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Peer reviewedSivo, Stephen A. – Structural Equation Modeling, 2001
Discusses the propriety and practical advantages of specifying multivariate time series models in the context of structural equation modeling for time series and longitudinal panel data. For time series data, the multiple indicator model specification improves on classical time series analysis. For panel data, the multiple indicator model…
Descriptors: Longitudinal Studies, Multivariate Analysis, Structural Equation Models
Peer reviewedRaykov, Tenko; Marcoulides, George A. – Structural Equation Modeling, 2001
Outlines a covariance structure analysis approach to the study of parameter trends. Uses the program RAMONA to illustrate the method by fitting a corresponding confirmatory factor analysis model to correlational data from a study involving several psychometric tests and fluid intelligence tasks. (SLD)
Descriptors: Ability, Measures (Individuals), Psychometrics, Structural Equation Models
Peer reviewedWendorf, Craig A. – Structural Equation Modeling, 2002
Compares two statistical approaches for the analysis of data obtained from married couples. Summarizes a current multilevel (or hierarchical) model that has demonstrated usefulness in marital research and respecifies this model into a more familiar structural equation modeling formulation. (SLD)
Descriptors: Data Analysis, Marriage, Spouses, Structural Equation Models
Peer reviewedHancock, Gregory R.; Nevitt, Jonathan – Structural Equation Modeling, 1999
Explains why, when one is using a bootstrapping approach for generating empirical standard errors for parameters of interest, the researchers must choose to fix an indicator path rather than the latent variable variance for the empirical standard errors to be generated properly. (SLD)
Descriptors: Error of Measurement, Identification, Structural Equation Models
Yuan, Ke-Hai – Multivariate Behavioral Research, 2005
Model evaluation is one of the most important aspects of structural equation modeling (SEM). Many model fit indices have been developed. It is not an exaggeration to say that nearly every publication using the SEM methodology has reported at least one fit index. Most fit indices are defined through test statistics. Studies and interpretation of…
Descriptors: Statistics, Structural Equation Models, Goodness of Fit
Rovine, Michael J.; Molenaar, Peter C. M. – Multivariate Behavioral Research, 2005
In this article we show the one-factor model can be rewritten as a quasi-simplex model. Using this result along with addition theorems from time series analysis, we describe a common general model, the nonstationary autoregressive moving average (NARMA) model, that includes as a special case, any latent variable model with continuous indicators…
Descriptors: Revision (Written Composition), Genetics, Structural Equation Models
Aberg-Bengtsson, Lisbeth – Scandinavian Journal of Educational Research, 2005
The aim of the present study was to further investigate the properties of a "quantitative" factor previously identified in the "diagrams, tables and maps" subtest of SweSAT. The analyses were carried out with a structural equation modelling technique on the spring 1991 version of SweSAT with 19-year-old test takers and were…
Descriptors: Aptitude Tests, Academic Aptitude, Structural Equation Models
Maydeu-Olivares, Albert; Coffman, Donna L. – Psychological Methods, 2006
The common factor model assumes that the linear coefficients (intercepts and factor loadings) linking the observed variables to the latent factors are fixed coefficients (i.e., common for all participants). When the observed variables are participants' observed responses to stimuli, such as their responses to the items of a questionnaire, the …
Descriptors: Factor Analysis, Structural Equation Models, Item Analysis
Yen, Cherng-Jyh – Quarterly Review of Distance Education, 2008
The purpose of this study was to conduct a confirmatory factor analysis of the Computer-Mediated Communication Questionnaire scores, using structural equation modeling, to assess the consistency between the empirical data and the hypothesized factor structure of the CMCQ in the proposed models, which is stipulated by the theoretical framework and…
Descriptors: Computer Mediated Communication, Questionnaires, Validity, Factor Analysis
Chen, Greg; Weikart, Lynne A. – Journal of School Violence, 2008
This study develops and tests a school disorder and student achievement model based upon the school climate framework. The model was fitted to 212 New York City middle schools using the Structural Equations Modeling Analysis method. The analysis shows that the model fits the data well based upon test statistics and goodness of fit indices. The…
Descriptors: Middle Schools, Poverty, School Culture, Academic Achievement
Girard, Todd A.; Christensen, Bruce K. – Psychological Assessment, 2008
The correlation between a short-form (SF) test and its full-scale (FS) counterpart is a mainstay in the evaluation of SF validity. However, in correcting for overlapping error variance in this measure, investigators have overattenuated the validity coefficient through an intuitive misapplication of P. Levy's (1967) formula. The authors of the…
Descriptors: Error of Measurement, Computation, Psychiatric Services, Correlation
Sorlie, Mari-Anne; Hagen, Kristine Amlund; Ogden, Terje – Journal of Research on Adolescence, 2008
The degree of continuity and distinctiveness in social competence and antisocial behavior was examined in a longitudinal structural equation model. Participants were 391 typically developing Norwegian middle school students (51% boys), their parents, and teachers and were assessed when they were approximately 13 years of age (a school cohort in…
Descriptors: Antisocial Behavior, Prevention, Early Adolescents, Grade 8
Rice, Eric; Stein, Judith A.; Milburn, Norweeta – Journal of Adolescence, 2008
The impact of countervailing social network influences (i.e., pro-social, anti-social or HIV risk peers) on problem behaviors (i.e., HIV drug risk, HIV sex risk or anti-social behaviors) among 696 homeless youth was assessed using structural equation modeling. Results revealed that older youth were less likely to report having pro-social peers and…
Descriptors: Homeless People, Social Behavior, Structural Equation Models, Sexually Transmitted Diseases
Vautier, Stephane; Bonnefon, Jean-Francois – Applied Psychological Measurement, 2008
Individuals routinely rate themselves higher than their peers on a number of attributes and capabilities, including their satisfaction with life. However, the construct validity of this above-average effect requires specific psychometric properties of ratings of one's contentment and ratings of others' perceived contentment. This article tests…
Descriptors: Life Satisfaction, Research Methodology, Construct Validity, Psychometrics
Kunter, Mareike; Tsai, Yi-Miau; Klusmann, Uta; Brunner, Martin; Krauss, Stefan; Baumert, Jurgen – Learning and Instruction, 2008
This article investigates teacher enthusiasm and how it relates to instructional behaviours. We distinguished teachers' enthusiasm for the subject matter of mathematics from their enthusiasm for teaching mathematics. A total of 323 teachers and their 9th-grade classes participated in the study. Questionnaires were used to assess teachers'…
Descriptors: Structural Equation Models, Mathematics Teachers, Mathematics Instruction, Teacher Motivation

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