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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
Powell, Daisy; Stainthorp, Rhona; Stuart, Morag; Garwood, Holly; Quinlan, Philip – Journal of Experimental Child Psychology, 2007
Two studies investigated the degree to which the relationship between rapid automatized naming (RAN) performance and reading development is driven by shared phonological processes. Study 1 assessed RAN, phonological awareness, and reading performance in 1010 7- to 10-year-olds. Results showed that RAN deficits occurred in the absence of…
Descriptors: Program Effectiveness, Phonology, Structural Equation Models, Reading Skills
Willoughby, Michael; Vandergrift, Nathan; Blair, Clancy; Granger, Douglas A. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
This study introduces a novel application of structural equation modeling (SEM) for the analysis of cortisol data that are collected using a pre-post-post design. By way of an extended example, an SEM model is developed that permits an examination of both the overall level of cortisol, as well as changes in cortisol (reactivity and regulation), as…
Descriptors: Disadvantaged Youth, Structural Equation Models, Cognitive Ability, Preschool Children
Frenzel, Anne C.; Goetz, Thomas; Ludtke, Oliver; Pekrun, Reinhard; Sutton, Rosemary E. – Journal of Educational Psychology, 2009
In this study, the authors examined the relationship between teacher and student enjoyment. Based on social-cognitive approaches to emotions, they hypothesized (a) that teacher enjoyment and student enjoyment within classrooms are positively linked and (b) that teacher enthusiasm mediates the relationship between teacher and student enjoyment.…
Descriptors: Middle School Students, Student Attitudes, Structural Equation Models, Grade 7
Borja, Susan E.; Callahan, Jennifer L. – Journal of Child Sexual Abuse, 2009
This investigation sought to operationalize a comprehensive theoretical model, the Trauma Outcome Process Assessment, and test it empirically with structural equation modeling. The Trauma Outcome Process Assessment reflects a robust body of research and incorporates known ecological factors (e.g., family dynamics, social support) to explain…
Descriptors: Structural Equation Models, Depression (Psychology), Family Relationship, Social Support Groups
Marsh, Herbert W.; Ludtke, Oliver; Trautwein, Ulrich; Morin, Alexandre J. S. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
In this investigation, we used a classic latent profile analysis (LPA), a person-centered approach, to identify groups of students who had similar profiles for multiple dimensions of academic self-concept (ASC) and related these LPA groups to a diverse set of correlates. Consistent with a priori predictions, we identified 5 LPA groups representing…
Descriptors: Structural Equation Models, Goodness of Fit, Profiles, Prediction
Park, Sung Youl – Educational Technology & Society, 2009
Many universities implement e-learning for various reasons. It is obvious that the number of e-learning opportunities provided by higher educational institutes continues to grow in Korea. Yet little research has been done to verify the process of how university students adopt and use e-learning. A sample of 628 university students took part in the…
Descriptors: Electronic Learning, Structural Equation Models, Self Efficacy, Intention
Ayer, Lynsay; Althoff, Robert; Ivanova, Masha; Rettew, David; Waxler, Ellen; Sulman, Julie; Hudziak, James – Journal of Child Psychology and Psychiatry, 2009
Background: The Child Behavior Checklist Juvenile Bipolar Disorder (CBCL-JBD) profile and Posttraumatic Stress Problems (CBCL-PTSP) scale have been used to assess juvenile bipolar disorder (JBD) and posttraumatic stress disorder (PTSD), respectively. However, their validity is questionable according to previous research. Both measures are…
Descriptors: Check Lists, Behavior Problems, Structural Equation Models, Posttraumatic Stress Disorder
Frost, David M.; Meyer, Ilan H. – Journal of Counseling Psychology, 2009
The authors examined the associations between internalized homophobia, outness, community connectedness, depressive symptoms, and relationship quality among a diverse community sample of 396 lesbian, gay, and bisexual (LGB) individuals. Structural equation models showed that internalized homophobia was associated with greater relationship problems…
Descriptors: Structural Equation Models, Homosexuality, Depression (Psychology), Social Bias