Sentences with phrase «analyses of variance for»

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.

The analysis of variance for group differences in the ratio of Aβ42 / Aβ40 was significant (P < 0.001; Supplementary Table S9).

Not exact matches

Those include its highly profitable preprint business («insert volume forecasts and variance analysis for preprint advertising»), circulation rates («documentation of approval of») and the broad area of compensation expense («including sales commissions and bonus plans»).

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.

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.

Exposing stats illusions Shalizi warns «causal - sounding phrases... encourage confusion» in many analyses of variance studies (where «due to,» «explained by,» «account for» don't have ordinary meanings).

Interestingly, the influence of APOE ɛ 4 varied as the disease progressed; APOE ɛ 4 was associated with longitudinal FC decreases only for HCs in the single variance - based analyses and deteriorated DMN integration in nc - MCIs by combining the effects of other loci.

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.

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.

In the meta - analysis, grit accounts for about 3 percent of the variance in academic achievement outcomes when it is examined as a single predictor.

There is some evidence for this, but the OECD analysis finds that student socioeconomic status only explains 15 % of the variance in test results.

Russ makes three arguments: 1) A recent study that compared grit scores among fraternal and identical twins suggests that grit may be heritable to a large degree, which would make it unrealistic to expect schools or others to be able to alter it; 2) The twin study as well as a meta - analysis of grit research found that grit only explains about 2 - 3 % of the variance in achievement scores, which Russ thinks makes it a poor predictor of other outcomes; and 3) The meta - analysis suggests that grit may be highly correlated with conscientiousness, one of the Big 5 personality traits that psychologists have been studying for a long time.

«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.

For the purposes of our analysis, scores were standardized by subject, grade, and year to have mean zero and unit variance in the population of students attending Massachusetts public schools.

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.

The HLM analysis of spring writing scores among second - through sixth - graders (see Table 9) revealed that the school - level factor of collaborative leadership accounted for 25 % of the variance in students» spring writing after accounting for fall scores.

Our HLM analysis revealed that the school - level factor of collaborative leadership accounted for 29 % of second - through sixth - graders» variance in spring fluency scores (number of words read correctly in one minute), after accounting for fall scores.

The HLM analysis (see Table 16) for grade 1 (175 students and 25 teachers) revealed that after accounting for fall scores, 32 % of the variance in spring comprehension scores was between teachers.

For grades 2 - 3, the HLM analysis on data from 348 students and 50 teachers (see Table 20) revealed that after accounting for fall scores, 33 % of the variance in spring writing scores was between teacheFor grades 2 - 3, the HLM analysis on data from 348 students and 50 teachers (see Table 20) revealed that after accounting for fall scores, 33 % of the variance in spring writing scores was between teachefor fall scores, 33 % of the variance in spring writing scores was between teachers.

The HLM analysis (see Table 13) for grade 1 (188 students and 27 teachers) revealed that after accounting for fall scores, 41 % of the variance in spring fluency scores was between teachers.

For spring letter - name knowledge, the HLM analysis on data from 184 students and 26 teachers revealed that after accounting for fall scores, teachers accounted for 38 % of the variance in students» spring scorFor spring letter - name knowledge, the HLM analysis on data from 184 students and 26 teachers revealed that after accounting for fall scores, teachers accounted for 38 % of the variance in students» spring scorfor fall scores, teachers accounted for 38 % of the variance in students» spring scorfor 38 % of the variance in students» spring scores.

For grades 2 - 3, the HLM analysis on data from 380 students and 53 teachers (see Table 17) revealed that after accounting for fall scores, 29 % of the variance in spring comprehension NCE scores was between teacheFor grades 2 - 3, the HLM analysis on data from 380 students and 53 teachers (see Table 17) revealed that after accounting for fall scores, 29 % of the variance in spring comprehension NCE scores was between teachefor fall scores, 29 % of the variance in spring comprehension NCE scores was between teachers.

The HLM analysis (see Table 19) for grade 1 (163 students and 24 teachers) revealed that 33 % of the variance in spring writing scores was between teachers, after accounting for fall scores.

For grades 4 - 6, the HLM analysis on data from 395 students and 56 teachers (see Table 18) revealed that after accounting for fall scores, 39 % of the variance in spring comprehension scores was between teacheFor grades 4 - 6, the HLM analysis on data from 395 students and 56 teachers (see Table 18) revealed that after accounting for fall scores, 39 % of the variance in spring comprehension scores was between teachefor fall scores, 39 % of the variance in spring comprehension scores was between teachers.

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.

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.

For instance, an influential analysis by Hawking & Sutton (2009)(link to figures) has suggested that internal climate variability account for only about 20 % of the variance over the British isles on a 50 - year time scaFor instance, an influential analysis by Hawking & Sutton (2009)(link to figures) has suggested that internal climate variability account for only about 20 % of the variance over the British isles on a 50 - year time scafor only about 20 % of the variance over the British isles on a 50 - year time scale.

In fact, there's a wonderful variant of PDM based on the analysis of variance, developed for astronomy, which not only gives excellent results, it's also optimized for statistical efficiency and minimum computational workload (which really helps when analyzing terabyte databases such as come from modern satellite missions).

However, for the above model analysis, I have explicitly removed the 61 year cycle (and other higher frequency data) in order to examine the low frequency data, so I do not feel that your explanation is a likely explanation of the variance.

«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.

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.

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).

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

Responsible for the reporting of accounts receivable, sales, cash, pension plans, variance analyses and special projects.

You will be responsible for the oversight of general Cost functions to include standards, variance analysis, inventory, budgeting and forecasti...

Set up users, groups and role based security controlled OBIEE dashboard and answers for analysis of trends versus actual variances.

Carrying out cost variance analysis of different projects and suggesting corrective actions for the future

Worked with finance and merchants to improve accuracy and quality of variance reporting / analysis by converting planning for $ 2 billion gross margin from top - down to driver based bottoms - up process.

• Perform month - end consolidation activities such as accounting for foreign branches and cash flow entries • Oversee the development of monthly management reporting packages including identifying critical forecast gaps • Perform in - depth analysis to ensure completeness and accuracy of statistical data • Evaluate correlation among statistical data and summarize findings across clients and products • Analyze both current and past financial data and performance to help make informed decisions for the future • Explore investment opportunities and provide feedback to management to help them decides which ones to explore further • Create and maintain effective communication with key members to provide information regarding financial closings and deliverables • Research and prepare variance analysis and explanations and report deliverables

Accomplished and talented Financial Analyst with strong working knowledge of financial statements analysis and reporting to business intelligence, adept in providing in - depth variance analysis for various business units.

Processing weekly payroll for in house payroll and four Job Corp.out of town a total of 1180 -2220 employees, sent out weekly group email reminders for time sheets on Fridays and Monday as so worked remotely on those days too.Payroll Analysis, payroll vouchers and variance reports, processed time sheets in Deltek and import the mover to CostPoint then download the time - sheets to ADP (workforce now) and all other office duties and responsible for payroll checks to be delivered or Fedex, processing all new hires including enrolling them inADP (workforce now) and CostPoint, manually enter loans, benefits, W - 4 direct deposit, bonuses and other as needed.

Exceptional delivery of budgets, forecasts, financial statements, sensitivity and variance analyses, contingency plans, ratios and benchmarks, and summary presentations for senior management, auditors, owners, and c...