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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 1416 for “"structural equation"”.
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Structural Equation Modeling of Binary Preference Data
Based on the asymptotic distribution of marginal sample proportions a family of statistics for testing sparse binary contingency tables under multinomial sampling is proposed. These statistics are used to assess the goodness of fit of Thurstonian models for binary preference data.
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Latent variable interaction in structural equation models
… hypothesis, and interaction in regression and structural equation models, were reviewed. Moderated regression was recast using latent variables to accommodate measurement error. Three methods of fitting the latent variable interaction (LVI) model were studied: (1) Factor Score Regression (FSR) …
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Structural Equation Modeling of Attitudes Toward Employment Testing
… among the latent variables were tested via structural model analysis. The results of this analysis yielded support for most of the hypotheses. General testing attitudes were found to influence specific testing attitudes. Also, testing experience was related to general testing attitudes and …
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Quantile Regression Methods for Recursive Structural Equation Models
The second essay explores the heterogeneous peer effects in Dutch primary schools by employing a series of percentiles of classmates achievement distribution as the peers outcome measurement and the quantile regression estimation method. It is found that better performance by lower attainment peers …
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Analysis of Multivariate Longitudinal Data Using Structural Equation Modeling
<p>Structural equation models represent the convergence of relatively independent research traditions in psychology, psychiatry, econometrics, and biometrics. It is a multivariate technique which combines the different statistical methodologies, such as regression analysis, simultaneous equations, …
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Probabilistic SEM : an augmentation to classical Structural equation modelling
Structural equation modelling (SEM) is carried out with the aim of testing hypotheses on the model of the researcher in a quantitative way, using the sampled data. Although SEM has developed in many aspects over the past few decades, there are still numerous advances which can make SEM an even more …
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Structural equation modeling: Predictors of verbal abuse of registered nurses
Nurses experience verbal abuse as a nearly daily occurrence in the workplace. Sources of this abuse include patients and their families, visitors, physicians, managers and peers. A non-experimental, correlational study was undertaken to examine the contribution of latent constructs, individual …
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The Teamwork Components Model: An Analysis Using Structural Equation Modeling
… who were members of various types of teams. Structural equation modeling (i.e., LISREL) provided evidence of the validity of the proposed measurement models, and the results of confirmatory and exploratory factor analyses suggested revisions to further improve the validity of the …
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The Unified Approach for Model Evaluation in Structural Equation Modeling
… been widely used for model fit evaluation in Structural Equation Modeling. This dissertation discusses the properties of the fit indices including their influencing factors. These properties prevent researchers from deriving one-size-fit-all cutoffs for the fit indices. In addition, the past …
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Peer Victimization, Student Engagement, and School Attendance: Structural Equation Models
… Colorado (<em>n</em>=860) were used to estimate structural equation models in which peer victimization types were hypothesized to have significant relationships with both student engagement and attendance. Then, student engagement and attendance variables were hypothesized to have significant …
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A Structural Equation Model of Contributing Factors to Adolescent Social Interest
The focus of the present study was to test through SEM the relationships between family influences (FI) and school influences (SI) on factors hypothesized to be associated with adolescent social interest: school belonging (SB), extracurricular participation (EP), and peer/romantic involvement …
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Understanding Public Library Services and Use: A Structural Equation Modeling Framework
… Survey and 2015 American Community Survey to a structural equation model based on a theory of action for public libraries relating operating revenue to latent factors measuring service availability and library use within the context of matched community demographic data. The process of using …
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Parental Involvement, Students' Self-Engagement, and Academic Achievement: A Structural Equation Model
… achievement by employing a sophisticated structural equation model. The findings illuminated the major dimensions of parental involvement and student self-engagement, offering insights into their stability over time and from different vantage points. The results unraveled the nuanced …
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Commitment to fathering: A structural equation model of college men's parental intentions
Previous research has examined variables such as educational level and socioeconomic status (Barnett & Baruch, 1987; Blood & Wolfe, 1960; Coverman, 1985; Crouter et al., 1987; Radin, 1981), and sex-role attitudes (Baruch & Barnett, 1981; McHale & Huston, 1984; Pleck, 1985) on parental involvement …
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The robustness of LISREL estimates in structural equation models with categorical data
… maximum likelihood and unweighted least squares structural parameter estimates for models with categorical manifest variables. Two types of correlation matrices were analyzed; one containing Pearson product-moment correlations and one containing tetrachoric, polyserial, and product-moment …
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Student Satisfaction Perceived Employability Skills, and Student Engagement: Structural Equation Modeling Analyses
… (NSSE) data (2011) was used in this study. Structural equation modeling analyses and invariance tests were employed to estimate different models of student engagement, student satisfaction, and perceived employability skills across different samples. The results found that both sense of …
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Causal Gene Network Inference from Genetical Genomics Experiments via Structural Equation Modeling
… Quantitative Trait Loci (eQTL) mapping and Structural Equation Modeling (SEM). Unlike Bayesian Networks, this approach is able to construct cyclic networks, while cyclic relationships are expected to be common in gene networks. Reconstruction of gene networks provides important knowledge …
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A latent growth curve model from the perspective of a structural equation model
… growth curve model from the perspective of a structural equation model (SEM), is provided. SEM is a collection of statistical methods used to examine the relationship between one or more independent variables and between one or more dependent variables. These variables may be both observed and …
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Web-based e-Government services acceptance for G2C: A structural equation modelling approach.
… by surveying 533 citizens and utilising the structural equation modeling technique for data analysis. Findings show that both measurement and structural models exhibit good model fit to data. The study shows that all constructs satisfy the criteria of constructs reliability and convergent and …
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