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Carroll, Annemaree; Houghton, Stephen; Wood, Robert; Unsworth, Kerrie; Hattie, John; Gordon, Lisa; Bower, Julie – Journal of Adolescence, 2009
Studies have shown that self-efficacy, aspirational, and other psychosocial influences account for considerable variance in academic achievement through a range of mediational pathways, although no research to date has tested the mediational relationships identified. The present research investigated the structural relations among self-efficacy,…
Descriptors: Delinquency, Structural Equation Models, Self Efficacy, Models
Alfaro, Edna C.; Umana-Taylor, Adriana J.; Gonzales-Backen, Melinda A.; Bamaca, Mayra Y.; Zeiders, Katharine H. – Journal of Adolescence, 2009
Guided by the academic resilience perspective, the current longitudinal study examined whether academic motivation mediated the relation between Latino adolescents' (N = 221) experiences with discrimination and their academic success. The potential moderating role of gender was also examined. Using multiple group analysis in structural equation…
Descriptors: Structural Equation Models, Academic Achievement, Student Motivation, Adolescents
Wood, Alexis C.; Asherson, Philip; Rijsdijk, Fruhling; Kuntsi, Jonna – Journal of the American Academy of Child & Adolescent Psychiatry, 2009
Objective: Symptoms of overactivity form part of the "DSM-IV" criteria for the combined or hyperactive-impulsive subtypes of attention-deficit/hyperactivity disorder (ADHD); yet little data exist that would quantify the nature of the overactivity component. We aimed to quantify the ability of four different measures of motion sensor data, taken…
Descriptors: Attention Deficit Hyperactivity Disorder, Siblings, Structural Equation Models, Identification
Savalei, Victoria; Yuan, Ke-Hai – Multivariate Behavioral Research, 2009
Evaluating the fit of a structural equation model via bootstrap requires a transformation of the data so that the null hypothesis holds exactly in the sample. For complete data, such a transformation was proposed by Beran and Srivastava (1985) for general covariance structure models and applied to structural equation modeling by Bollen and Stine…
Descriptors: Statistical Inference, Goodness of Fit, Structural Equation Models, Transformations (Mathematics)
Dumas, Tara M.; Lawford, Heather; Tieu, Thanh-Thanh; Pratt, Michael W. – Developmental Psychology, 2009
In this longitudinal study, we examined identity development using the life story model (McAdams, 2001), in addition to a traditional identity status approach, in order to explore the association between perceived parenting in adolescence and the subsequent quality of life story narration in emerging adulthood. Participants (N = 100) were given a…
Descriptors: Structural Equation Models, Quality of Life, Child Rearing, Parent Child Relationship
Neppl, Tricia K.; Conger, Rand D.; Scaramella, Laura V.; Ontai, Lenna L. – Developmental Psychology, 2009
This prospective, longitudinal investigation examined mechanisms proposed to explain continuities in parenting behavior across 2 generations (G1, G2). Data came from 187 G2 adults, their mothers (G1), and their children (G3). Prospective information regarding G2 was collected both during adolescence and early adulthood. G1 data were collected…
Descriptors: Child Rearing, Parent Child Relationship, Longitudinal Studies, Mothers
Kitamura, Toshinori; Shikai, Noriko; Uji, Masayo; Hiramura, Hidetoshi; Tanaka, Nao; Shono, Masahiro – Journal of Child and Family Studies, 2009
In order to examine the relationships between parenting styles and personality traits over generations, a cross-sectional questionnaire study was conducted for fathers and mothers of school-age children of grades 5-9. The parenting styles measured by the Parental Bonding Instrument (PBI) and the personality traits measured by the Temperament and…
Descriptors: Personality Traits, Mothers, Structural Equation Models, Parenting Styles
Chu, R. J-C.; Tsai, C-C. – Journal of Computer Assisted Learning, 2009
This article examines several research questions to establish a theory model for explaining factors that influence adult learners' preferences for constructivist Internet-based learning environments (CILE). Data were gathered from 541 individual participants enrolled in adult education institutes in Taiwan for structural equation modelling (SEM)…
Descriptors: Constructivism (Learning), Learning Readiness, Self Efficacy, Adult Basic Education
Shea, Peter; Bidjerano, Temi – Computers & Education, 2009
In this paper, several recent theoretical conceptions of technology-mediated education are examined and a study of 2159 online learners is presented. The study validates an instrument designed to measure teaching, social, and cognitive presence indicative of a community of learners within the community of inquiry (CoI) framework [Garrison, D. R.,…
Descriptors: Higher Education, Computer Mediated Communication, Structural Equation Models, Online Courses
Geijsel, Femke P.; Sleegers, Peter J. C.; Stoel, Reinoud D.; Kruger, Meta L. – Elementary School Journal, 2009
In this study we examined the relative importance of teachers' psychological states, school organizational conditions (teacher collaboration and participative decision making), and the leadership practices (vision, individual consideration, and intellectual stimulation) of principals at their schools in explaining variation in teachers'…
Descriptors: Stimulation, Learning Activities, Structural Equation Models, Self Efficacy
Mouratidis, Athanasios A.; Sideridis, Georgios D. – Journal of Experimental Education, 2009
The authors investigated the relation between social achievement goals (A. M. Ryan & S. S. Shim, 2006) and aspects of students' socio-emotional adjustment in a sample of elementary school students. Structural equation modeling analyses revealed that after controlling for levels of prosocial skills, a social development goal was positively related…
Descriptors: Elementary School Students, Structural Equation Models, Student Adjustment, Emotional Adjustment
Murayama, Kou; Zhou, Mingming; Nesbit, John C. – Educational and Psychological Measurement, 2009
The psychometric properties of scores from the Achievement Goal Questionnaire were examined in samples of Japanese (N = 326) and Canadian (N = 307) postsecondary students. Previous research found evidence of a four-factor structure of achievement goals in U.S. samples. Using confirmatory factor-analytic techniques, the authors found strong…
Descriptors: Foreign Countries, Postsecondary Education, College Students, Factor Analysis
Byrnes, James P.; Wasik, Barbara A. – Contemporary Educational Psychology, 2009
A secondary analysis of the Early Childhood Longitudinal Study-Kindergarten Sample (N = 17,401) was conducted to determine the factors that are most strongly associated with math achievement during kindergarten, first grade, and third grade. Factors from the following three categories were considered: antecedent factors (e.g., family…
Descriptors: Socioeconomic Status, Structural Equation Models, Mathematics Achievement, Academic Achievement
Raykov, Tenko; Mels, Gerhard – Structural Equation Modeling: A Multidisciplinary Journal, 2007
This article presents a didactic discussion of a multilevel covariance structure modeling approach to estimation of lowest level mediation effect indexes in two-level studies. The procedure is useful when addressing questions about relations among total and indirect effects between variables of interest while accounting for the hierarchical…
Descriptors: Intervals, Structural Equation Models, Syntax, Mediation Theory
Chan, Wai – Structural Equation Modeling: A Multidisciplinary Journal, 2007
In social science research, an indirect effect occurs when the influence of an antecedent variable on the effect variable is mediated by an intervening variable. To compare indirect effects within a sample or across different samples, structural equation modeling (SEM) can be used if the computer program supports model fitting with nonlinear…
Descriptors: Structural Equation Models, Social Science Research, Computer Software

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