Sentences with phrase «using analyses of variance»

The associations between coping resources, realized coping behaviors, quality of life, pain - related factors and socio - demographic characteristics were examined using analyses of variance.

Baseline differences among conditions were tested using analyses of variance and logistic regression.

Practically every scientist uses statistics — from pharmacologists employing regression to understand the relation between the dose of a drug and its effects in the body, to agronomists using analysis of variance to test which fertilizer makes crops grow fastest.

Using analysis of variance, t - tests, or chi - square tests as appropriate, we compared the clinical characteristics among exposure groups and among subjects with World Trade Center cough according to prognostic subgroups: those with predominantly upper - airway symptoms (29 subjects) or lower - airway symptoms (95 subjects) or those with bronchial responsiveness (249 subjects).

Pre-massage and post-massage data were analyzed using analysis of variance (ANOVA).

In this study, the potential predictability of seasonal variations in extratropical storm activity is investigated using analysis of variance to provide quantitative and geographical observational evidence indicative of whether it may be possible to predict storm activity on the seasonal timescale.

Using analysis of variance, the mean IGARs revealed significantly greater improvements for DOCC (versus EUC) at 6 -, 12 -, and 18 - month follow - ups (Table 7).

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

We performed comparisons of means using analysis of variance, with planned post hoc analyses by the Tukey honestly significantly different test; effect sizes were obtained using mean differences with associated 95 % confidence intervals (CIs) and also calculated using Cohen d for purposes of comparability with related studies.

Analysis strategy — We use analysis of variance over time, covarying for age and sex, to test for an interaction between time and arm of trial.

Unadjusted group differences were tested by using analysis of variance with Bonferroni posthoc tests (to adjust for multiple comparisons) for continuous variables and the χ2 test for categorical variables.

Groups were compared on demographic and ADHD - related variables using analysis of variance (ANOVA) or Chi - square tests.

Not exact matches

One - way analysis of variance was used to compare the mean number of nutrients that were correctly identified for different labelling systems (continuous data), followed by Scheffe post hoc testing.

We compared socio - demographic and pregnancy - related characteristics among the three study groups using chi - square tests for categorical variables, analysis of variance (ANOVA) for normally distributed continuous variables and the nonparametric Kruskal - Wallis test for continuous variables that were not normally distributed.

For variables with normal distribution, one way analysis of variance was used to compare mean values.

The authors note that while the sample size of the meta - analyses was large (123,132 to 260,861 participants in different studies), they used only GWAS summary statistics and can not estimate all genetic variance factors; some studies also used different methodologies.

Complementary information to the Arctic warming analysis would be using DWT's of the few left Upper Air stations in the Circumpolar zone and crunch up temperature trends of the entire atmosphere, when variances from year to year are very small, but are mostly for the warmer.

Statistical analysis of One - way Analysis of Variance (ANOVA) and Two - way Analysis of Variance (ANOVA) was carried out for comparing two data groups using GraphPad Prism 6 software for all experiments conducted in dupanalysis of One - way Analysis of Variance (ANOVA) and Two - way Analysis of Variance (ANOVA) was carried out for comparing two data groups using GraphPad Prism 6 software for all experiments conducted in dupAnalysis of Variance (ANOVA) and Two - way Analysis of Variance (ANOVA) was carried out for comparing two data groups using GraphPad Prism 6 software for all experiments conducted in dupAnalysis of Variance (ANOVA) was carried out for comparing two data groups using GraphPad Prism 6 software for all experiments conducted in duplicates.

For continuous variables that were normally distributed, we used Student's t test or the one - way analysis of variance.

A one - way analysis of variance (ANOVA) was used to assess variations in the time spent by fish in the focal region or in each compartment of the focal region (front, B1, B2, B3, and B4 for the Top view and top, middle, and bottom for the Side view, respectively) among the experimental conditions.

Statistical analyses were made using either Student's two - tailed unpaired t test or analysis of variance (ANOVA) as specified in the figure legends, and Newman - Keuls procedure was used for multiple comparison analysis.

Analysis of variance (ANOVA) statistical comparisons were performed using Statview Software (SAS Institute, Inc., Cary, NC, USA, http://www.jmp.com) with statistical significance set at 0.05.

38/3: 15 Contrasting regional architectures of schizophrenia and other complex diseases using fast variance components analysis.

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.

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.

The obtained data were analyzed through the use of the analysis of variance (ANOVA).

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

In this course, students will learn how to use a set of quantitative methods referred to as the general linear model — regression, correlation, analysis of variance, and analysis of covariance — to address these and other questions that arise in educational, psychological, and social research.

The regression analyses used to generate fitted values are weighted by the inverse of each observation's estimated variance to account for differences in the number of respondents from each state; unweighted regressions yield substantively similar results.

For research questions 2, an analysis of variance (ANOVA) was used to identify students» procedural knowledge in areas of fraction concepts and whether there was a significant difference on posttest results between the experimental and control group students» correct answers.

Three analyses were conducted with the cross-sectional data using teachers» WSS ratings of student achievement and students» WJ - R standard scores: a) correlations comparing the students» standard scores on the various subtests of the WJ - R and the WSS checklist and summary report ratings of student achievement within the corresponding WSS domains, b) four - step hierarchical regressions examining the different factors that accounted for the variance in students» spring WJ - R scores, and c) Receiver - Operating - Characteristic (ROC) curves, which make possible a determination of whether a random pair of average and below - average scores on the WJ - R would be ranked correctly in terms of performance on the WSS.

We used a 2 - way analysis of variance (ANOVA) and Tukey honestly significant difference (HSD) tests to determine the effects of sex and reproductive status (treatment = intact versus sterilized) on the areas of the home ranges occupied by our study animals during the breeding and nonbreeding seasons.

Complementary information to the Arctic warming analysis would be using DWT's of the few left Upper Air stations in the Circumpolar zone and crunch up temperature trends of the entire atmosphere, when variances from year to year are very small, but are mostly for the warmer.

Karspeck et al (submitted) analyse the residual difference between the observations and the Kaplan et al. (1997) analysis using local non-stationary covariances and then draw a range of samples from the analysis posterior distribution in order to provide consistent variance at all times and locations.

Space - time spectral analysis is used to obtain the variance and phase speed of dominant convectively coupled equatorial waves, including the MJO, Kelvin, equatorial Rossby (ER), mixed Rossby - gravity (MRG), and eastward inertio - gravity (EIG) and westward inertio - gravity (WIG) waves.

«A multiple linear regression analysis of global annual mean near - surface air temperature (1900 — 2012) using the known radiative forcing and the El Niño — Southern Oscillation index as explanatory variables account for 89 % of the observed temperature variance.

His 1924 article «On a distribution yielding the error functions of several well known statistics» presented Karl Pearson's chi - squared and Student's t in the same framework as the Gaussian distribution, and his own «analysis of variance» distribution z (more commonly used today in the form of the F distribution).

Or you could do an analysis of variance (ANOVA) using whatever categorizing variables you want.

The data were analysed using a 2 (framing: loss vs. foregone - gain) × 3 (social norm: control vs. average - norm vs. rank - norm) between - participants Analysis of Variance (ANOVA [37]-RRB- performed using the anova function from the CAR package in the statistical computing software R (used for all subsequent statistical analyses).

LitigationSimulator uses a sophisticated sampling algorithm to explore the wealth variance implied in game theoretic analyses of legal disputes.

Reconciliation of all daily report statements using data research and variance analysis against custody

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Duties include monitoring preparation and issuance of schedules using the Critical Path Method (CPM), cost and schedule reports, problem analysis reports, variance reports, and milestone reports.

We used multivariate analysis of variance to combine the results across primary outcome variables to ascertain the potential for spurious significance due to multiple comparisons.

To describe the obtained data, frequency table, mean and standard deviation were applied and for analyzing the data, independent t - test and one - way analysis of variance were used.

Researchers suggest that meta - analysts calculate a tolerance level around a fail - safe N that is equal to 5 times the number of effects included in the meta - analysis plus 10 (the «5k + 10» benchmark).18, 19 Moreover, the association between the standardized effect sizes and the variances of these effects was analyzed by rank correlation with use of the Kendall τ method.

One - way analyses of variance were used to test for significant overall mean differences by weight category groupings.

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.

In order to test the influence of moderator variables, we used an analogue of analysis of variance and weighted ordinary least squares regression analyses.