeling: A Multidisciplinary Journal, 2022
Studying development processes, as they unfold over time, involves collecting repeated measures from individuals and modeling the changes over time. One methodological challenge in this type of longitudinal data is separating retest effects, due to the repeated assessments, from developmental processes such as maturation or age. In this article,…
Descriptors: Children, Adolescents, Longitudinal Studies, Test Reliability
Dombrowski, Stefan C.; Golay, Philippe; McGill, Ryan J.; Canivez, Gary L. – Psychology in the Schools, 2018
Bayesian structural equation modeling (BSEM) was used to investigate the latent structure of the Differential Ability Scales-Second Edition core battery using the standardization sample normative data for ages 7-17. Results revealed plausibility of a three-factor model, consistent with publisher theory, expressed as either a higher-order (HO) or a…
Descriptors: Structural Equation Models, Bayesian Statistics, Factor Analysis, Aptitude Tests
Rothenberg, W. Andrew; Hussong, Andrea M.; Chassin, Laurie – Developmental Psychology, 2018
Emerging evidence suggests that family conflict shows continuity across generations and that intergenerational family conflict can be more intense and deleterious than conflict experienced in a single generation. However, few investigations have identified etiological mechanisms by which family conflict is perpetuated across generations.…
Descriptors: Family Environment, Conflict, Depression (Psychology), Family Relationship
Seo, Hyojeong; Little, Todd D.; Shogren, Karrie A.; Lang, Kyle M. – International Journal of Behavioral Development, 2016
Structural equation modeling (SEM) is a powerful and flexible analytic tool to model latent constructs and their relations with observed variables and other constructs. SEM applications offer advantages over classical models in dealing with statistical assumptions and in adjusting for measurement error. So far, however, SEM has not been fully used…
Descriptors: Measures (Individuals), Structural Equation Models, Test Norms, Case Studies
Seo, Hyojeong; Little, Todd D.; Shogren, Karrie A.; Lang, Kyle M. – Grantee Submission, 2016
Structural equation modeling (SEM) is a powerful and flexible analytic tool to model latent constructs and their relations with observed variables and other constructs. SEM applications offer advantages over classical models in dealing with statistical assumptions and in adjusting for measurement error. So far, however, SEM has not been fully used…
Descriptors: Adolescents, Case Studies, Children, Computation
Tatiana Yasmeen Hill; Natalia Palacios – Grantee Submission, 2020
We used structural equation modeling in the Early Childhood Longitudinal Study--Kindergarten Cohort (N = 17,020) to explore the influence of having an older sibling on kindergarten-age focal children's cognitive self-regulation. In model 1, we tested how having a sibling who is generally older than the focal child contributes to the focal child's…
Descriptors: Sibling Relationship, Short Term Memory, Kindergarten, Metacognition
McIntyre, Nancy S.; Solari, Emily J.; Gonzales, Joseph E.; Solomon, Marjorie; Lerro, Lindsay E.; Novotny, Stephanie; Oswald, Tasha M.; Mundy, Peter C. – Journal of Autism and Developmental Disorders, 2017
This study of 8-16-year-olds was designed to test the hypothesis that reading comprehension impairments are part of the social communication phenotype for many higher-functioning students with autism spectrum disorder (HFASD). Students with HFASD (n = 81) were compared to those with high attention-deficit/hyperactivity disorder symptomatology…
Descriptors: Reading Comprehension, Reading Difficulties, Pervasive Developmental Disorders, Autism
Bender, Patrick K.; Sømhovd, Mikael; Pons, Francisco; Reinholdt-Dunne, Marie L.; Esbjørn, Barbara H. – Emotional & Behavioural Difficulties, 2015
Theoretical views and empirical findings suggest interrelations among attachment security, emotion dysregulation and anxiety in childhood and adolescence. However, the associations among the three constructs have rarely been investigated in children, and no study has yet addressed these associations in adolescence. The aim of the present study was…
Descriptors: Children, Adolescents, Anxiety, Attachment Behavior
Flynn, Heather Kohler; Felmlee, Diane H.; Conger, Rand D. – Youth & Society, 2017
We argue that adolescent friendships flourish, or wither, within the "linked lives" of other salient social network ties. Based on structural equation modeling with data from two time points, we find that young people tend to be in high-quality friendships when they are tightly embedded in their social network and receive social support…
Descriptors: Friendship, Social Influences, Parent Influence, Peer Influence
Lawson, Gwendolyn M.; Farah, Martha J. – International Journal of Behavioral Development, 2017
Childhood socioeconomic status (SES), as measured by parental education and family income, is highly predictive of academic achievement, but little is known about how specific cognitive systems shape SES disparities in achievement outcomes. This study investigated the extent to which executive function (EF) mediated associations between parental…
Descriptors: Executive Function, Socioeconomic Status, Educational Attainment, Parent Background
Niileksela, Christopher R.; Reynolds, Matthew R. – Journal of Learning Disabilities, 2014
This study was designed to better understand the relations between learning disabilities and different levels of latent cognitive abilities, including general intelligence (g), broad cognitive abilities, and specific abilities based on the Cattell-Horn-Carroll theory of intelligence (CHC theory). Data from the "Differential Ability…
Descriptors: Learning Disabilities, Cognitive Ability, Theories, Intelligence
Tosto, Maria G.; Hayiou-Thomas, Marianna E.; Harlaar, Nicole; Prom-Wormley, Elizabeth; Dale, Philip S.; Plomin, Robert – Developmental Psychology, 2017
This study examines the genetic and environmental etiology underlying the development of oral language and reading skills, and the relationship between them, over a long period of developmental time spanning middle childhood and adolescence. It focuses particularly on the differential relationship between language and two different aspects of…
Descriptors: Twins, Genetics, Reading Fluency, Structural Equation Models
Hollocks, Matthew J.; Pickles, Andrew; Howlin, Patricia; Simonoff, Emily – Journal of Autism and Developmental Disorders, 2016
Young people with autism spectrum disorder (ASD) have a high prevalence (~40 %) of anxiety disorders compared to their non-ASD peers. It is unclear whether cognitive and biological processes associated with anxiety in ASD are analogous to anxiety in typically developing (TD) populations. In this study 55 boys with ASD (34 with a co-occurring…
Descriptors: Correlation, Biology, Autism, Pervasive Developmental Disorders
van Joolingen, W. R.; Aukes, Annika V.; Gijlers, H.; Bollen, L. – Journal of Science Education and Technology, 2015
Modeling is an important approach in the teaching and learning of science. In this study, we attempt to bring modeling within the reach of young children by creating the SimSketch modeling system, which is based on freehand drawings that can be turned into simulations. This system was used by 247 children (ages ranging from 7 to 15) to create a…
Descriptors: Models, Teaching Methods, Science Instruction, Freehand Drawing
Peterson, Robin L.; Boada, Richard; McGrath, Lauren M.; Willcutt, Erik G.; Olson, Richard K.; Pennington, Bruce F. – Journal of Learning Disabilities, 2017
The current study tested a multiple-cognitive predictor model of word reading, math ability, and attention in a community-based sample of twins ages 8 to 16 years (N = 636). The objective was to identify cognitive predictors unique to each skill domain as well as cognitive predictors shared among skills that could help explain their overlap and…
Descriptors: Twins, Children, Adolescents, Predictor Variables