Sentences with phrase «measures analysis of variance»

All analyses will be undertaken using mixed - model repeated measures analysis of variance, with measurement occasion as a within - groups factor, and experimental group as a between - groups factor.

All analyses will be undertaken using mixed - model repeated measures analysis of variance with planned contrasts.

Peak coordinates from repeated measures analysis of variance and one sample t - test.

Assuming the use of a 2 (sites) × 2 (negative affect subtypes) × 3 (treatment groups) design with a repeated - measures analysis of variance, a power of 80 %, and a 5 % 2 - tailed test, a medium effect size of 0.5 for binge eating can be detected with a sample size of 205 (assuming a 15 % attrition rate).

An initial mixed model was fit by performing a split plot repeated measures analysis of variance (ANOVA) on the rank transformed energy values.

For each stimulation site (entorhinal and hippocampal), we completed a two (stimulation vs. nonstimulation condition) by three (blocks 1, 2, and 3) repeated - measures analysis of variance for latency and excess path length.

Not exact matches

In multivariate analysis for various combinations of age, sex, and measures of fat distribution, WHR accounted for 28 % and IAF for 51 % of the variance in SI, whereas age, sex, and interactions of age and sex accounted for only 1 %.

Assay, sample and side - to - side variation were quantified by analysis of variance and presumptively incorrect decisions related to high - risk disease were determined using the result from each MRD assay, the mean MRD in the patient as the measure of the true value, and each of 3 different MRD cut - off levels which have been used for making decisions on treatment.

A 2 - way analysis of variance (condition × time) with repeated measures was performed on all dependent variables recorded in the precondition and postcondition tests.

A 2 - way analysis of variance (ANOVA) with repeated measures (time) was performed on all dependent variables recorded in the precondition and postcondition tests (SPSS).

A 2 × 2 (trial × gender) analysis of variance with repeated measures and appropriate post hoc was used to analyze the data.

«Overall, results from the analyses indicate that between approximately 24 per cent and 43 per cent of the variance in written composition was explained by the three language convention measures and that spelling was the main predictor of written composition for each cohort.

To investigate the relationship between school effectiveness and classroom instruction, we initially conducted a multivariate analysis of variance (MANOVA) with the school effectiveness rating serving as the independent variable and eight teacher variables serving as outcome measures (see Table 11).

To do this, we applied factor analysis with principal - component factoring to find the readability factor that accounted for the most variance of the full set of readability measures.78 Our readability factor statistically accounts for a large amount of the variance of the full set of the composited readability measures.79

Implemented a volume / rate / mix variance analysis to measure equipment costs / margins, one of the largest expenses in telecom.

For the treatment period, the primary analysis for continuous measures was an analysis of variance using the slope of change in the primary variables as the outcome measures and center, treatment, negative affect subtype, and all interactions as the independent measures.

Continuous measures were analyzed by comparing means across the 3 conditions using analysis of variance procedures.

We used one - way analysis of variance or independent sample t - tests to compare group differences on the measures of the continuous variables.

RESULTS: Exploratory factor analyses support a three - factor structure explaining 53.44 % of the variance and confirmatory factor analyses validate that the measuring tool reflects three distinct factors, which are 1) compliance with safety rules and procedures, 2) participation and initiatives related to prevention, and 3) concern for social and physical environment.

The choice of multiple t - tests for analysis of the outcome data is considered appropriate, although a simple two - way analysis of variance would have been a better choice and could have examined simultaneously the effects of the treatments on outcome measures and the differences between pre - and post-treatment measurements.

A multivariate analysis of variance (MANOVA) then examined possible gender differences and also explored whether the two genders displayed different patterns of correlation among these measures.

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.

To evaluate the associations among DADS scores and measures of marital and family functioning, several one - way analyses of variance (ANOVA) were performed using procedures parallel to those described above.

Multivariate analyses of variance (MANOVAs) with child (siblings, comparison) as a within - subjects variable and each measures» (CBCL, Child and Adolescent Social Support Scale [CASSS], MFQ) subscales as the dependent variables or paired t tests (LQ) were used to contrast siblings and comparison peers.

Regression analysis indicated that a combination of diabetes specific measures of family behavior accounted for 11.8 % of the variance in glycemic control after controlling for demographic variables.

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.