A series of nested structural
equation models tested predicted links across various domains of competence and psychopathology.
An integrative structural
equation model tested hypotheses that mothers» parenting (i.e., low levels of inductive discipline and maternal warmth) would mediate adverse effects of early maternal distress on child effortful control, which in turn would mediate effects of maternal parenting on child externalizing behavior.
Not exact matches
A structural
equations model is developed and empirically
tested using a sample of new car buyers.
Dynamic Specification and Misspecification in Systems of Demand
Equations: A
Testing Strategy for
Model Selection.
That number is the output of a
model, computed from the area under a curve put out in the device, and an
equation relating such areas to actual (accurately but not perfectly known)
test concentrations.
Require that the GCM modelers produce an engineering level document that shows the derivation of every
equation used in the
model, a list of all subroutines and their description, a document that shows the interrelationship of all subroutines and all validation, calibration
tests.
In contrast with ACR's 2010 methodology for N2O Emissions Reductions from Changes in Fertilizer Management, which incorporates site specific data into a peer - reviewed,
tested and highly parameterized computer
model to calculate N2O emission reductions resulting from changes in how fertilizer is applied and used, the MSU - EPRI methodology is based on empirical
equations and NCR data to set conservative estimates for emission reductions.
The only way I can think of to properly
test and support any hypothesis either way is via
modelling, basically solving the hydrodynamic
equations for toy planets with and without upper atmosphere cooling.
We
tested this theory using structural
equation modeling of data collected from 335 families over a 4 - year period of time, from the target children's early adolescence into their middle adolescence.
Structural
equation models with lagged covariates are used to predict change in the volume of social support provided to parents, with
tests of equivalence between sons and daughters.
Individually significant coefficients were interpreted only if the
equation in which they were estimated was significant as a whole in a multivariate
test, an approach that minimizes the problem of false positives due to multiple comparisons while avoiding the problem of low power to detect true associations of moderate magnitude that is introduced by more conservative methods (eg, Bonferroni corrections).33
Model comparisons were made using the Akaike information criterion.34
Operationalization was
tested using confirmatory factor analyses and causal hypotheses were evaluated by means of structural
equation modeling.
Independent Cluster
Model Confirmatory Factor Analysis (ICM - CFA), Bifactor Confirmatory Factor Analysis and Exploratory Structural
Equation Modeling Analysis followed in the second sample (CFA1 Sample),
testing seven alternative solutions.
Two
models of youth violence (risk / protective and social ecological) were
tested using structural
equation modeling.
Structural
Equation Modelling in MPlus was used to
test the components of the TPB
model as well as the
model itself.
Structural
Equation Modeling was used to
test the mediation
model.
Testing mediational
models with longitudinal data: Questions and tips in the use of structural
equation modeling
Finally, structural
equation modelling (SEM) will be used to
test the
model fitness of women's and men's commitment with all their significant predictors.
She has technical expertise in a wide range of statistical techniques used in the social sciences, including structural
equation modeling, confirmatory factor analysis and MIMIC approaches to measurement, path
modeling, regression analysis (e.g., linear, logistic, Poisson), latent class analysis, hierarchical linear
models (including growth curve
modeling), latent transition analysis, mixture
modeling, item response theory, as well as more commonly used techniques drawing from classical
test theory (e.g., reliability analysis through Cronbach's alpha, exploratory factor analysis, uni - and multivariate regression, correlation, ANOVA, etc).
Evaluating the fit of structural
equation models:
Tests of significance and descriptive goodness - of - fit measures.
Finally, structural
equation modelling was used to
test the
model fitness, in which women's commitment was affected by women's love and acculturation, and men's commitment was affected by men's love and dyadic adjustment (see Figure 1).
We
tested moderated mediation using structural
equation modeling, with all baseline scores (prior to randomization) controlled.
Using data from a prospective study, structural
equation modeling was used to
test a
model predicting adolescent sexual behavior at age 19, denoted by the number of lifetime sexual partners.
,
Testing structural
equation models (pp. 445 - 455).
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 study participants included 7,741 students from 78 schools who were randomly assigned to either intervention or control condition, and the program effects were
tested with structural
equation modeling.
Hypotheses were
tested using structural
equation modeling with a latent variable interaction estimated in Mplus version 7.3 (Muthén and Muthén 1998 — 2012).
The
model of this study was
tested through structural
equation model by using AMOS 18.0 program.
The fourth and final step was to
test mediation with structural
equation model.
Moreover, although integrative
models were
tested by using structural -
equation modelling or hierarchical regressions to demonstrate the predictive effect of positive youth development on problem behaviour (Jessor et al. 2003; Lent et al. 2005), these cross-sectional studies did not examine the reverse predictive effect of problem behaviour on positive youth development.
For this purpose, the research
model and alternative
models with various paths among attachment dimensions, together with the breakup distress and growth was set and they were further
tested on whether the research
model was the best fit by using structural
equation modeling.
Structural
Equation Modelling was used to
test whether the link between attachment to parents and the use of particular coping strategies is mediated by differences in emotion regulation mechanisms.
Structural
equation modeling was used to
test indirect effects of risk variables (ISRE, environmental) on psychological functioning (externalizing, internalizing behaviors) via emotion regulation (anger, sadness).
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.
This study used Structual
Equation Modeling (SEM) to
test causal relationships among perceived teacher - student relationships, peer relationships, school engagement, student academic achievement in a sample of 5,944 middle school students.
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.
Structural
equation modeling (SEM) was used to
test a
model where parental monitoring predicted youth adherence and, through adherence, metabolic control.
Structural
equation modeling was used to
test a mediation
model positing an indirect pathway from social anxiety to romantic relationship functioning through functioning in close same - and other - sex friendships.
A proposed conceptual
model was
tested using structural
equation modeling and a good fit to the data was found.