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Raykov, Tenko; Amemiya, Yasuo – Structural Equation Modeling: A Multidisciplinary Journal, 2008
A structural equation modeling method for examining time-invariance of variable specificity in longitudinal studies with multiple measures is outlined, which is developed within a confirmatory factor-analytic framework. The approach represents a likelihood ratio test for the hypothesis of stability in the specificity part of the residual term…
Descriptors: Structural Equation Models, Longitudinal Studies, Computation, Time
McKown, Clark; Gumbiner, Laura M.; Russo, Nicole M.; Lipton, Meryl – Journal of Clinical Child and Adolescent Psychology, 2009
Social-emotional learning (SEL) skill includes the ability to encode, interpret, and reason about social and emotional information. In two related studies, we examined the relationship between children's SEL skill, their ability to regulate their own behavior, and the competence of their social interactions. Study 1 included 158 typically…
Descriptors: Skills, Social Cognition, Emotional Intelligence, Interpersonal Competence
Dorman, Jeffrey P.; Fraser, Barry J. – Social Psychology of Education: An International Journal, 2009
Research investigated classroom environment antecedent variables and student affective outcomes in Australian high schools. The Technology-Rich Outcomes-Focused Learning Environment Inventory (TROFLEI) was used to assess 10 classroom environment dimensions: student cohesiveness, teacher support, involvement, investigation, task orientation,…
Descriptors: Student Attitudes, Structural Equation Models, Outcomes of Education, Computer Uses in Education
Samuels, Dena Renee – ProQuest LLC, 2010
Faculty members play a significant role in retaining diverse students, faculty, and staff on a college campus based on how culturally inclusive their behavior is. This research elucidates the development of a faculty inclusiveness survey, and tests it on a national random sample of 637 faculty members to determine how prepared they are to build…
Descriptors: Structural Equation Models, Negative Attitudes, Intention, Faculty Development
Zientek, Linda Reichwein; Thompson, Bruce – Educational Researcher, 2009
Correlation matrices and standard deviations are the building blocks of many of the commonly conducted analyses in published research, and AERA and APA reporting standards recommend their inclusion when reporting research results. The authors argue that the inclusion of correlation/covariance matrices, standard deviations, and means can enhance…
Descriptors: Effect Size, Correlation, Researchers, Multivariate Analysis
Marsh, Herbert W.; Nagengast, Benjamin; Morin, Alexandre J. S.; Parada, Roberto H.; Craven, Rhonda G.; Hamilton, Linda R. – Journal of Educational Psychology, 2011
Existing research posits multiple dimensions of bullying and victimization but has not identified well-differentiated facets of these constructs that meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors that are not so highly correlated as to detract…
Descriptors: Locus of Control, Test Bias, Bullying, Structural Equation Models
Archambault, Isabelle; Janosz, Michel; Fallu, Jean-Sebastien; Pagani, Linda S. – Journal of Adolescence, 2009
Although the concept of school engagement figures prominently in most school dropout theories, there has been little empirical research conducted on its nature and course and, more importantly, the association with dropout. Information on the natural development of school engagement would greatly benefit those interested in preventing student…
Descriptors: Structural Equation Models, Dropouts, At Risk Persons, Factor Analysis
Lively, Kathryn – Social Forces, 2008
Recent studies suggest that gender may be less influential on the experience of emotion than originally believed. Most of these studies, however, have focused almost exclusively on gender differences in discrete emotional experiences, paying less attention to the ways in which emotions may co-occur within a relatively short period. Using the…
Descriptors: Females, Emotional Response, Gender Differences, Males
Goddard, Roger D.; LoGerfo, Laura F. – Educational and Psychological Measurement, 2007
This article presents a theoretical rationale and empirical evidence regarding the validity of scores obtained from two competing approaches to operationalizing scale items to measure emergent organizational properties. The authors consider whether items in scales intended to measure organizational properties should prompt survey takers to provide…
Descriptors: Group Dynamics, Structural Equation Models, Factor Analysis, Predictive Validity
Jackson, Dennis L. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
Some authors have suggested that sample size in covariance structure modeling should be considered in the context of how many parameters are to be estimated (e.g., Kline, 2005). Previous research has examined the effect of varying sample size relative to the number of parameters being estimated (N:q). Although some support has been found for this…
Descriptors: Sample Size, Factor Analysis, Structural Equation Models, Goodness of Fit
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
Leerkes, Esther M.; Paradise, Matthew; O'Brien, Marion; Calkins, Susan D.; Lange, Garrett – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2008
The core processes of emotion understanding, emotion control, cognitive understanding, and cognitive control and their association with early indicators of social and academic success were examined in a sample of 141 3-year-old children. Confirmatory factor analysis supported the hypothesized four-factor model of emotion and cognition in early…
Descriptors: Futures (of Society), Academic Achievement, Factor Analysis, Emotional Development
Hoshino, Takahiro; Shigemasu, Kazuo – Applied Psychological Measurement, 2008
The authors propose a concise formula to evaluate the standard error of the estimated latent variable score when the true values of the structural parameters are not known and must be estimated. The formula can be applied to factor scores in factor analysis or ability parameters in item response theory, without bootstrap or Markov chain Monte…
Descriptors: Monte Carlo Methods, Markov Processes, Factor Analysis, Computation
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
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

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