Sentences with phrase «between predictor variables»

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

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

Correlations between the predictor variables are presented in Table 2.

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

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

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

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.

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).

Not exact matches

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.

She did, «finding that «beta weights» are the coefficients of the «predictors» in a regression equation used to find statistical correlations between variables.

However, there was not a strong multicollinearity between velocity and our other predictor variables (tolerance values for velocity: amphibians = 0.51, mammals = 0.49, birds = 0.52, values differ due to the use of different predictor variable subsets).

To account for demographic differences that might impact social network structure, our model also included binary predictor variables indicating whether subjects in each dyad were of the same or different nationalities, ethnicities, and genders, as well as a variable indicating the age difference between members of each dyad.

Inter-correlations among the intersections between teacher and student outcome variables were also subjected to factor analysis achieved through step-wise regression modeling techniques to determine the most potent predictors of student arts and academic learning outcomes.

The lack of any direct link between BC17's predictor variables and measures of dOLR / dT and dOSR / dT is indeed a very major weakness of the study.

In terms of strength of the relationship between the independent and dependent variables, perceived consensus was the strongest predictor of all three types of global warming views — certainty, causation, and harm / benefit.

Goodess et al. suggest that a more direct, but untested, approach could be to construct conditional damage functions (cdfs), by identifying the statistical relationships between the extreme events themselves (causing damage) and large - scale predictor variables.

After analyzing main effects, we assessed interactions between various predictor variables and treatment group.

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

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

We calculated χ2 statistics, t tests, and correlation coefficients to analyze the bivariate associations between each potential predictor variable (anthropometric and psychosocial family characteristics) and the 2 criteria of long - term weight change: success versus failure in weight reduction up to the 12 - month follow - up and weight change between the conclusion of treatment and the 12 - month follow - up.

The review of previous studies results in investigation of the predictor variables of parenting stress, there was consistency in the results regarding the association between parent gender, age, child age, recently time diagnosis, educational level, monthly income and marital status.

Sex and relationship variables as predictors of sexual attraction in cross-sex platonic friendships between young heterosexual adults.

To put the effect sizes for the hypothesized associations on wave 6 reckless driving into perspective, we re-ran the final model using logistic regressions (for the connections between the wave 6 indicators and the wave 6 latent variables) to obtain odds ratios (OR) for the indirect effects of wave 1 predictors on the individual wave 6 reckless driving items.

Before testing the moderating effects, the two predictor variables (social support and family function) were standardized to reduce problems associated with multicollinearity between the interaction term and the main effects (Frazier et al., 2004).

Multiple regression analyses were used to assess the relation between the same independent predictor variables and dimensional outcome measures (Karnofsky performance index).

The relations between independent predictor variables (measures of immunological and psychological function at entry to the trial, age of onset, and duration of illness) and dependent dichotomous outcome variables (self rated global outcome; presence or absence of caseness on the general health questionnaire at follow up; reduced or normal delayed responses to hypersensitivity skin test) were examined in separate logistic regression analyses.

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.

At first a regression model with the general relationship satisfaction scale as the criterion and seven predictors: the Triangular Love sub-scales (Passion, Commitment, Intimacy) a dummy sex variable (men participants coded 0 as the reference group, and women coded as 1), and the interaction terms between the sex variable and the love sub-scales.

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.

Although there was only a significant correlation between one of the predictor variables (interpersonal problems) and HADS depression, to allow comparisons with the anxiety model, the same mediation was conducted with HADS depression as the DV.

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

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.

First we conducted an additional analysis in the multilevel models that included a four - category couple drinking variable and gender as well as the interaction between gender and couple drinking categories as the predictors.

However, for crucial 3 - way interactions (e.g., between race, gender, and internalizing symptoms in the CMHI study), it is important to include the three 2 - way interactions between those 3 variables as possible predictors.

Prior to specifying the within - person part of the two - level path model, we person - mean centered the level 1 predictor variables (i.e., workload and squared workload) at an employee's individual mean to eliminate between - person variance (Hofmann et al., 2000).

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.

When one tests for the presence of a moderational effect with multiple regression, one examines whether an interaction between two variables (one independent variable and a moderator) is a significant predictor of an outcome variable, after controlling for the effect of the two predictors.

The associations between the level of maternal relationship satisfaction and infectious disease in the group of < 6 - month - old infants were first tested by performing separate bivariate logistic regression analyses for each of the eight infectious diseases as the dependent variable, using the level of relationship satisfaction as the predictor variable.

For example, if one were interested in whether the association between a parenting variable (e.g., father psychological control; Holmbeck, Shapera, & Hommeyer, in press) and an outcome (e.g., school grades) is moderated by group status (e.g., spina bifida vs. an able - bodied comparison sample), one would test the interaction of psychological control and group as a predictor of school grades after controlling for the parenting and group main effects.

Due to the non-significant associations between child internalizing problems and the parent co-regulation variables, the following hierarchical regression analysis focused on predictors of child externalizing problems.

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.