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Su, C. Y.; Chen, C. C.; Wuang, Y. P.; Lin, Y. H.; Wu, Y. Y. – Journal of Intellectual Disability Research, 2008
Background: Very little is known about the neuropsychological correlates of adaptive functioning in people with intellectual disabilities (ID). This study examined whether specific cognitive deficits and demographic variables predicted everyday functioning in adults with ID. Method: People with ID (n = 101; ages 19-41 years; mean education = 11…
Descriptors: Employment Level, Independent Living, Visual Perception, Models
Puolakanaho, Anne; Ahonen, Timo; Aro, Mikko; Eklund, Kenneth; Leppanen, Paavo H. T.; Poikkeus, Anna-Maija; Tolvanen, Asko; Torppa, Minna; Lyytinen, Heikki – Journal of Learning Disabilities, 2008
The authors examined second grade reading accuracy and fluency and their associations via letter knowledge to phonological and language predictors assessed at 3.5, 4.5, and 5.5 years in children in the Jyvaskyla Longitudinal Study of Dyslexia. Structural equation modeling showed that a developmentally highly stable factor (early phonological and…
Descriptors: Reading Difficulties, Reading Fluency, Structural Equation Models, Dyslexia
Quinlan, Elizabeth – International Journal of Lifelong Education, 2008
The prevailing discourse informing most Canadian training and labor market policy assumes a positive link between individuals' training and their labor market returns in the new knowledge economy. The primary objective of the study is to test the current rhetoric by developing a statistical model of women's job-related training. Training…
Descriptors: Human Capital, Structural Equation Models, Education Work Relationship, Foreign Countries
Sass, Daniel A.; Smith, Philip L. – Structural Equation Modeling: A Multidisciplinary Journal, 2006
Structural equation modeling allows several methods of estimating the disattenuated association between 2 or more latent variables (i.e., the measurement model). In one common approach, measurement models are specified using item parcels as indicators of latent constructs. Item parcels versus original items are often used as indicators in these…
Descriptors: Structural Equation Models, Item Analysis, Error of Measurement, Measures (Individuals)
Kolden, Gregory G.; Chisholm-Stockard, Sarah M.; Strauman, Timothy J.; Tierney, Sandy C.; Mullen, Elizabeth A.; Schneider, Kristin L. – Journal of Consulting and Clinical Psychology, 2006
The authors used structural equation modeling to investigate universal change processes identified in the generic model of psychotherapy (GMP). Three path models of increasing complexity were examined in Study 1 in dynamic therapy. The best fitting model from Study one was replicated in Study two for participants receiving either cognitive or…
Descriptors: Psychotherapy, Structural Equation Models, Cognitive Restructuring, Path Analysis
Byrne, Barbara M.; Stewart, Sunita M. – Structural Equation Modeling: A Multidisciplinary Journal, 2006
The overarching intent of this article is to exemplify strategies associated with tests for measurement invariance that are uncommonly applied and reported in the extant literature. Designed within a pedagogical framework, the primary purposes are 3-fold and illustrate (a) tests for measurement invariance based on the analysis of means and…
Descriptors: Factor Structure, Item Response Theory, Testing, Statistical Analysis
Bailey, Jennifer A.; Hill, Karl G.; Oesterle, Sabrina; Hawkins, J. David – Journal of Abnormal Child Psychology, 2006
This study examined patterns of between-generation continuity in substance use from generation 1 (G1) parents to generation 2 (G2) adolescents and from G2 adult substance use and G1 substance use to generation 3 (G3) problem behavior in childhood. Structural equation modeling of prospective, longitudinal data from 808 participants, their parents,…
Descriptors: Behavior Problems, Structural Equation Models, Drug Use, Early Adolescents
Shore, Wendy; Katt, James; Lee, Cheng-Yuan; Rasmus, Scott; Saenz, Karen; Speranza, Linda; Witta, E. Lea – 2002
An existing large data set, the Health and Retirement Study 2000 (HRS 2000) was used to explore the relationship between cognition and other factors for individuals aged 65 and older, with a final sample of 1,610 males and 3,549 females. Using structural equation modeling, the entire model was tested to determine if there were differences in how…
Descriptors: Cognitive Processes, Older Adults, Sex Differences, Structural Equation Models
The Equal Correlation Baseline Model for Comparative Fit Assessment in Structural Equation Modeling.

Rigdon, Edward E. – Structural Equation Modeling, 1998
An alternative baseline model for comparative fit assessment of structural equation models is described, evaluated, and compared to the standard "null" baseline model. The new "equal correlation" model constrains all variables to have equal, rather than zero, correlations, but all variances are free. Advantages and limitations…
Descriptors: Comparative Analysis, Correlation, Goodness of Fit, Structural Equation Models

Marsh, Herbert W. – Structural Equation Modeling, 1998
Discusses concerns with the model proposed by E. Rigdon for computing incremental fit indices in which all measured variables are equally correlated (as opposed to the traditional null model). Proposes retaining the traditional null model with emphasis on the comparative fit of alternative models within a nested sequence that could include the new…
Descriptors: Comparative Analysis, Correlation, Goodness of Fit, Structural Equation Models

Raykov, Tenko – Multivariate Behavioral Research, 1997
It is shown that, for equivalent structural equation models that have been extended to multigroup models, imposing cross-group equality constraints on no parameters, all parameters, or any number of parameters for which the models are identical preserves the model equivalence property. Results are illustrated with two-group cognitive intervention…
Descriptors: Cognitive Psychology, Groups, Intervention, Mathematical Models

Kenny, David A.; McCoach, D. Betsy – Structural Equation Modeling, 2003
Used three approaches to understand the effect of the number of variables in the model on model fit in structural equation modeling through computer simulation. Developed a simple formula for the theoretical value of the comparative fit index. (SLD)
Descriptors: Computer Simulation, Goodness of Fit, Models, Structural Equation Models

Lee, Sik-Yum; Song, Xin-Yuan – Psychometrika, 2003
Proposed a new nonlinear structural equation model with fixed covariates to deal with some complicated substantive theory and developed a Bayesian path sampling procedure for model comparison. Illustrated the approach with an illustrative example using data from an international study. (SLD)
Descriptors: Bayesian Statistics, Comparative Analysis, Sampling, Structural Equation Models

Raykov, Tenko – Structural Equation Modeling, 1997
Structural equation modeling is used in the simultaneous study of individual and group latent change patterns on several longitudinally assessed variables. The approach, which is based on a special case of the comprehensive latent curve analysis of W. Meredith and J. Tisak (1990), is illustrated with a two-group study. (SLD)
Descriptors: Change, Groups, Individual Differences, Longitudinal Studies

Hancock, Gregory R. – Educational and Psychological Measurement, 1997
Methods are offered for conducting hypothesis testing associated with disattenuated validity coefficients to overcome limitations of some other suggested approaches. Through using classical test theory's notion of reliability in the form of structured path models, such hypothesis testing may be done with hierarchically related structural equation…
Descriptors: Correlation, Hypothesis Testing, Reliability, Scores