Sentences with phrase «between predictors»

Correlations between predictors were below r =.42.

Few associations were found between these predictors and either concurrent or longitudinal changes in parenting behavior.

C1 - coefficients = within - dyad correlations between predictors, A = actor effects, P = partner effects, C2 - coefficients = within - dyad correlations between residual outcome variances

However, analysis of regression structure coefficients (child report of adherence rs =.67, parent report of adherence rs =.59), which are not suppressed or inflated by collinearity, demonstrates that beta weights for adherence are low because of multicollinearity between predictors, not poor relations with the outcome variable.

The strongest association between predictors and substance use emerged between age 15 multiple drug use and concurrent conduct problems for both males and females.

In addition, to examine the moderation we included the interaction term between predictors and moderator (Aiken and West, 1991).

Subsequent analyses included assessments of whether findings for regression analyses were moderated by university sample, but unless noted otherwise, there were no significant interactions between predictors and university sample.

Relationship Between Predictors of Incident Deliberate Self - Harm and Suicide Attempts Among Adolescents

The basic idea of this procedure is to identify regions with stable teleconnections between the predictors and the predictand.

[2] Uncertainty ranges for the predictions are derived from cross-validation based estimates of uncertainty in the relationships between the predictors and the future warming.

For this purpose, each model's predicted ΔT is calculated using the relationship between the predictors and ΔT determined using only the remaining models.

The method involves eigen - decomposition of the cross-covariance, in the set of models involved, between the predictors and ΔT.

BC17 derive a relationship in current generation (CMIP5) global climate models between predictors consisting of three basic aspects of each of these simulated fluxes in the recent past, and simulated increases in global mean surface temperature (GMST) under IPCC scenarios (ΔT).

BC17 derive a relationship in current generation (CMIP5) global climate models between predictors consisting of three basic aspects of each of these simulated fluxes in the recent past, and simulated increases in global mean surface temperature (GMST) under IPCC scenarios (ΔT).

The basic idea of this procedure is to identify regions with stable teleconnections between the predictors and the predictand.

The structural relations between these predictors are tested for two samples.

Perhaps we could say that probabilistic statements about climate sensitivity ignore uncertainty regarding the true relationship between predictor and predictand.

Note that reservoir CO2 fluxes are inverse transformed such that a negative regression correlation indicates a positive relationship between the predictor variable and the CO2 flux.

And in RegEM, there is no distinction between predictor and predictand — to this extent, some of the descriptions from Gavin and Steig aren't always as clear as they might be.

Zero - order correlation analyses were conducted to test bivariate associations between the predictor and criterion variables.

Whether abuse status moderated the relations between each predictor and parenting stress was also explored.

In Step 2, we computed zero - order correlations among the predictor variables and between the predictor and criterion variables.

To be considered a mediator, the strength of the direct relation between predictor and outcome (path C in Figure 1) will be diminished when the mediator is entered into the analysis (path C» in Figure 1).

MacKinnon and colleagues38 suggested that mediation analyses be conducted when there is a relation between a predictor and mediator (paths A1, A2, and A3 in Figure 1), as well as a relation between a mediator and outcome (paths B1, B2, and B3 in Figure 1).

A MANOVA showed that there were no significant interactions between the predictor variables.

Bivariate Associations Between Predictor Variables and Success Versus Failure in Weight Reduction up to 12 - Month Follow - up

Here we first established the relationship between the predictor (income - to - needs ratio) and the potential mediators (caregiver education, parenting, and life events), and then examined the relationships of the mediators to the outcome (brain volume) and, when significant, whether they reduced the direct effect of income - to - needs ratio on brain volumes.

Regressions were then performed using factor scores to examine associations between the predictor variables and outcomes.

Although childhood human capital did not explain the credit score — heart age connection completely, its contribution was notable, given that 30 y elapsed between predictor and outcome measurements.

To ascertain whether a mediator is significant, the correlation between a predictor and outcome variable should diminish significantly (partial mediation) or entirely (full mediation) when the relationships between the predictor / mediator variables and mediator / outcome variables is accounted for.

To test this potential indirect effect, we used a non-parametric Monte Carlo simulation method, in which the indirect effect obtained from the a (the link between the predictor variable and the indirect effect variable) and b (the link between the indirect effect variable and the dependent variable, controlling for the remaining predictors) paths in a series of regression analyses is simulated k number of times using the slopes and standard errors obtained from the data (we used k = 50,000).

When the regression coefficients for a particular family level predictor varied between Incredible Years groups, a cross-level interaction between this predictor and the intervention variable was added to the model.

Theoretically, with structural equation modelling, a model could clearly delineate predictive relationships between the predictor and criterion variables.

There are two parts to the relationship between predictor and outcome in APIM: The actor effect describes the unique effect of a person's own predictor on his or her (the actor's) own outcome, whereas the partner effect describes the unique effect of their partner's predictor on the actor's outcome.

Correlations between the predictor variables are presented in Table 2.

In addition, clear differences between the predictor profiles confirmed that, compared to the abstainers and late onset groups, the early onset substance use group appeared to be at much higher risk for adverse childhood predictors (revealing a problematic profile), including lower levels of parental knowledge about adolescents» activities and self - esteem and higher levels of novelty seeking and conduct disorder (Flory et al. 2004; Wanner et al. 2006).

The following criteria are necessary for mediation: (I) the predictor (family functioning) should be significantly associated with the outcome (HbA1c), (II) the predictor should be significantly associated with the mediator (adherence), (III) the mediator should be associated with the outcome variable (with the predictor accounted for), and (IV) lastly, the addition of the mediator to the full model should reduce the relation between the predictor and criterion variable.

The presence of a significant interaction tells us that there is significant moderation (i.e., that the association between the predictor and the outcome is significantly different across levels of the moderator or that the association is conditional on values of the moderator), but tells us little about the specific conditions that dictate whether the predictor is significantly related to the outcome.

Next, we used multilevel modeling to examine the longitudinal or lagged relations between predictor variables and metabolic control.

There are two parts to the relationship between predictor and outcome in APIM: the actor effect describes the unique effect of a person's own predictor on his or her (the actor) own outcome, whereas the partner effect describes the unique effect of their partner's predictor on the actor's outcome.

Next, to establish mediation, we tested for a significant reduction in the direct effect between the predictor and the outcome, when each mediating variable was included in the model.

These unique regression estimates were simultaneously pooled across participants, allowing for estimation of the relationships between predictor variables and daily mood in the population.

Not exact matches

«Identifying VXX / XIV Tendencies» finds that the Volatility Risk Premium (VRP), estimated as the difference between the current level of the S&P 500 implied volatility index (VIX) and the annualized standard deviation of S&P 500 Index daily returns over the previous 21 trading days (multiplying by the square root of 250 to annualize), may be a useful predictor of iPath S&P 500 VIX Short - term Futures ETN (VXX) and VelocityShares Daily Inverse VIX Short - term ETN (XIV) returns.

«Identifying VXX / XIV Tendencies» finds that S&P 500 implied volatility index (VIX) futures roll return, as measured by the percentage difference in settlement price between the nearest and next nearest VIX futures, may be a useful predictor of iPath S&P 500 VIX Short - term Futures ETN (VXX) and VelocityShares Daily Inverse VIX Short - term ETN (XIV) returns.

Note the distinction here between all mainliners and those who attend — it's 13 percentage points, meaning that involvement is a pivotal predictor of belief among them.

Differences in levels of education are one of the strongest predictors of the cleavage between these two groups.11

It is those errors in the line as a game predictor that account for the fact that year in and year out the Vegas casinos fail to hold their full 4.5 % of the drop in sprots betting, and that the numbers indicate that the general public consistently wins between 51 % and 52 % of the time, and sometimes as much as 53 %, with all bookmaker profits coming from sucker bets such as teasers, parlays, point buying, and parlay cards.

Predictors of a happy marriage The study, part of the National Marriage Project, surveyed more than 1,400 heterosexual couples between the ages of 18 and 46.

A comparison between ultrasound and a reliable last menstrual period as predictors of the day of delivery in 15,000 examinations

However, in malnourished populations motor development may be a useful predictor of subsequent human function.5 A study conducted in Denmark6 found a positive relationship between breastfeeding duration and an earlier ability to crawl and perform the «pincer grip» after adjusting for potential confounding variables.