Sentences with phrase «covariances across»

Two covariances across the growth models were statistically significant (between the intercepts, covariance = 3.87, p < 0.01, and between the intercept of the continuous variables and the slope of the dichotomous variables, covariance = -0.69, p < 0.05).

Loadings for the slope factors were constrained to the estimates from the unconditional models and covariances across the growth models were freely estimated.

The only statistically significant covariance across growth models was between the intercepts, covariance = 3.54, p < 0.01, suggesting that high probability of marijuana use was associated with high frequency of use at Wave 3.

Not exact matches

The tower is part of the AmeriFlux network, a consortium of scientists using a network to work with the eddy covariance technique, measuring fluxes of CO2 and CH4 at multiple sites across the Americas.

To test this hypothesis, we examined regional covariance of thinning patterns across participants sampled from the healthy adult lifespan (N = 248; 20 - 89 yrs).

These results indicate that cortical regions within rsFC - defined systems exhibit similar thinning patterns across the lifespan, and that structural covariance of cortical thinning may delineate local cortical distinctions.

Geometric means of inflammatory markers across quintiles of PHVO or non-HVO intake were computed with analysis of covariance in 3 different models.

An analysis of the covariance on students» spring fluency scores across grades 2 - 6, using fall fluency scores as the covariate, revealed a significant effect for school: F (2, 344) = 4.68, p =.01.

An analysis of the covariance on students» spring writing scores across grades 2 - 6, using fall writing scores as the covariate, revealed a significant effect for school: F (2, 293) = 5.44, p =.005; and significant school by year - in - study interaction: F (2, 293) = 3.90, p =.02.

An analysis of covariance on students» spring comprehension scores across grades 2 - 6, with fall scores used as the covariate, revealed a significant effect for the school: F (2,336) = 10.18, p <.001; a significant effect for year in study (Year 1 or Year 2): F (1,336) = 4.18, p =.04; and a significant school by year - in - study interaction: F (2,336) = 10.30, p <.001.

We estimate the overall extent of test measurement error and how this varies across students using the covariance structure of student test scores across grades in New York City from 1999 to 2007.

Given the differences in the covariance structure of returns across alternative equity styles (price movements are not perfectly correlated), it is reasonable to question whether tactical allocation strategies are effective across alternative equity styles.

Regressing proxies on temperature as in MBH is the correct way to go, even if they inefficienty ignored the covariance matrix across proxies and therefore could not compute correct confidence intervals.

The consistent covariance of TLC reflection with surface temperature on timescales from seasonal to interannual and under global warming in climate simulations indicates that temperature is a key factor controlling TLC cover, and that similar processes likely govern the TLC response to warming across the timescales.

if you've got a bivariate random parameters (intercepts and age effects) up and running, and so can estimate a correlation or covariance between initial growth rate (the tree - specific random additive effect at age = 1) and tree - specific random age coefficient across the sample, the significance of that correlation / covariance would be a first crack at this without choosing an age at which to split the sample.

With 3 principal components derived from the AVHRR covariance matrix, there is just enough resolution to pick up the TranAntarctic mountains separating E from W Antarctica, but not enough to see the Peninsula, with the result that the numerous Peninsula stations get smeared across W. Ant.

The model was expanded to included analysis of covariance within the structural equation modelling framework in order to correct for measurement error and adjusting for the imbalance in scores across the intervention and control group at the baseline.

λ1 considers that all of an item variance is error and that only the inter-item covariances reflect true variability; λ2 is a modification of λ1 that considers the square root of the sums of squares of the off diagonal elements; λ3 is equivalent with Cronbach's alpha; λ4 is the greatest split - half reliability; λ5 is a modification of λ1 that replaces the diagonal values with twice the square root of the maximum (across items) of the sums of squared inter-item covariances; λ6 considers the variance of errors (Revelle and Zinbarg 2009, pp. 147 — 149)

In these phenotypic models, the covariances between latent growth parameters as well as covariances between time - specific residuals could vary across zygosity.