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Lee, Jung-Wan – Internet and Higher Education, 2010
This paper examines potential differences between Korean and American students in terms of their perception levels regarding online education support service quality, online learning acceptance, and satisfaction. Eight hundred and seventy-two samples, which were collected from students in online classes in the United States and Korea, were…
Descriptors: Foreign Countries, Electronic Learning, Online Courses, Factor Analysis
Bubany, Shawn T.; Hansen, Jo-Ida C. – Measurement and Evaluation in Counseling and Development, 2010
Conceptual differences between self-efficacy and ability self-estimate scores, used in vocational psychology and career counseling, were examined with confirmatory factor analysis, discriminate relations, and reliability analysis. Results suggest that empirical differences may be due to measurement error or scale content, rather than due to the…
Descriptors: Self Efficacy, Measurement, Factor Analysis, Error of Measurement
Kaufman, Scott Barry; DeYoung, Caroline G.; Gray, Jeremy R.; Jimenez, Luis; Brown, Jamie; Mackintosh, Nicholas – Cognition, 2010
The ability to automatically and implicitly detect complex and noisy regularities in the environment is a fundamental aspect of human cognition. Despite considerable interest in implicit processes, few researchers have conceptualized implicit learning as an ability with meaningful individual differences. Instead, various researchers (e.g., Reber,…
Descriptors: Intelligence, Structural Equation Models, Associative Learning, Personality
Krishnakumar, Jaya; Nagar, A. L. – Social Indicators Research, 2008
Recent empirical literature has seen many multidimensional indices emerge as well-being or poverty measures, in particular indices derived from principal components and various latent variable models. Though such indices are being increasingly and widely employed, few studies motivate their use or report the standard errors or confidence intervals…
Descriptors: Intervals, Structural Equation Models, Factor Analysis, Computation
Hambrick, David Z.; Pink, Jeffrey E.; Meinz, Elizabeth J.; Pettibone, Jonathan C.; Oswald, Frederick L. – Intelligence, 2008
The purpose of this study was to investigate sources of inter-individual differences in current events knowledge. The study occurred in two sessions. In the initial session, 579 participants completed tests to ability, personality, and interest factors, as well as prior knowledge of current events. Approximately 10 weeks later, participants…
Descriptors: Intelligence, Current Events, Structural Equation Models, Prior Learning
Taku, Kanako; Calhoun, Lawrence G.; Cann, Arnie; Tedeschi, Richard G. – Death Studies, 2008
This study examined the relationships between rumination, distress and posttraumatic growth (PTG). Seventy-one bereaved Japanese university students completed the PTG Inventory, the Impact of Event Scale-Revised, and a rumination scale. Three models, with variables including intrusive rumination, deliberate rumination, distress, and PTG, were…
Descriptors: Structural Equation Models, Measures (Individuals), Posttraumatic Stress Disorder, Foreign Countries
Savalei, Victoria; Kolenikov, Stanislav – Psychological Methods, 2008
Recently, R. D. Stoel, F. G. Garre, C. Dolan, and G. van den Wittenboer (2006) reviewed approaches for obtaining reference mixture distributions for difference tests when a parameter is on the boundary. The authors of the present study argue that this methodology is incomplete without a discussion of when the mixtures are needed and show that they…
Descriptors: Structural Equation Models, Goodness of Fit, Evaluation Methods, Statistical Analysis
Hall, Scott S.; Burns, David D.; Lightbody, Amy A.; Reiss, Allan L. – Journal of Abnormal Child Psychology, 2008
Structural equation modeling (SEM) was used to examine the development of intellectual functioning in 145 school-age pairs of siblings. Each pair included one child with Fragile X syndrome (FXS) and one unaffected sibling. All pairs of children were evaluated on the Wechsler Intelligence Scale for Children-Third Edition (WISC-III) at time 1 and 80…
Descriptors: Intellectual Development, Siblings, Structural Equation Models, Mental Retardation
Simmons, Leigh A.; Braun, Bonnie; Charnigo, Richard; Havens, Jennifer R.; Wright, David W. – Journal of Rural Health, 2008
Context and Purpose: Depression among rural women is a major public health concern. The purpose of this study was to test the competing theories of social causation and social selection to assess the relationship between depression and economic status for a sample of rural, low-income women in the United States. Methods: Structural equation…
Descriptors: Depression (Psychology), Poverty, Rural Population, Females
Jo, Booil – Psychological Methods, 2008
This article links the structural equation modeling (SEM) approach with the principal stratification (PS) approach, both of which have been widely used to study the role of intermediate posttreatment outcomes in randomized experiments. Despite the potential benefit of such integration, the 2 approaches have been developed in parallel with little…
Descriptors: Structural Equation Models, Monte Carlo Methods, Inferences, Outcomes of Treatment
Davies, Patrick T.; Woitach, Meredith J.; Winter, Marcia A.; Cummings, E. Mark – Child Development, 2008
This study examined the role of attention difficulties as a mediator of associations between children's insecure representations of the interparental relationship and their school adjustment in a sample of two hundred and sixteen 6-year-old children. Consistent with hypotheses, findings from structural equation models indicated that observer…
Descriptors: Structural Equation Models, Attention Deficit Disorders, Student Adjustment, Role
Phan, Huy P. – British Journal of Educational Psychology, 2008
Background: Although extensive research has examined epistemological beliefs, reflective thinking and learning approaches, very few studies have looked at these three theoretical frameworks in their totality. Aims: This research tested two separate structural models of epistemological beliefs, learning approaches, reflective thinking and academic…
Descriptors: Structural Equation Models, Academic Achievement, Questionnaires, Program Effectiveness
Flora, David B.; Curran, Patrick J.; Hussong, Andrea M.; Edwards, Michael C. – Structural Equation Modeling: A Multidisciplinary Journal, 2008
A large literature emphasizes the importance of testing for measurement equivalence in scales that may be used as observed variables in structural equation modeling applications. When the same construct is measured across more than one developmental period, as in a longitudinal study, it can be especially critical to establish measurement…
Descriptors: Structural Equation Models, Item Response Theory, Measurement, Scores
Ferron, John M.; Hess, Melinda R. – Journal of Educational and Behavioral Statistics, 2007
A concrete example is used to illustrate maximum likelihood estimation of a structural equation model with two unknown parameters. The fitting function is found for the example, as are the vector of first-order partial derivatives, the matrix of second-order partial derivatives, and the estimates obtained from each iteration of the Newton-Raphson…
Descriptors: Structural Equation Models, Computation, Statistics, Visual Aids
Hayduk, Leslie A.; Robinson, Hannah Pazderka; Cummings, Greta G.; Boadu, Kwame; Verbeek, Eric L.; Perks, Thomas A. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
Researchers using structural equation modeling (SEM) aspire to learn about the world by seeking models with causal specifications that match the causal forces extant in the world. This quest for a model matching existing worldly causal forces constitutes an ontology that orients, or perhaps reorients, thinking about measurement validity. This…
Descriptors: Validity, Structural Equation Models, Reliability, Causal Models