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Ding, Cody S.; Davison, Mark L.; Petersen, Anne C. – Journal of Educational Measurement, 2005
Latent growth curve modeling provides a powerful and flexible tool for researchers to study individual differences in change as well as the correlates and predictors of change. Recent developments in estimation and hypothesis testing procedures are largely based on confirmatory structural equation approaches. In this article, an alternative…
Descriptors: Pattern Recognition, Multidimensional Scaling, Hypothesis Testing, Individual Differences
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Mattanah, Jonathan F.; Hancock, Gregory R.; Brand, Bethany L. – Journal of Counseling Psychology, 2004
Secure parental attachment and healthy levels of separation-individuation have been consistently linked to greater college student adjustment. The present study proposes that the relation between parental attachment and college adjustment is mediated by healthy separation-individuation. The authors gathered data on maternal and paternal…
Descriptors: College Students, Structural Equation Models, Adolescent Development, Student Adjustment
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Wei, Meifen; Vogel, David L.; Ku, Tsun-Yao; Zakalik, Robyn A. – Journal of Counseling Psychology, 2005
This study examined the mediating role of affect regulation among attachment, negative mood, and interpersonal problems. Participants were 229 college students at a large midwest university. Structural equation modeling indicated attachment anxiety and avoidance contributed to negative mood and interpersonal problems through different and distinct…
Descriptors: Structural Equation Models, Anxiety, Parent Child Relationship, Interpersonal Competence
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Coffman, Donna L.; MacCallum, Robert C. – Multivariate Behavioral Research, 2005
The biasing effects of measurement error in path analysis models can be overcome by the use of latent variable models. In cases where path analysis is used in practice, it is often possible to use parcels as indicators of a latent variable. The purpose of the current study was to compare latent variable models in which parcels were used as…
Descriptors: Measurement, Error of Measurement, Path Analysis, Structural Equation Models
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Stapleton, Laura M.; Leite, Walter L. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
With increases in the use of structural equation modeling (SEM) in the social sciences, graduate course offerings in this statistical technique can be expected to increase. Knowledge of the content of current SEM course offerings may provide ideas to instructors developing new courses or enhancing current courses. This article discusses results…
Descriptors: Course Descriptions, Course Content, Social Sciences, Structural Equation Models
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Glockner-Rist, Angelika; Hoijtink, Herbert – Structural Equation Modeling: A Multidisciplinary Journal, 2003
Both structural equation modeling (SEM) and item response theory (IRT) can be used for factor analysis of dichotomous item responses. In this case, the measurement models of both approaches are formally equivalent. They were refined within and across different disciplines, and make complementary contributions to central measurement problems…
Descriptors: Social Science Research, Measurement Techniques, Social Sciences, Item Response Theory
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Mancini, Jay A.; Marek, Lydia I. – Family Relations, 2004
A conceptual model for evaluating community-based program sustainability is presented, along with a 53-item Program Sustainability Index (PSI). Structural equation modeling (SEM) and principal axis factor analysis indicate strong support for each of the seven elements of the PSI. When considered as an overall model, six of the seven framework…
Descriptors: Community Education, Factor Analysis, Structural Equation Models, Family Programs
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Johnson, Lee Michael; Simons, Ronald L.; Conger, Rand D. – Youth & Society, 2004
Studies of criminal careers reveal several possible factors associated with persistent offending. This analysis examines the part that criminal justice system involvement plays in persistent offending. Seven waves of data collected on 153 boys as part of the Iowa Youth and Families Project were used to test a structural equation model…
Descriptors: Juvenile Justice, Youth, Delinquency, Males
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van der Veen, Ineke; Jong, Uulkje De; Leeuwen, Marko Van; Korteweg, Jaap Anne – Studies in Higher Education, 2005
Higher education students interest in their subject has been found to clearly decrease during the first year of their studies in the Netherlands. This decrease is much smaller for students in the second year, and even turns into an increase in higher years. The loss of interest after enrolment in higher education has also been found in…
Descriptors: Foreign Countries, Higher Education, Secondary Education, Professional Education
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Heidgerken, Amanda D.; Hughes, Jan N.; Cavell, Timothy A.; Willson, Victor L. – Journal of Clinical Child and Adolescent Psychology, 2004
This study tested a dual-mediation model of the relations among harsh parenting, hostile social information processing, and level of child aggression in a sample of 239 (150 male, 89 female) 2nd- to 4th-grade children. The theoretical model posited that harsh parenting has both direct and indirect effects on child level of aggression, with the…
Descriptors: Child Rearing, Structural Equation Models, Goal Orientation, Social Cognition
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Denney, Colin B.; Rapport, Mark D.; Chung, Kyong-Mee – Journal of Child Psychology and Psychiatry, 2005
Background: Contemporary models of working memory suggest that target paradigm (TP) and target density (TD) should interact as influences on error rates derived from continuous performance tests (CPTs). The present study evaluated this hypothesis empirically in a typically developing, ethnically diverse sample of children. The extent to which…
Descriptors: Intelligence, Structural Equation Models, Models, Performance Tests
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Ogasawara, Haruhiko – Psychometrika, 2004
Formulas for the asymptotic biases of the parameter estimates in structural equation models are provided in the case of the Wishart maximum likelihood estimation for normally and nonnormally distributed variables. When multivariate normality is satisfied, considerable simplification is obtained for the models of unstandardized variables. Formulas…
Descriptors: Evaluation Methods, Bias, Factor Analysis, Structural Equation Models
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Rosser, Vicki J. – Research in Higher Education, 2005
In this study, a two-group structural equation model was proposed and tested to investigate the change in faculty members' perceptions of their worklife and satisfaction over time. Using the National Study of Postsecondary Faculty [i.e., NSOPF:93-99, National Center for Educational Statistics, US Department of Education, National Study of…
Descriptors: College Faculty, Structural Equation Models, Construct Validity, Teacher Attitudes
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Fredrickson, Barbara L.; Losada, Marcial F. – American Psychologist, 2005
Extending B. L. Fredrickson's (1998) broaden-and-build theory of positive emotions and M. Losada's (1999) nonlinear dynamics model of team performance, the authors predict that a ratio of positive to negative affect at or above 2.9 will characterize individuals in flourishing mental health. Participants (N=188) completed an initial survey to…
Descriptors: Mental Health, Affective Behavior, Psychological Patterns, Structural Equation Models
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Vogel, David L.; Wei, Meifen – Journal of Counseling Psychology, 2005
This study examined the mediating roles of perceived social support and psychological distress on the relationship between adult attachment and help-seeking intentions. Participants were 355 college students at a large Midwestern university. The structural equation model results indicated that attachment anxiety in individuals was positively…
Descriptors: Anxiety, College Students, Adults, Attachment Behavior
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