Sentences with phrase «spearman correlations»

Spearman correlations are shown in Table 5.

We next examined how each of the top 25 metabolite abnormalities was related to clinical functional status by Spearman correlation analysis.

The NanoString counts are consistent with RNAseq expression estimates (Spearman correlation = 0.81; Figure 6A).

The Spearman correlation values are indicated.

However, our receptor gene data is only moderately similar to nanoCAGE (Spearman correlation = 0.38; Figure 6B) and the abundance estimates of the OR and VR genes represented on the Illumina microarrays (Spearman correlation = 0.54 for OR and 0.29 for VR genes; Figure S6).

Below the diagonal the rho value of the Spearman correlation is indicated.

The respective Spearman correlation coefficients for caffeinated and decaffeinated coffee were 0.64 and 0.48, respectively.

The more the dog chased its tail, the more difficult it was for the owner to stop the behaviour (Spearman correlation coefficient; N = 83, r = 0.38, p < 0.001) and the less it reacted to the owners» calls (Spearman correlation coefficient; N = 89, r = 0.27, p = 0.009), indicating that the severity of the TC affects the dog's awareness.

Convergent validity was examined with Spearman correlation calculations between the scores of the MMAS - 8 and the scores of the domains of necessity and concerns of the BMQ - Specific.

Not exact matches

The mean age of formula introduction was 4.5 months (SD 3.8 months) and the mean age of breast feeding cessation was 7.5 months (SD 7.1 months), with the two variables highly correlated (Spearman's correlation: r = 0.807, p = < 0.001).

There was a very strong positive correlation between the scores from the two raters (Spearman's rho =.868, p < 0.001), indicating a high degree of consistency in ratings.

In Expert Evidence (No 3, p 93, 1992), Canter analyses more than 100 cusum charts using the «Spearman rank correlation test».

We discuss how correlation can be quantified using correlation coefficients (Pearson, Spearman) and show how spurious corrlations can arise in random data as well as very large independent data sets.

For every pair of tissues we then obtain a Spearman ranking correlation based on the correlation values of the common genes.

In a subgroup of 1953 study participants who also completed a 24 - hour dietary - recall questionnaire on 2 nonconsecutive days, 33 the Spearman coefficient for the correlation between coffee consumption as assessed with this questionnaire and coffee consumption as assessed with the baseline food - frequency questionnaire was 0.80.

Averages 1 - Mode, Median and Mean Averages 2 - Which Average is Best Averages 3 - Grouped Data (Estimated Mean) Averages 4 - Mean vs Estimated Mean Bar Charts Binomial Distribution 1 - Investigation and Introduction Binomial Distribution 2 - Solving Problems Binomial Distribution 3 - Expectation and Variance Box Plots Coding Combining Data Sets Cumulative Frequency Discrete Random Variables Expectation and Variance Frequency Polygons Histograms 1 - Drawing Histograms 2 - Interpreting Interpolation - Estimating the Median Moving Averages Normal Distribution 1 - Standard Normal Normal Distribution 2 - Non-Standard Normal Distribution 3 - Backwards and Further Problems Normal Distribution 4 - Approximation for Binomial Distribution Pictograms Pie Charts 1 - Drawing Pie Charts 2 - Interpreting Product Moment Correlation Coefficient (PMCC) Poisson Distribution Probability 1 Probability 2 Probability 3 Probability 4 Probability 5 Questionnaires Regression Lines Sampling Scatter Diagrams Sets 1 - 2 sets Sets 2 - 3 sets Sets 3 - Probability Sets 4 - Conditional Probability Skewness Spearman's Rank Correlation Coefficient Standard Deviation and the Variance Stem and Leaf Diagrams Two Way Tables Probability Distribution Function NOTE: Feel free to browse my shop for more excellent free and premium resources and as always please rate and feedback, thank you.

Examples on normal distribution, equation of a line of best fit, Spearman's rank correlation coefficient, and choropleth maps.

A table is given to be completed for Spearman's Rank Correlation Coefficient, but could easily be adapted for Product Moment or simply for scatter graphs and lines of best fit.

Spearman rank correlation coefficient tests were utilized for data analyses.

In 1904, Charles Spearman was able to design a statistical gauge for the strength of association between two variables, which obviously became the basis of the rank correlation coefficient, and was named after its creator (Spearman's rank correlation coefficient).

We examined the relationship between genetic distance and geographic distance among localities using GENEPOP, which regresses genetic distance against geographic distance (Euclidean, In km), calculates Spearman rank correlation coefficients (rs), and uses Mantel (1967) permutation (106 permutations) to establish 95 % confidence intervals (C / s) for rs.

We also tested the correlations between GHG emissions and GDP against vulnerability to climate change by treating vulnerability categories as ordinal data and undertaking spearman's rho tests using R statistical software31.

For the analysis of the association between the study variables, we used Chi Square, proceeding to apply Spearman's Correlation Coefficient in order to determine the directionality of the cCorrelation Coefficient in order to determine the directionality of the correlationcorrelation.

Spearman's Rank Order Tests (rho) explored correlations between depressive symptoms (HADS - D as a continuous variable) and deprivation.44 We report analysis by age, gender, deprivation, tumour site, place of birth and ethnicity.

Because the PSC scores were nonsymmetrically distributed, Spearman ρ correlations were calculated among the PSC scores, the PPAF scores, T scores for the CBCL Total, Internalizing, and Externalizing scales, as well as CBCL subscales.

The descriptive study is realized using calculation of frequency, and the correlation between the early maladaptive schemas and Digit span and the number of Units which the student validated in his first year at university, they were evaluated using of the Spearman's correlation coefficient ρ.

Convergent validity was supported by a significant correlation between the MMAS - 8 total score and the BMQ - Specific Necessity score (Spearman's rho = 0.492, p < 0.001).

Thus, the three of hypotheses on this study was tested by Spearman's Rho Correlation.

The associations between sedentary behaviour and BMI, WC as well as risk factors for obesity were studied by calculating Spearman's correlation coefficients by sex (tables 2 and 3).

We calculated Spearman's rank - order correlations due to floor effects in maternal PDS and infantile aggression.

Data processing: Mann - Whitney U-test, Wilcoxon T - test, Spearman rank correlation, regression analysis.

Spearman's rho correlations were small to medium between age and the physical tests for women p < 0.0001 and medium to strong correlation for men, but all significant p < 0.0001.

Spearman rank correlations were used to determine the strength of the association between the variables.

Inter-rater reliability was assessed using Spearman's correlation, giving a strong, positive correlation between quality ratings, rs = 0.95, n = 5, p = 0.014.

Spearman's correlation coefficient was calculated for the PBSS and the Self - efficacy of Breastfeeding Support Scale (SBSS) total scores to confirm criterion - related validity [23].

Spearman's correlation coefficient was calculated for the FNPS and selected items of the PBSS total scores.

Bivariate relationships among predictors and outcomes were assessed using Pearson product moment or Spearman rank order (for relationships with screen time) correlation coefficients.

We then investigated associations between life event variables, child anxiety and parental psychopathology using Spearman's rank correlation coefficients (rho) given that visual inspection of histogram plots and data summaries indicated that data for some life events and chronic adversities variables were skewed.

Pearson correlations were used for the correlations between the attachment functions and the IOS scale, and nonparametric correlations (Spearman's rho) were calculated for the correlations with the rank in the attachment hierarchy.

One - tailed Spearman's correlations between the length of time from the PACE interview to the date of onset and the number of parent - dependent negative life events (calculated on the basis of separate maternal and panel ratings) and chronic adversities were all non-significant (all ps < 0.05), indicating that there was not a significant drop - off in recall.

Spearman's correlations between child anxiety symptoms, maternal emotional distress and parent - dependent negative life events and chronic adversities

However, an exception could possibly be made for the hyperactivity / inattention problem scale of the SDQ - T; this subscale demonstrated both the highest reliability (Cronbach's alpha 0.88) and highest validity (Spearman's correlation coefficient 0.72) in our study.