Sentences with phrase «structural equation»

A structural equation refers to a mathematical equation that represents relationships between different variables or factors in a system. It helps to understand how these variables interact and influence one another. It is commonly used in many fields, such as economics, psychology, and social sciences, to analyze complex systems and make predictions based on the relationships between different components. Full definition
We analyzed two complex predictive models using structural equation modeling.
Two models of youth violence (risk / protective and social ecological) were tested using structural equation modeling.
Applications of structural equation modeling in marketing and consumer research: A review.
However, criterion 3 for mediation, that high levels of mental health symptoms were associated with poor adherence and metabolic control when controlling for gender, was tested with structural equation model below.
The internal structure of responses to the trait emotional intelligence questionnaire - short form: an exploratory structural equation modeling approach.
Results from structural equation modeling revealed that work — family conflict was significantly and negatively related to marital satisfaction.
Therefore, gender was controlled for in the proposed structural equation model.
Multiple - group structural equation modeling indicated no race differences.
A proposed conceptual model was tested using structural equation modeling and a good fit to the data was found.
The fourth and final step was to test mediation with structural equation model.
A new look at the big five factor structure through exploratory structural equation modeling.
Using structural equation modeling, Study 1 evaluates the model on a sample of 1998 Norwegian high school students (aged 12 — 19 years).
The findings were similar for males and females as indicated by simultaneous group structural equation models.
[book] Sobel, M.E / 1982 / Asymptotic intervals for indirect effects in structural equations models.In Sociological methodology / Jossey - Bass: 290 ~ 312
The present study aims to build a model of second language (L2) reading, taking into account working memory capacity and first language (L1) literacy as variables within structural equation modeling (SEM).
The accuracy of multilevel structural equation modeling with pseudobalanced groups and small samples
[jounal] Russell, D. W. / 1998 / Analyzing data from experimental studies: A latent variable structural equation modeling approach / Journal of Counseling Psychology 45: 18 ~ 29
The impact of nonnormality on full information maximum - likelihood estimation for structural equation models with missing data
She focused chiefly on quantitative methods, including structural equation approaches, latent growth modeling, mixture modeling, multilevel modeling, and other types of advanced analyses.
Longitudinal structural equation modeling examined if intervention participation impacted adolescents» relationships with parents and their sexual risk behaviors.
Analyses through structural equation modeling indicated that interparental conflict (as assessed by both the adolescents and their mothers) related positively to maternal psychological control (as assessed again by both of them) which in turn predicted adolescent - reported relational aggression and loneliness, 8 months later.
Bank worked with Dishion, Patterson, and others on applying structural equation modeling to the growing OSLC data sets.
Our hypothesized predictive model received partial support based on structural equation modeling analyses.
Results of multi-group structural equation models provided support for the core meditational model in both ethnic groups, as well as evidence of a direct effect of maternal support on delinquency.
Second - generation structural equation modeling with a combination of categorical and continuous latent variables: New opportunities for latent class - latent growth modeling
We conducted Structural Equation Modelling (SEM) with maximum likelihood estimation to test pathways / structural relationships between child abuse, poor mental health and sexual or physical IPV perpetration.
A comparison of hierarchical linear and multilevel structural equation growth models and their application in school effectiveness research
What contributes to low achievement of middle school students: Evidence from multigroup structural equation modeling.
This research draws samples from 161 services enterprises in Pearl River delta, adopting structural equations modeling (SEM), aiming to explore in depth that co-production and innovation orientation have mediating effect and moderating effect between relationship property and service innovation performance.
Using hospitalization for ambulatory care sensitive conditions to measure access to primary health care: an application of spatial structural equation modeling
Sex - difference analyses, multivariate structural equation modeling, and graphic productions were performed with R (version 3.1.2) and AMOS (version 22).
Reporting structural equation modeling results in Psychology and Aging: Some proposed guidelines.
A series of nested structural equation models tested predicted links across various domains of competence and psychopathology.
She is particularly proficient in applying advanced quantitative methods including multi-level linear model, multi-level structural equation model, and growth model, etc. to analyze the large - scale international data like TIMSS and TALIS to compare the school management, leadership, operation and the association between these manifests and the school outcomes.
Sequential temporal dependencies in associations between symptoms of depression and posttraumatic stress disorder: An application of bivariate latent difference score structural equation modeling
We expected that, in a hybrid Structural Equation Model, the selected study variables (personality, attachment style and interpersonal attraction) will predict romantic inclination mediated by social influence (media and peer influence).
Method: We used a new ACE structural equation model to estimate heritability from a case - control family study of BED conducted in the Boston area.
Behavior problem factors were estimated using the latent moderated structural equations approach (Klein and Moosbrugger 2000) with maximum likelihood robust (MLR) estimation.
The confirmatory and predictive path analyses were performed using the EQS structural equations program software [38].
The collected data were Correlation and Covariance structural equation modeling.
We use linear structural equation causal modeling to test this hypothesis for the case of global self - esteem (Rosenberg 1979) and specific (academic) self - esteem.
Factor analyses of the Hospital Anxiety and Depression Scale: a Bayesian structural equation modeling approach.
Final structural equation model using latent class analysis for the Sociocultural Health Behavior Model predicting hepatitis B screening and vaccination.
The structural model and the three standard confirmatory factor models together were fitted to the data as a single structural equation model.1
We aim to estimate the pathways between maternal symptoms of anxiety and depression and child nocturnal awakenings via structural equation modeling using a sibling design.
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