Methods Patients diagnosed of Juvenile dermatomyositis in La Fe Hospital (Valencia, Spain) since June 1992 to March 2013. Dates are shown in median and interquartile range for non-parametric variables, and for parametric variables is given as mean and standard deviation. To assess response to treatment, we used Wilcoxon test for paired measures of non-parametric variables and t-student for para...

We investigated seven distance measures in a set of observations of physicochemical variables of mango (Mangifera indica) submitted to multivariate analyses (distance, projection and grouping). To estimate the distance measurements, five mango progeny (total of 25 genotypes) were analyzed, using six fruit physicochemical descriptors (fruit weight, equatorial diameter, longitudinal diamete...

Nonparametric statistical methods are useful tools for data analysis when there is reason to believe that the outcome variables of interest may fail certain distributional assumptions required for parametric methods. Variables may be ordered categories in nature and thereby not suitable for analysis methods that assume normally distributed variables, such as t tests or analyses of variance and ...

One of the important abilities of learners is to monitor their own learning process and take charge of their development. To this end and based on the correlational nature of the study design, total of 125 students (for the Winter semester of 2017) educating at Zanjan Universities (89 B.A. students of Islamic Azad University and 60 B.A. students of Payam-e-Noor University) were chosen as the st...

Asymptotic Relative Efficiency ] was pleased to read "Promise in Nonparametrics" by Royeen and Seaver (March, ] 986). As the authors state, analysis of data by non parametric methods when the strong assumptions for parametric counterparts cannot be met provides the researcher with effective statistical procedures that may be more realistic and valid in a given situation. It is also interesting ...

This chapter concerns rank tests for independence of two random variables. A form of locally most powerful test against particular alternative is derived and the most often used variants of this test are mentioned, namely the test of van der Waerden type, Spearman rank correlation coefficient, the quadrant test and the Kendall rank correlation coefficient, a member of non-linear rank statistics...

What is non-parametric correlation? A non-parametric (or ordinal) correlation coefficient for two variables quantifies the extent to which there is, in the study sample, a consistent relationship between the values for the two variables. The correlation coefficient indexes the strength of the relationship found, from zero (no discernible relationship) to a maximum value of 1 (denoting a perfect...