Sentences with phrase «main effects analyses»

Not exact matches

We found little evidence that between - study heterogeneity in estimates was explained by age at measurement of blood pressure (p = 0.5), decade of birth (p = 0.2), stipulation of a minimum duration of breastfeeding (p = 0.5), proportion of the target population in the main analysis (p = 0.2), whether breastfeeding was exclusive for at least 2 months (p = 0.2), method of blood pressure measurement (p = 0.4), or whether effect estimates controlled for socioeconomic factors (p = 0.9), maternal factors in pregnancy (p = 0.9), or current weight (p = 0.9).

My current analysis leads me to think there are two main effects.

Furthermore, the analysis of data on single - nucleotide polymorphisms, the main cause of difference between human beings, allows the prediction of phenotypic effects of a particular genetic variation.

Extending the functional main effects that we have just discussed, our psychophysiological interaction (PPI) analysis suggests that the behavioural sensitivity to violations of musical syntax requires the interaction of a system that processes nested hierarchical information (i.e. IFG and AIC), and an auditory working memory system (i.e. MFG and IPL).

When main effects were detected, post-hoc analyses including pairwise comparisons were performed using Least Significant Difference procedures to identify differences among treatments.

Table 2 compares results from the main analyses that do not adjust for energy intake to results from various models that adjust for total energy, some of which estimate the effect of substitution.

To examine the possible effects of the literacy hour on mathematics, we simply repeat our main analysis, but focus this time on the percentile mathematics score and whether the student obtains level 4 or above in mathematics.

This baseline difference motivates a brief analysis of ability interactions and peer effects, discussed after presentation of the main results and robustness checks.

Moderator analyses were performed using a random effects model that focused on the three main areas of scaffold characteristics (including the mechanism, functions, delivery forms, mode, and number of scaffolds; how to promote self - regulated learning by scaffolds); demographics of the selected studies (including sample groups, sample size, learning domain, research settings, and types of computer - based learning environments); and research methodological features (including research methods, types of research design, types of organization for treatment, and duration of treatment).

However, our meta - analysis did find multiple lines of evidence of biases within our sample of articles, which were perpetuated in journals of all impact factors and related largely to how science is communicated: The large, statistically significant effects were typically showcased in abstracts and summary paragraphs, whereas the lesser effects, especially those that were not statistically significant, were often buried in the main body of reports.

The analysis of the effects of these magnetic disturbances, occurring within the period 2006 — 2009 on ionospheric F2 - layer, showed significant departure of the main peak parameters from the corresponding 27 - days running means.

A paper published back in 1998 and co-authored by Richard Tol and titled: A BAYESIAN STATISTICAL ANALYSIS OF THE ENHANCED GREENHOUSE EFFECT dealt with climate sensitivity, even though the main purpose of the paper was to demonstrate: «This paper demonstrates that there is a robust statistical relationship between the records of the global mean surface air temperature and the atmospheric concentration of carbon dioxide over the period 1870 — 1991.»

re: «A complementary method for determining and / or evaluating global sea level rise is a budget analysis that adds together the cumulative effect of the main contributors to sea level rise: thermal expansion, melting of ice in glaciers, ice loss from the Greenland and the Antarctic ice sheets, and changes in land water storage.»

A complementary method for determining and / or evaluating global sea level rise is a budget analysis that adds together the cumulative effect of the main contributors to sea level rise: thermal expansion, melting of ice in glaciers, ice loss from the Greenland and the Antarctic ice sheets, and changes in land water storage.

That's one of the main takeaways from an analysis of 43 studies looking at the effects of microplastics on aquatic life.

Kevin Trenberth, the head of climate analysis at the National Center for Atmospheric Research (NCAR), believes the new study's main finding is accurate, but thinks the effects of some of the environmental factors on hurricane intensity might have been underestimated.

Nowhere have I seen even this simple analysis because it looks like the slopes pre - CO2 main effect and post remain about the same.

Four a priori analyses were undertaken comparing outcomes for the hypothesised subgroups using 2 × 2 factorial ANOVA to assess main (intervention vs comparison group) effects and interaction (intervention by subgroup effects for mothers who were Australian - born vs overseas - born, first - time vs multiparous, had one vs multiple risk factors, and scored EDS ≥ 10 (antenatal psychosocial distress) vs EDS < 10), while maintaining the power of the whole sample.

Group status (maltreatment vs. CC), 5 - HTTLPR genotype (l / l vs. l / s vs. s / s), and social supports (high vs. low) were all significant predictors of children's depression scores in the GEE analysis (P < 0.05, all main effects).

Methods: Main - and mediation effects were investigated using hierarchical regression analysis.

Further, the pattern of main effects of HC use among wives not using HCs at relationship formation was inconsistent across studies 1 and 2 [in study 1, t (176) = − 3.11, P < 0.01; in study 2, t (79) = 3.01, P < 0.01] and nonsignificant in the analysis that combined the data from the two studies [t (261) = − 0.53, NS].

Analysis of effects of non-maternal care, a special focus of the NICHD study, confirmed the lack of main effects of children's age of entry, quality of care and length of time children spent in non-maternal care, but also revealed interaction effects.

In addition, behaviour - genetic analyses usually employ main effects models dividing up the total phenotypic variance into additive (or dominant) genetic, shared and non-shared environmental components.

Importantly, in these studies, the genetic factors had no main effects on the outcome and the genetic influence was detected only when the environmental measure of maltreatment was included in the analyses.

Given the lack of significant findings for main effects or interactions relevant to our mediational models, we removed these terms from our successive analyses.

Statistical analysis revealed significant main effects of gender (F1, 227 = 36.77, P < 0.0001) and ETLE (F1, 227 = 27.50, P < 0.0001), but no main effect of MAOA genotype (F1, 227 = 0.10, P = 0.75).

Main and interaction effects of gender, ETLE, and MAOA genotype on the physical aggression score were calculated by using three - way analysis of variance (ANOVA).

Within this generation of research, gender has either been commonly treated as a nuisance variable that is statistically controlled, pooled in primary analyses, or eliminated by design (e.g., exclusive focus on boys)(Davies & Windle, 1997; Johnson & O'Leary, 1987), or examined as a main effect (e.g., examining mean differences between boys and girls in the levels of exposure to interparental conflict).

To discern the effect of age on the relationship among the main variables, analyses by intelligence measure (Mullen and Leiter - R) was conducted, and findings were shown in separate tables for each group.

In the three - way - analysis of variance with partnership, age, and education as factors and the AAS depend as continuous dependent variable (N = 1675), three small but relevant significant main effects of partnership, F (1, 1663) = 24.41, p < 0.001, η2 = 0.01, age, F (2, 1663) = 8.56, p < 0.001, η2 = 0.01, and education, F (1, 1663) = 11.92, p < 0.001, η2 = 0.01 were observed.

To address the main hypotheses of the study, we examined the effects of the three parenting practices — support, structure, and behavioral control — with the above factors controlled in the third model of the regression analyses (see Tables III and IV).

The nature of significant interaction effects was determined by examining the main effects of sample status separately for the different levels of the moderator in GLM analyses of covariance, to statistically test the sample differences within the subgroups.

None of the genotypes showed significant associations with delinquency in univariate analyses, whereas most interaction terms, as well as several gene main effects, were significant in the multivariate models and validated by complementary statistical analyses.

An analysis of variance (ANOVA) showed significant main effects of maternal prenatal smoking and a significant interaction between maternal prenatal smoking and mother's history of antisocial behavior in the prediction of children's probability to display high and rising physical aggression.

The interaction analysis with trust and relationship quality confirms the results of the main effects: Whereas trust revealed hardly detectable influences on peer clustering in smoking, relationship quality was more clearly associated.

The exclusionary criteria used in selecting dyads for the analyses in this article may help to explain the null findings for the main effects of prenatal drug exposure.

To explore main and moderating effects, we conducted a hierarchical regression analysis, to test for linear associations between exposure to bullying behaviors and symptoms of anxiety, as well as the interactive effects of exposure to bullying and the ability to defend, with regard to anxiety.

In the current study, statistical analyses evaluated the main and moderating effects of variables measured repeatedly at the within - person level (stress, social support, and unsupportive interactions) and variables measured at the between - person level (disruptive child behaviors, and support services) on daily positive and negative mood.

The review also focused on the effects of CSA on later parenting stress and excluded other types of childhood abuse from the main analyses.

Analyses did not reveal any main effect of attachment on child's adjustment, but the moderating effect of attachment on the association between contextual risk and adjustment was significant.

Analysis of covariance — main & interactive effects of CSA & relationship satisfaction on parenting stress.

Results were subjected to (1) correlation analyses that examined associations among the EF measures, (2) multivariate analysis of variance that compared EF performance between the preterm / ELBW group and the full - term group as a function of age, and (3) correlation and regression analyses that evaluated the main and interactive effects of the biomedical variables and SES on EF scores within the preterm / ELBW group.

Post-hoc analysis indicated that only the HAPA - enhanced group exhibited a significant main effect of time, with a medium effect size of significant increase in life satisfaction over time, F1.45, 150.79 = 9.97, partial eta square = 0.09, P <.001.