Sentences with phrase «analysis of variance showed»

The mean treatment duration was 275.49 days in usual care, 196.24 days in the standard treatment condition, and 210.15 days in the modular treatment condition; a fixed - effects analysis of variance showed that the groups were significantly different from each other (F2, 171 = 4.66, P =.011).

Not exact matches

Trenberth et al. (2005b) showed that the SAM is the leading mode in an EOF analysis of monthly mean global atmospheric mass, accounting for around 10 % of total global variance.

Analysis of haplogroup frequencies using multidimensional scaling and principal component plots, supported by an analysis of molecular variance, showed that the geographic landscape of Transoxiana, despite its distinctiveness and diversity (deserts, fertile river basins, foothills and plains) had no strong influence on the genetic laAnalysis of haplogroup frequencies using multidimensional scaling and principal component plots, supported by an analysis of molecular variance, showed that the geographic landscape of Transoxiana, despite its distinctiveness and diversity (deserts, fertile river basins, foothills and plains) had no strong influence on the genetic laanalysis of molecular variance, showed that the geographic landscape of Transoxiana, despite its distinctiveness and diversity (deserts, fertile river basins, foothills and plains) had no strong influence on the genetic landscape.

A 2005 meta - analysis study on BMR * showed that when controlling all factors of metabolic rate, there is still a 26 % unknown variance between people.

Both the Best Evidence Synthesis by Adrianne Alton - Lee and the recent meta - analyses on apportionment of variance shows that the pie is reasonably representative of the various influences.

On that basis, while you have shown that the analysis in HSR2012 can not demonstrate their conclusion (or at least any strong interpretation of their conclusion), you have yet to show that there has not been an increase in temporal variance in summer temperature in the US48.

The Principal Component Analysis (PCA) of the newly extended GACP record shows that most of the volcanic AOT variability can be isolated into one mode responsible for ∼ 12 % of the total variance.

Results: Principle component analysis of the PSS showed that the scale consisted of 2 factors, which explained 52 % of variance.

In terms of validity, we make a factor analysis of the variables and delete the measurement which the factor loading is less than 0.4 to make the average variance extracted (AVE) reach more than 0.5, and it shows that the convergent validity of each variable meets the requirements.

The parallel analysis identified three factors as the optimal solution, explaining 72 % of the total variance, and the EFA showed simple structure, with high primary loadings, and low cross-loadings.

The second analysis showed that where sex, age and social desirability accounted for very little of the variance, five of the seven personality factors were closely related to Excitement: those high on Sociability, Interpersonal Sensitivity and Ambition, but low on Prudence and Inquisitiveness where interested in Excitement.

Moreover, regression analysis on men's personal commitment showed that all the variables explained 47 % of variance in men's personal commitment, F (7,29) = 3.65, p <.01.

Furthermore, the analyses showed that job satisfaction, social support, and ways of coping explain between 24 % and 38 % of the variance in subscales of marital satisfaction.

While controlling for location, gender, and ethnicity, regression analyses showed that family sanctions against smoking cigarettes and marijuana explained a modest proportion of the variance in substance use.

Biometric analyses showed that these multi-source measures of childhood impulsivity and inattention were highly heritable, with genetic variance accounting for 70 - 80 % of the phenotypic variance in many of the models.

Separate linear regression analyses for the preterm children with regard to mothers» reports of children's total problem behavior showed that gestational age was the most important predictor of children's problem behavior (β =.15, p =.016), accounting for a small but significant percentage of the variance (R 2 =.02 p =.016).

Stepwise regression analysis showed that impulsiveness / emotional unstableness, among the factor of adult ADHD, accounted for the most variance of internet addiction, and the additional accountability of attention deficit / memory problems was significant.

Box 2 shows the results of multiple regression analyses after controlling for age, sex, and duration of pain, and shows that these three variables correlated significantly with DASS depression scores (R2 (df = 3,806) = 0.049; F = 13.88; P < 0.001), and collectively contributed 4.9 % to the variance.

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.

Confirmatory Factor Analyses (CFA) showed that the variance of the YPI subscales could be explained by the three latent constructs, the grandiose / manipulative dimension (interpersonal), the callous / unemotional dimension (affective), and the impulsive / irresponsible dimension (behavioral), replicating the findings of Andershed et al. (2002).