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Cheung, Mike W. L. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
Mediators are variables that explain the association between an independent variable and a dependent variable. Structural equation modeling (SEM) is widely used to test models with mediating effects. This article illustrates how to construct confidence intervals (CIs) of the mediating effects for a variety of models in SEM. Specifically, mediating…
Descriptors: Structural Equation Models, Probability, Intervals, Sample Size
Demi, Mary Ann; Coleman-Jensen, Alisha; Snyder, Anastasia R. – Journal of Research in Rural Education, 2010
This study uses an ecological systems framework to examine how indicators of individual, family, and school contexts are associated with post-secondary educational enrollment among a sample of rural youth. Structural equation modeling allows us to examine both direct and indirect effects of these contexts on school enrollment. Unique elements of…
Descriptors: Rural Youth, Structural Equation Models, Self Efficacy, Adolescents
McCaughey, Tiffany – ProQuest LLC, 2009
Decades of research have examined factors involved in complex, and sometimes stressful, interpersonal interactions between individuals with and without disabilities. The present study applies structural equation modeling to test an integrative model of individual and situational factors affecting encounters between able-bodied college students and…
Descriptors: College Students, Structural Equation Models, Focus Groups, Barriers
Ponitz, Claire Cameron; Rimm-Kaufman, Sara E.; Grimm, Kevin J.; Curby, Timothy W. – School Psychology Review, 2009
This study examined the extent to which kindergarteners' classroom behavioral engagement mediated the relation between global classroom quality and children's reading achievement. A structural equation framework was used to analyze data collected in a primarily low-income rural sample (N = 171). Children's reading achievement was measured in the…
Descriptors: Structural Equation Models, Reading Achievement, Kindergarten, Reading Skills
Peer reviewedde Jong, Peter F. – Structural Equation Modeling, 1999
Describes how a hierarchical regression analysis may be conducted in structural equation modeling. The main procedure is to perform a Cholesky or triangular decomposition of the intercorrelations among the latest predictors. Provides an example of a hierarchical regression analysis with latent variables. (SLD)
Descriptors: Predictor Variables, Regression (Statistics), Structural Equation Models
Mathews, Catherine; Aaro, Leif Edvard; Flisher, Alan J.; Mukoma, Wanjiru; Wubs, Annegreet G.; Schaalma, Herman – Health Education Research, 2009
Early coital debut is a risk factor for HIV. In this paper we investigate the predictors of young adolescents' transition to first intercourse using a social cognition theoretical framework. The analyses reported here were based on a longitudinal study of 2360 students in the schools allocated to the control arm of a cluster-randomized controlled…
Descriptors: Municipalities, Socioeconomic Status, Self Efficacy, Early Adolescents
Dubow, Eric F.; Boxer, Paul; Huesmann; L. Rowell – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2009
We examine the prediction of individuals' educational and occupational success at age 48 from contextual and personal variables assessed during their middle childhood and late adolescence. We focus particularly on the predictive role of the parents' educational level during middle childhood, controlling for other indices of socioeconomic status…
Descriptors: Academic Achievement, Parent Background, Educational Attainment, Predictor Variables
Boislard P., Marie-Aude; Poulin, Francois; Kiesner, Jeff; Dishion, Thomas J. – International Journal of Behavioral Development, 2009
In this study, two longitudinal models of early adolescent risky sexual behaviors (RSB) were compared using a pooled sample of 267 Canadian and Italian adolescents (55% females; 53% Canadians) assessed yearly from grade 8 to 10. We focused on parenting practices (monitoring, control, limit setting), adolescent problem behaviors (antisocial…
Descriptors: Socialization, Structural Equation Models, Sexually Transmitted Diseases, Parenting Styles
van Daal, John; Verhoeven, Ludo; van Leeuwe, Jan; van Balkom, Hans – Journal of Communication Disorders, 2008
In the present study, the relations of various aspects of working memory to various aspects of language problems in a clinical sample of 97 Dutch speaking 5-year-old children with severe language problems were studied. The working memory and language abilities of the children were examined using an extensive battery of tests. Working memory was…
Descriptors: Semantics, Language Impairments, Memory, Severe Disabilities
Martin, Andrew J.; Marsh, Herbert W. – Journal of School Psychology, 2008
Academic buoyancy is developed as a construct reflecting everyday academic resilience within a positive psychology context and is defined as students' ability to successfully deal with academic setbacks and challenges that are typical of the ordinary course of school life (e.g., poor grades, competing deadlines, exam pressure, difficult…
Descriptors: Structural Equation Models, Self Efficacy, Factor Analysis, Teacher Student Relationship
Buhner, Markus; Kroner, Stephan; Ziegler, Matthias – Intelligence, 2008
The relationship between working memory, intelligence and problem-solving is explored. Wittmann and Suss [Wittmann, W.W., & Suss, H.M. (1999). Investigating the paths between working memory, intelligence, knowledge, and complex problem-solving performances via Brunswik symmetry. In P.L. Ackerman, R.D. Roberts (Ed.), "Learning and individual…
Descriptors: Undergraduate Students, Intelligence, Problem Solving, Short Term Memory
Jang, Hyungshim – Journal of Educational Psychology, 2008
The present study examined the capacity of 2 different theoretical models of motivation to explain why an externally provided rationale often supports students' motivation, engagement, and learning during relatively uninteresting learning activities. One hundred thirty-six undergraduates (108 women, 28 men) worked on an uninteresting 20-min lesson…
Descriptors: Structural Equation Models, Undergraduate Students, Learner Engagement, Student Motivation
Houlihan, Amy E.; Gibbons, Frederick X.; Gerrard, Meg; Yeh, Hsiu-Chen; Reimer, Rachel A.; Murry, Velma M. – Journal of Early Adolescence, 2008
A 5-year longitudinal study of African American adolescents, aged 10 to 12 at Time 1, used the prototype/willingness (prototype) model to examine the (social) cognitive effects of the onset of sexual behavior on self-concept. Structural equation modeling (SEM) showed that becoming sexually active was related to favorable changes in adolescents'…
Descriptors: Structural Equation Models, Early Adolescents, Sexuality, Self Concept
De Groof, Saskia – Youth & Society, 2008
Many studies have been conducted to examine the predictors of fear of crime among adults, but feelings of insecurity among children and adolescents have been practically ignored. The aim of this study is to search for relevant determinants of fear of crime in a representative sample of 1,212 Flemish (Belgian) adolescents, age 14 to 18, and one of…
Descriptors: Crime, Structural Equation Models, Parenting Styles, Adolescents
Kung, Hsin-Yi – Policy Futures in Education, 2009
The Third International Mathematics and Science Study research of the International Association for the Evaluation of Educational Achievement reported in 2003 that Taiwanese fourth- and eighth-graders' mathematics performance exceeded the international average; both groups ranked fourth from among all the participant countries. However, the Index…
Descriptors: Mathematics Education, Self Efficacy, Mathematics Achievement, Foreign Countries

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