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Gavazzi, Stephen M.; Bostic, Jennifer M.; Lim, Ji-Young; Yarcheck, Courtney M. – Journal of Marital and Family Therapy, 2008
Faced with anywhere between one half and two thirds of its youth having a diagnosable mental illness, the identification and treatment of mental health concerns is a critically important endeavor for professionals working with youth who have contact with the juvenile justice system. In addition, the literature suggests that factors related to both…
Descriptors: Mental Health, Adolescents, Juvenile Justice, Family Influence
Williams, Jason; MacKinnon, David P. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Recent advances in testing mediation have found that certain resampling methods and tests based on the mathematical distribution of 2 normal random variables substantially outperform the traditional "z" test. However, these studies have primarily focused only on models with a single mediator and 2 component paths. To address this limitation, a…
Descriptors: Intervals, Testing, Predictor Variables, Effect Size
Josephson, Wendy L.; Proulx, Jocelyn B. – Journal of Interpersonal Violence, 2008
A structural equation model based on social cognitive theory was used to predict relationship violence from young adolescents' knowledge, self-efficacy, attitudes, and alternative conflict strategies (n = 143 male and 147 female grade 7-9 students). A direct causal effect was supported for violence-tolerant attitudes and psychologically aggressive…
Descriptors: Violence, Self Efficacy, Dating (Social), Epistemology
Hoshino, Takahiro; Shigemasu, Kazuo – Applied Psychological Measurement, 2008
The authors propose a concise formula to evaluate the standard error of the estimated latent variable score when the true values of the structural parameters are not known and must be estimated. The formula can be applied to factor scores in factor analysis or ability parameters in item response theory, without bootstrap or Markov chain Monte…
Descriptors: Monte Carlo Methods, Markov Processes, Factor Analysis, Computation
Keith, Timothy Z.; Reynolds, Matthew R.; Patel, Puja G.; Ridley, Kristen P. – Intelligence, 2008
Sex differences in the latent general and broad cognitive abilities underlying the Woodcock-Johnson Tests of Cognitive Abilities were investigated for children, youth, and adults ages 6 through 59. A developmental, multiple indicator-multiple cause, structural equation model was used to investigate sex differences in latent cognitive abilities as…
Descriptors: Females, Males, Cognitive Ability, Structural Equation Models
Guay, Frederic; Marsh, Herbert W.; Senecal, Caroline; Dowson, Martin – British Journal of Educational Psychology, 2008
Background: The literature on the determinants of academic motivation indicates that social and affective processes connected to students' interpersonal relationships are central elements in understanding students' academic motivation and other school-related outcomes. Aims: The aim of this study was to answer the following questions: Does…
Descriptors: Structural Equation Models, Late Adolescents, Student Motivation, Academic Achievement
Hatzenbuehler, Mark L.; McLaughlin, Katie A.; Nolen-Hoeksema, Susan – Journal of Child Psychology and Psychiatry, 2008
Background: Sexual minority adolescents appear to be at increased risk for internalizing disorders relative to their heterosexual peers, but there is a paucity of research explaining this elevated risk. Emotion regulation deficits are increasingly understood as important predictors of internalizing psychopathology among general samples of…
Descriptors: Structural Equation Models, Psychopathology, Adolescents, Homosexuality
Hughes, Jan N.; Luo, Wen; Kwok, Oi-Man; Loyd, Linda K. – Journal of Educational Psychology, 2008
Measures of teacher-student relationship quality (TSRQ), effortful engagement, and achievement in reading and math were collected once each year for 3 consecutive years, beginning when participants were in 1st grade, for a sample of 671 (53.1% male) academically at-risk children attending 1 of 3 school districts in Texas. In separate latent…
Descriptors: Structural Equation Models, Longitudinal Studies, Grade 1, Teacher Student Relationship
Ramsden, Paul; Prosser, Michael; Trigwell, Keith; Martin, Elaine – Learning and Instruction, 2007
The study examined associations between university teachers' experiences of academic leadership, their perceptions of a specific academic context and their approaches to teaching in a particular subject that was taught in that context. The sample consisted of 439 lecturers in Australian universities in four fields of study. Lecturers completed…
Descriptors: Teaching Methods, Learning Theories, Leadership, Structural Equation Models
Tempelaar, Dirk T.; van der Loeff, Sybrand Schim; Gijselaers, Wim H. – Statistics Education Research Journal, 2007
Recent research in statistical reasoning has focused on the developmental process in students when learning statistical reasoning skills. This study investigates statistical reasoning from the perspective of individual differences. As manifestation of heterogeneity, students' prior attitudes toward statistics, measured by the extended Survey of…
Descriptors: College Students, Student Attitudes, Statistics, Structural Equation Models
Lanza, Stephanie T.; Collins, Linda M.; Lemmon, David R.; Schafer, Joseph L. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
Latent class analysis (LCA) is a statistical method used to identify a set of discrete, mutually exclusive latent classes of individuals based on their responses to a set of observed categorical variables. In multiple-group LCA, both the measurement part and structural part of the model can vary across groups, and measurement invariance across…
Descriptors: Structural Equation Models, Syntax, Drinking, Statistical Analysis
Fan, Xitao; Sivo, Stephen A. – Multivariate Behavioral Research, 2007
The search for cut-off criteria of fit indices for model fit evaluation (e.g., Hu & Bentler, 1999) assumes that these fit indices are sensitive to model misspecification, but not to different types of models. If fit indices were sensitive to different types of models that are misspecified to the same degree, it would be very difficult to establish…
Descriptors: Structural Equation Models, Criteria, Monte Carlo Methods, Factor Analysis
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
Curran, Patrick J.; Bauer, Daniel J. – Psychological Methods, 2007
Multilevel models have come to play an increasingly important role in many areas of social science research. However, in contrast to other modeling strategies, there is currently no widely used approach for graphically diagramming multilevel models. Ideally, such diagrams would serve two functions: to provide a formal structure for deriving the…
Descriptors: Equations (Mathematics), Social Science Research, Social Sciences, Mathematical Models
Burt, S. Alexandra; McGue, Matt; Krueger, Robert F.; Iacono, William G. – Journal of Abnormal Child Psychology, 2007
Few genetically-informative studies have attempted to explicitly identify the "shared environmental" (i.e., those environmental influences that contribute to sibling similarity) factors now known to contribute to adolescent delinquency. The current study therefore examined whether the parent-child relationship served as one source of these shared…
Descriptors: Parent Child Relationship, Family Environment, Family Influence, Delinquency