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Peer reviewedSigfusdottir, Inga-Dora; Farkas, George; Silver, Eric – Journal of Youth and Adolescence, 2004
Drawing on R. Agnew's (Foundation for a general strain theory of crime and delinquency. Criminology 30: 47-87, 1992) general strain theory, this paper examines whether depressed mood and anger mediate the effects of family conflict on delinquency. We examine data on 7,758 students, 14-16 years old, attending the compulsory 9th and 10th grades of…
Descriptors: Structural Equation Models, Delinquency, Conflict, Adolescents
Biesanz, Jeremy C.; Deeb-Sossa, Natalia; Papadakis, Alison A.; Bollen, Kenneth A.; Curran, Patrick J. – Psychological Methods, 2004
The coding of time in growth curve models has important implications for the interpretation of the resulting model that are sometimes not transparent. The authors develop a general framework that includes predictors of growth curve components to illustrate how parameter estimates and their standard errors are exactly determined as a function of…
Descriptors: Intervals, Structural Equation Models, Computation, Regression (Statistics)
Kosciulek, John F. – Rehabilitation Counseling Bulletin, 2005
One model that is potentially useful in the rehabilitation field is the Consumer-Directed Theory of Empowerment (CDTE; Kosciulek, 1999a). However, additional empirical data are needed to further develop and critically evaluate the CDTE. To accomplish this task, the purpose of this study was to test the hypothesized structural model CDTE in a…
Descriptors: Structural Equation Models, Vocational Rehabilitation, Databases, Longitudinal Studies
Davey, Adam – Structural Equation Modeling: A Multidisciplinary Journal, 2005
Effects of incomplete data on fit indexes remain relatively unexplored. We evaluate a wide set of fit indexes (?[squared], root mean squared error of appproximation, Normed Fit Index [NFI], Tucker-Lewis Index, comparative fit index, gamma-hat, and McDonald's Centrality Index) varying conditions of sample size (100-1,000 in increments of 50),…
Descriptors: Goodness of Fit, Structural Equation Models, Data Analysis
Graham, John W. – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Conventional wisdom in missing data research dictates adding variables to the missing data model when those variables are predictive of (a) missingness and (b) the variables containing missingness. However, it has recently been shown that adding variables that are correlated with variables containing missingness, whether or not they are related to…
Descriptors: Structural Equation Models, Simulation, Computation, Maximum Likelihood Statistics
Kim, Kevin H. – Structural Equation Modeling, 2005
The relation among fit indexes, power, and sample size in structural equation modeling is examined. The noncentrality parameter is required to compute power. The 2 existing methods of computing power have estimated the noncentrality parameter by specifying an alternative hypothesis or alternative fit. These methods cannot be implemented easily and…
Descriptors: Structural Equation Models, Sample Size, Goodness of Fit
McDonald, Roderick P. – Multivariate Behavioral Research, 2004
Conventional structural equation modeling fits a covariance structure implied by the equations of the model. This treatment of the model often gives misleading results because overall goodness of fit tests do not focus on the specific constraints implied by the model. An alternative treatment arising from Pearl's directed acyclic graph theory…
Descriptors: Equations (Mathematics), Goodness of Fit, Structural Equation Models
Olsen, Joseph A.; Kenny, David A. – Psychological Methods, 2006
Structural equation modeling (SEM) can be adapted in a relatively straightforward fashion to analyze data from interchangeable dyads (i.e., dyads in which the 2 members cannot be differentiated). The authors describe a general strategy for SEM model estimation, comparison, and fit assessment that can be used with either dyad-level or pairwise…
Descriptors: Structural Equation Models, Data Analysis, Models, Factor Analysis
Fanti, Kostas A.; Henrich, Christopher C.; Brookmeyer, Kathryn A.; Kuperminc, Gabriel P. – Journal of Early Adolescence, 2008
The present study includes externalizing problems, internalizing problems, mother-adolescent relationship quality, and father-adolescent relationship quality in the same structural equation model and tests the longitudinal reciprocal association among all four variables over a 1-year period. A transactional model in which adolescents'…
Descriptors: Marital Status, Mothers, Fathers, Structural Equation Models
Roman, Sergio; Cuestas, Pedro J.; Fenollar, Pedro – Studies in Higher Education, 2008
The current research represents an initial step into the analysis of the effect of self-esteem, others' (peers and teachers) expectations and family support on academic achievement through learning approaches (deep processing, surface processing and effort). Data were gathered from 553 university students from different faculties of a Spanish…
Descriptors: Structural Equation Models, Family Programs, Academic Achievement, Self Esteem
Newby, Michael; Marcoulides, Laura D. – International Journal of Educational Management, 2008
Purpose: The purpose of this paper is to model the relationship between student performance, student attitudes, and computer laboratory environments. Design/methodology/approach: Data were collected from 234 college students enrolled in courses that involved the use of a computer to solve problems and provided the laboratory experience by means of…
Descriptors: Student Attitudes, Structural Equation Models, Computer Attitudes, Educational Administration
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
Museus, Samuel D.; Nichols, Andrew H.; Lambert, Amber D. – Review of Higher Education, 2008
Racial minority student persistence is of paramount importance to higher education policymakers and practitioners. This study was aimed at understanding racial differences in the direct and indirect effects of campus racial climate on degree completion using structural equation modeling techniques and a nationally representative sample. The…
Descriptors: Academic Persistence, College Students, Minority Groups, Higher Education
Ramchand, Rajeev; Marshall, Grant N.; Schell, Terry L.; Jaycox, Lisa H. – Journal of Consulting and Clinical Psychology, 2008
This study examines the cross-lagged relationships between posttraumatic distress symptoms and physical functioning, using a sample of 413 persons who were hospitalized for injuries resulting from community violence. Posttraumatic distress was assessed at 1 week, 3 months, and 12 months postinjury, and posttraumatic physical functioning was…
Descriptors: Structural Equation Models, Injuries, Mental Health, Posttraumatic Stress Disorder
Utsey, Shawn O.; Giesbrecht, Norman; Hook, Joshua; Stanard, Pia M. – Journal of Counseling Psychology, 2008
This study tested a sociocultural model of stress and coping in a sample of 215 African Americans. Psychological resources (optimism, ego resilience) were modeled as a "nested self" (S. E. Hobfoll, 2001), supported by social resources (family adaptability and cohesion) and cultural resources (racial pride, religiosity). Race-related stress was a…
Descriptors: Stress Variables, Racial Attitudes, Structural Equation Models, Psychologists

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