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Schweizer, Karl – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Structural equation modeling provides the framework for investigating experimental effects on the basis of variances and covariances in repeated measurements. A special type of confirmatory factor analysis as part of this framework enables the appropriate representation of the experimental effect and the separation of experimental and…
Descriptors: Structural Equation Models, Factor Analysis, Reaction Time, Scores
Willse, John T.; Goodman, Joshua T. – Educational and Psychological Measurement, 2008
This research provides a direct comparison of effect size estimates based on structural equation modeling (SEM), item response theory (IRT), and raw scores. Differences between the SEM, IRT, and raw score approaches are examined under a variety of data conditions (IRT models underlying the data, test lengths, magnitude of group differences, and…
Descriptors: Test Length, Structural Equation Models, Effect Size, Raw Scores
Hempel, Lynn M.; Bartkowski, John P. – Social Forces, 2008
Using insights from ethnographic studies of conservative Protestant congregations, the authors propose and test a refined conceptual model of theological conservatism that accounts for three key components of a theologically conservative worldview: (1. epistemology, a belief in the Bible as the inspired word of God, (2. ontology, assumptions about…
Descriptors: Structural Equation Models, Political Attitudes, Ethnography, Epistemology
Jamshidian, Mortaza; Mata, Matthew – Multivariate Behavioral Research, 2008
Incomplete or missing data is a common problem in almost all areas of empirical research. It is well known that simple and ad hoc methods such as complete case analysis or mean imputation can lead to biased and/or inefficient estimates. The method of maximum likelihood works well; however, when the missing data mechanism is not one of missing…
Descriptors: Structural Equation Models, Simulation, Factor Analysis, Research Methodology
Oberauer, Klaus; Sub, Heinz-Martin; Wilhelm, Oliver; Wittmann, Werner W. – Intelligence, 2008
Investigates the relationship between three factors of working memory (storage and processing, relational integration, and supervision) and four factors of intelligence (reasoning, speed, memory, and creativity) using structural equation models. Relational integration predicted reasoning ability at least as well as the storage-and-processing…
Descriptors: Theories, Prediction, Intelligence, Structural Equation Models
Yuan, Ke-Hai; Lu, Laura – Multivariate Behavioral Research, 2008
This article provides the theory and application of the 2-stage maximum likelihood (ML) procedure for structural equation modeling (SEM) with missing data. The validity of this procedure does not require the assumption of a normally distributed population. When the population is normally distributed and all missing data are missing at random…
Descriptors: Structural Equation Models, Validity, Data Analysis, Computation
Peer reviewedRaykov, 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
Peer reviewedKenny, 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
Peer reviewedBrown, Roger L. – Structural Equation Modeling, 1997
Reviews the use of structural equation modeling for providing an overall assessment of mediation, the mechanism that accounts for the relation between the predictor and the criterion. A strategy for supplemental details is presented that measures the magnitude of mediational effects. (SLD)
Descriptors: Computer Software, Mathematical Models, Predictor Variables, Structural Equation Models
Martens, Matthew P. – Counseling Psychologist, 2005
The four reactions in the May 2005 issue of "The Counseling Psychologist" address several considerations regarding the use of structural equation modeling (SEM) in counseling psychology research, including its appropriateness for analyzing one's data and testing one versus multiple theoretical models. In addition, points that are not mentioned in…
Descriptors: Models, Counseling Psychology, Structural Equation Models, Item Analysis
Halle, Tamara; Forry, Nicole; Hair, Elizabeth; Westbrook, T'Pring; Dwyer, Kathleen – Administration for Children & Families, 2009
This brief examines how provider training and education are related to parent- and provider-reported indicators of quality in home-based and center-based care for toddlers using data from a nationally representative sample of low-income children. The research addressed three research questions: What are the demographic characteristics that…
Descriptors: Family (Sociological Unit), Low Income Groups, Child Care, Demography
Taasoobshirazi, Gita; Carr, Martha – Journal of Educational Psychology, 2009
A model of expertise in physics was tested on a sample of 374 college students in 2 different level physics courses. Structural equation modeling was used to test hypothesized relationships among variables linked to expert performance in physics including strategy use, pictorial representation, categorization skills, and motivation, and these…
Descriptors: Structural Equation Models, Academic Achievement, Physics, Student Motivation
Mitchell, Karen S.; Mazzeo, Suzanne E. – Psychology of Women Quarterly, 2009
This study evaluated a structural equation model of objectification theory among European American (EA; n = 408) and African American women (AA; n = 233). Modeling results indicated a particularly strong association between thin-ideal internalization/body monitoring and eating disorder symptoms, with weaker relationships among body…
Descriptors: Females, Theories, Eating Disorders, Self Concept
Cole, James; Ball, Harriet A.; Martin, Neilson C.; Scourfield, Jane; McGuffin, Peter – Journal of the American Academy of Child & Adolescent Psychiatry, 2009
Objective: Evidence suggests that there is substantial comorbidity between attention-deficit/hyperactivity disorder (ADHD) and major depressive disorder in childhood and adolescence. This study aims to investigate the degree to which etiological factors are shared between the symptoms of these significantly heritable disorders. Method: A twin…
Descriptors: Evidence, Attention Deficit Hyperactivity Disorder, Twins, Females
Li, Kin-Kit; Cardinal, Bradley J.; Vuchinich, Samuel – Research Quarterly for Exercise and Sport, 2009
This study examined the effect of health worry (i.e., cognitive aspect of anxiety resulting from concern for health) on walking difficulty in a nationally representative sample (N = 7,527) of older adults (M age = 76.83 years). The study further tested whether physical activity mediates the effect of health worry on walking difficulty in a 6-year…
Descriptors: Structural Equation Models, Anxiety, Older Adults, Longitudinal Studies

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