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Heatly, Melissa Castle; Votruba-Drzal, Elizabeth – Developmental Psychology, 2017
Early school engagement patterns set the stage for short- and long-term academic behaviors and progress, and low engagement at school entry can give rise to dysfunctional school behavior and underachievement in later years. Relationships with parents and teachers provide a foundation upon which children develop the skills and behaviors that are…
Descriptors: Parent Child Relationship, Teacher Student Relationship, Elementary School Students, Grade 1
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Yan, Ni; Dix, Theodore – Developmental Psychology, 2016
Using data from the National Institute of Child Health and Human Development (NICHD) Study of Early Child Care and Youth Development (N = 1,364), the present study supports an agentic perspective; it demonstrates that mothers' depressive symptoms in infancy predict children's poor first-grade cognitive functioning because depressive symptoms…
Descriptors: Depression (Psychology), Mothers, Symptoms (Individual Disorders), Cognitive Ability
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Wang, Yiji; Dix, Theodore – Developmental Psychology, 2017
On the basis of longitudinal data across 9 years, this study examined the contribution of sustained attention and executive function to the poor cognitive and socioemotional adjustment of school-age children whose mothers had depressive symptoms during the child's infancy. Mothers (N = 1,364) reported depressive symptoms across their child's…
Descriptors: Longitudinal Studies, Mothers, Depression (Psychology), Infants
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Castro-Schilo, Laura; Widaman, Keith F.; Grimm, Kevin J. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
In 1959, Campbell and Fiske introduced the use of multitrait-multimethod (MTMM) matrices in psychology, and for the past 4 decades confirmatory factor analysis (CFA) has commonly been used to analyze MTMM data. However, researchers do not always fit CFA models when MTMM data are available; when CFA modeling is used, multiple models are available…
Descriptors: Multitrait Multimethod Techniques, Factor Analysis, Structural Equation Models, Monte Carlo Methods