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Showing 1 to 20 of 68 for “"Structural equation models"”.
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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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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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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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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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Linear Structural Equation Models for Intention and Achievement in Mathematics: A Study of Sims Student Data
… taking more math classes, and achievement. Two models were suggested to investigate (a) students' intention to do well in mathematics, and (b) achievement in mathematics. The result of the first model indicated that the major determinants of students' participation in math classes and intention …
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Multiple Imputation of Missing Data in Structural Equation Models with Mediators and Moderators Using Gradient Boosted Machine Learning
<p>Mediation and moderated mediation models are two commonly used models for indirect effects analysis. In practice, missing data is a pervasive problem in structural equation modeling with psychological data. Multiple imputation (MI) is one method used to estimate model parameters in the presence …
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Structural Equation Models Examining the Relationships Between the Big Five Personality Factors and the Music Model of Academic Motivation Components
… and Confirmatory Factor Analysis (CFA) using Structural Equation Modeling (SEM) were used to answer the following research question: To what extent do the Five Factor Model factors relate to the MMAM components? Due to the lack of substantiated knowledge regarding the relationships between The …
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Investigation of bootstrap estimates of the parameters, their standard errors, and associated confidence intervals of structural equation models with ordered categorical variables
… of the bootstrap when it is applied to structural equation models with ordered categorical variables. The study focuses on the parameter estimates, their standard errors and the coverage rates of the associated bootstrap confidence intervals. Structural equation models are used widely in …
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A Confirmatory Multivariate Study of the Nature of Second Language Proficiency and Its Relationship to Learner Variables (Acquisition, Covariance, Analysis, Structural Equation Models, Lisrel, Foreign, Teaching English as A Foreign Language, Tefl)
The purpose of this study was to investigate both the nature of second language proficiency and its interrelationships with learner variables using a wide range of language proficiency measures and powerful multivariate statistical techniques. First, competing hypotheses regarding the nature of …
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The Impact of Mother and Father Stress on Child Externalizing Behaviors
… the two. Using two separate cross-lagged structural equation models, data from the Fragile Families Child and Wellbeing Study (N = 1010) were analyzed to examine the differences between mother and father parenting stress on child externalizing behavior problems over time (ages three 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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Gender and Forgiveness in Early Married Couples
… of depression, anxiety, and hostility. Four structural equation models were tested in order to test for gender differences. Structural models including the latent variables of martial satisfaction, marital commitment, marital forgiveness, and mental health fit the data better for males than …
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Latino Students' Prejudice and Stereotypes toward African Americans
… was found on prejudice toward African Americans. Structural Equation Models (EQS) examining the relation among acculturation, generational status, stereotypes, and prejudice fit the data well. Prejudice was influenced by the endorsement of negative stereotypes and was predicted by dominant society …
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Predictors of Intraindividual Change in Personality and Well -Being
… in at least 2 measurement occasions. Structural equation models of latent growth curves (see McArdle, 1989; in press) were used to estimate rates of change in extraversion, neuroticism, life satisfaction, work satisfaction, marital satisfaction, and meaning in life over time. Increased …
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Children's mental representations of attachment: associations with attachment security and parent-child narrative quality
… 71 children and their mothers and fathers. Structural equation models (SEM) indicated that children’s attachment security exerted a significant indirect effect on children’s mental representations through parent-child narrative quality. Specifically, children’s attachment security with …
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Subordinate-Supervisor Demographic And Perceived Value Similarity: Relationships To Subordinate Perceptions Of Organizational Justice
… of organizational justice using three structural equation models. The first model indicated that subordinate-supervisor demographic and value similarity were directly related to subordinate perceptions of organizational justice (Direct Model). The second model indicated that subordinate …
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Elementary Teachers' Grading Practices: Does the Reality Reflect the Rubric?
… teachers (N = 374) from 45 schools. Multilevel structural equation models, with students nested within classrooms, tested two models describing variance in report card grades. One model included the factors listed on the school system grading rubric along with additional factors thought to be …
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Work and non-work stress among solicitors: Modelling the work-home interface
… analyses in the development and testing of structural equation models of the work and home domain. A distinguishing feature of this study is its examination of the work-home interface at the microlevel, which involved developing a series of structural equation models relevant to the most …
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Relative performance transparency : effects on sustainable purchase and consumption behavior
… levels of sustainability performance. We employ structural equation models to identify the underlying mechanisms that drive these results.
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Relationships between Household Economic Distress and Child Mental Health: Determinants, Mechanisms, and Interventions
… components. The first part used machine learning models to identify factors that predict household income and asset poverty across different levels. The second study examined how household economic distress influences child mental health through different pathways, using structural equation models …
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