Sentences with phrase «path coefficient»

Because the path coefficient between family factors and glycemic control remained significant while controlling for adherence, partial mediation was indicated.

Further, full mediation was also indicated as the path coefficient between the CBCL externalizing problem scores and glycemic control was reduced to nonsignificance while controlling for family factors (Fig. 1c).

Full mediation was further indicated as the path coefficient between externalizing problem scores and glycemic control was reduced to nonsignificance while controlling for adherence (Fig. 1b).

The path coefficient between critical parenting (DFBC) and HbA1c was reduced from.405 to.378 with the addition of externalizing problem scores to the model.

SEM allows the both the assessment of goodness of fit of a specified model and testing of each estimated path coefficient.

However, the path coefficient from the internalizing x externalizing interaction factor to the intercept of dichotomous variables was not statistically significant when the intercept was specified at W6 and W7, βs = − 2.12 to − 3.12, ps > 0.30.

Path coefficient, standardised βs = adjusted mean estimate.

comparisons testing the differences in the strengths of these path coefficients indicated that the

Unstandardized path coefficients are reported in text and tables.

Standardised direct path coefficients are presented.

RESULTS: It was found that social support and job stress fully mediated the relationship between fear of the crisis and health, with all fit indices meeting their respective criteria, and with all path coefficients being significant.

However, all paths coefficients estimated in the model were statistically significant at p <.01, standardized loadings ranging from.20 to.76 across the three factors.

Results of SEM analysis, with standardized path coefficients.

Single - headed arrows are path coefficients and curved, bidirectional arrows represent covariances.

Path coefficients are standardized.

We initially constrained corresponding path coefficients, intercepts, and covariances to be equal for age groups and for husbands and wives and then tested whether releasing these constraints (one parameter at a time) improved model fit.

In the diagram shown above, the indirect effect is the product of path coefficients «A» and «B».

In each model, standardized path coefficients were reported.

Having established invariance in the path coefficients, a series of increasingly restrictive hypotheses were tested (Jöreskog, 1971), resulting in a model in which no other constraints on the path coefficients could improve model fit.

As such, we removed two indicators from personality factors (negative emotionality & conscientiousness), two from ASQ (fearful and dismissing styles) and social attraction from IPA, as they showed either non-significant or weak path coefficients (< 0.10).

Path coefficients ranged from.23 to.51, reflecting small to medium effect sizes.

Path coefficients ranged from -.21 to.26, reflecting small effect sizes.

Unstandardized path coefficients for men are in black.

In the three - path mediation analysis, we used the multivariate delta estimator using the following equation from [109]: This variance estimate was used in Empirical Bayes estimation procedure for second - level bootstrapping of the path coefficients [8].

In the next step we investigated which path coefficients could be set equal across groups without significantly worsening model fit.

Mediation was again confirmed, and path coefficients were essentially unchanged.

The resulting path coefficients are thus corrected for attenuation due to unreliability.

The path coefficients suggest that, of the four participant characteristics previously identified in the literature and hypothesized to predict engagement in this study, only family income (β =.16, p <.05) and family stress (β =.18, p <.05) significantly predicted engagement.

We tested the invariance of the factor structure, factor loadings, and path coefficients between Black (n = 648) and White (n = 882) girls using a standard procedure (Motl et al., 2002).

The construction of FR - EXT was based on the reported path coefficients regarding substance abuse and antisocial behavior by Kendler et al. [16], who performed multivariate twin modeling to investigate the structure of genetic risk for common psychiatric and substance use disorders.

The statistical significance of the path coefficients and indirect effects were determined with bootstrapped standard errors.

Path coefficients outside parentheses are zero - order correlations (rs).

Factors predicting HBV Screening with standardized (beta) SEM path coefficients (N = 718).

Comparisons of the outputs from an incomplete data model with the outputs from a complete data sample showed that FIML estimations yielded very similar path coefficients as well as chi - square and fit measures despite substantial data loss in the incomplete model.

An interactive web site is available that conducts the Sobel test (with significance tests) if path coefficients and standard errors are entered (http://quantrm2.psy.ohio-state.edu/kris/sobel/sobel.htm).

Values on paths are path coefficients (standardized β s).

Values on paths are path coefficients (standardized βs).

Path coefficients are standardized and significance levels were determined by critical ratios on unstandardized coefficients

SEM model results showing standardized path coefficients of relationship between PMDC, adherence, and metabolic control (hemoglobin A1c, HbA1c).

SEM model showing standardized path coefficients for relationship between parental monitoring, parental knowledge of youth's diabetes care completion, and adherence.

Not exact matches

Crandom and Lrandom were computed as the average clustering coefficient and characteristic path length of a set of h random graphs with a comparable total degree and degree distribution as that of the examined functional connectivity graph (supplemental material, available at www.jneurosci.org).

From these functional brain networks, a number of key characteristics that describe the overall organization of a network were computed, including the clustering coefficient C and characteristic path length L (Watts and Strogatz, 1998).

Networks with a small - world organization have a clustering coefficient C that is much higher than the clustering coefficient of a comparable random organized network, but still with a short characteristic path length L that is similar to that of an equivalent random organized network (Watts and Strogatz, 1998).

This resulted in a correlation - coefficient map indicating which voxels showed a significant association between the full - scale IQ scores and normalized path length.

Figure 3 shows the correlation coefficients of those voxels that showed a significant correlation between their normalized path length and IQ (linear regression, df = 18, p < 0.05 uncorrected for multiple comparisons, corrected for age).

Formally, small - world networks show a ratio γ defined as C / Crandom of ≫ 1 and a ratio λ defined as L / Lrandom of ∼ 1, with Crandom and Lrandom the clustering coefficient and characteristic path length of a random organized network of similar size (Watts and Strogatz, 1998; Sporns et al., 2004).

Shown are correlation coefficient values of those voxels that had a significant negative association between IQ and normalized path length for T = 0.45 (linear regression, p < 0.05 uncorrected for multiple comparisons, df = 18, corrected for age).

Small - world metrics (characteristic path length and clustering coefficient) were computed using graph analytical methods.

To understand the selection mechanism behind mutations, network - based studies were used to estimate the importance of a mutated protein compared to non-mutated ones in signalling and protein — protein interaction networks.10, 11,12,13 Proteins mutated in cancer were found having a high number of interacting partners (i.e., a high degree of connectivity), which indicates high local importance.10 Mutated proteins are also often found in the centre of the network, in key global positions, as quantified by the number of shortest paths passing through them if all proteins are connected with each other (i.e., they have high betweenness centrality; hereafter called betweenness).11, 12 Mutated proteins also have high clustering coefficients, which means their neighbours are also neighbours of each other.10, 13 Moreover, neighbourhood analysis of mutated proteins have been previously successfully used to predict novel cancer - related genes.14, 15 However, to the best of our knowledge, no study has concentrated particularly on the topological importance of first neighbours of mutated proteins in cancer, and their usefulness as drug targets themselves.

Optimized front exit flow paths considering total flow, maximum downforce, low coefficient of drag, and achieving downstream flow structure to feed the mid-engine air inlets.