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Usluel, Yasemin Kocak; Askar, Petek; Bas, Turgay – Educational Technology & Society, 2008
This study focuses on Information and Communication Technologies (ICT) usage, which is the indicator of diffusion. A model composed of the variables which can explain ICT usage in Turkish higher education is established and tested within the study. The two dimensions of ICT usage are considered: instructional and managerial. The data collected…
Descriptors: Foreign Countries, Internet, College Faculty, Information Technology
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Chamorro-Premuzic, Tomas; Ahmetoglu, Gorkan; Furnham, Adrian – Learning and Individual Differences, 2008
This study attempted a hierarchical integration of several dispositional determinants of test anxiety (TA) [Sarason, I.G. (1984). "Stress, anxiety and cognitive interference: Reactions to tests." "Journal of Personality and Social Psychology," 46, 929-938.], namely the Big Five personality traits [Costa, P.T. Jr., & McCrae,…
Descriptors: Personality Traits, Individual Differences, Psychological Evaluation, Structural Equation Models
Nichols, Shirley J. – ProQuest LLC, 2009
The purpose of this quantitative correlational research study was to investigate, describe, and measure factors influencing retention of nontraditional first and second year students at a university located in the Midwestern United States. Retention of adult students has become a major issue for many institutions of higher education and many…
Descriptors: Structural Equation Models, Intention, Statistical Analysis, School Holding Power
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Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2009
This paper examines the estimation of two-stage clustered RCT designs in education research using the Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and control group outcomes are considered to be fixed for the study population (the…
Descriptors: Control Groups, Causal Models, Statistical Significance, Computation
Ulrich, Jana Wellman – ProQuest LLC, 2009
A growing number of demographically diverse, globally-conscious students demand instant access and flexibility when it comes to formal learning. Institutions of higher education are hard pressed to respond, and often cling to old delivery methods and pedagogy. Learner-directed use of Web 2.0 applications to locate, organize, and evidence…
Descriptors: Instructional Design, Structural Equation Models, Colleges, Online Courses
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Theran, Sally A. – Journal of Youth and Adolescence, 2009
The current study empirically examined predictors of level of voice (ethnicity, attachment, and gender role socialization) in a diverse sample of 108 14-year-old girls. Structural equation modeling results indicated that parental attachment predicted level of voice with authority figures, and gender role socialization predicted level of voice with…
Descriptors: Ethnicity, Socialization, Females, Structural Equation Models
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Duchesne, Stephane; Ratelle, Catherine F.; Poitras, Sarah-Caroline; Drouin, Evelyne – Journal of Early Adolescence, 2009
This study examines how attachment to mother and father predicts worries about academic demands and relationships with teachers generated by the transition from elementary to middle school through its contribution to adolescents' emotional problems (depression and anxiety). The study sample includes 626 young adolescents (289 boys and 337 girls)…
Descriptors: Emotional Problems, Middle Schools, Mothers, Structural Equation Models
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
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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
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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
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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
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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
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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
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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
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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
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