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Showing 1 to 20 of 765 for “"Structural equation modeling"”.
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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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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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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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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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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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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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Investigating the Domain of Geometric Inductive Reasoning Problems: A Structural Equation Modeling Analysis
… from 334 Chinese students aged from 12 to 15. Structural equation modeling method was used to analyze the collected data and to evaluate the hypothesized models. Results from the analysis showed that a valid model existed to represent the construct of matrix inductive reasoning. Except for …
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Repeated Measures ANOVA with Latent Variables: A New Approach Based on Structural Equation Modeling
… addresses the aforementioned issues. It is a structural equation modeling (SEM) based approach -- as opposed to RM-ANOVA which relies on the general linear model -- and extends the latent growth components model. (1) L-RM-ANOVA enables the researcher to not only consider mean differences …
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An evaluation of parameter estimation when using multilevel structural equation modeling for mediation analysis
… data structures requires the use of multilevel modeling techniques. One such multilevel modeling technique is multilevel structural equation modeling (MLSEM). While estimation of indirect effect parameters and standard errors based on the conventional multilevel model (MMM) has been assessed, …
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Structural equation modeling compared with ordinary least squares in simulations and life insurers’ data
Structural equation model (SEM) is a general approach to analyze multivariate data. It is a relatively comprehensive model and combines useful characteristics from many statistical approaches, thus enjoys a variety of advantages when dealing complex relationships. This report gives a brief …
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Construct Validation of an Integrated -Approach EAP Placement Test Using Multi -Group Structural Equation Modeling
… multi-method (MTMM) procedures and multi-group structural equation modeling (MSEM) as the central statistical tool. A review of the statistical methodology of the MTMM procedures as a methodological contribution in literature preceded an investigation of the construct validity of the EPT. This …
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An empirical examination of an integrative theory of social behavior: Some structural equation modeling tests
… of Self-Regulation was proposed in this study. Structural models of social behavior which posited specific relations between important constructs from each of these theories were examined. Using class attendance and condom use as target behaviors, multiple items were developed to measure each of …
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Student Satisfaction, Perceived Employability Skills, and Deep Approaches to Learning: A Structural Equation Modeling Analyses
… Study of Student Engagement (NSSE) data. The Structural Equation Modeling (SEM) analysis was applied to explore the relationship between students' Deep Approaches to Learning (DAL), overall students' satisfaction and their perceived employability skills. The measurement invariance testing …
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Life Event Perception: A Structural Equation Modeling Approach To The Antecedents Of The Life Stress Response
… attempts to integrate these findings by testing structural models of the relationship between life events, life stress, and general health while considering the appraisal process and other potential moderators of appraisal and general health. University students (N=204) were tested using 17 …
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AN EMPIRICAL TEST OF A COGNITIVE MODEL OF PTSD USING PATH ANALYSIS AND STRUCTURAL EQUATION MODELING
… symptom maintenance using path analysis and structural equation modeling (SEM). Ehlers and Clark's model suggests that a reciprocal relationship between cognitive appraisals of the traumatic event and characteristics of the trauma memory maintain symptoms by increasing one's sense of current …
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