ETIMOLOGI PERKATAAN SPEARMAN'S RANK-ORDER COEFFICIENT
Named after Charles E. Spearman (1863–1945), English mathematician and statistician.
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1
Basic Concepts in Statistics' 2007 Ed.
12.2 Spearman's Rank-Order Coefficient (rj Correlation analysis is used to
determine the linear relationship between the independent variable and predictor
variable. The most common correlation coefficient is the Pearson's Product-
Moment ...
2
Reliability and Validity in Neuropsychological Assessment
The next two indices to be discussed (Spearman's rank-order coefficient and
Kendall's tau) are not, strictly speaking, correlation coefficients. They are actually
descriptors of the extent to which the data tend toward monotonicity as well as of
the ...
3
An Introduction to Information Science
They are usually "weaker" in uncovering statistical differences, which is why
statisticians prefer the parametric tests when applicable. However, that will not
concern us here. Spearman's Rank Order Coefficient To illustrate the calculation
of the ...
4
Vegetation Description and Data Analysis: A Practical Approach
... level of significance from Spearman's rank order coefficient rs . Scattergrams.
At the start of any correlation and regression analysis, it is always worthwhile
plotting a graph or scattergram of the relationship between the two variables.
Values ...
5
Knowledge-Based Intelligent Information and Engineering ...
Spearman's Rank Order coefficient Barbara Face Hill Mh1 0.622 0.509 0.622
Mh18c 0.627 0.505 0.538 Mh6 0.607 0.506 0.514 Mhi3 0.589 0.497 0.516 H6
0.738 0.584 0.68 Mp6 0.478 0.531 0.516 OH6 0.588 0.59 0.69 PSNR 0.586
0.642 ...
Bogdan Gabrys, Robert J. Howlett, L. C. Jain, 2006
6
Color in Ink-jet Printing: Influence of Structural and ...
Table 44 Rank comparison between visual and instrumental lightness
measurements *A: perceptual lightness rank, **B: measured lightness rank
Spearman's rank order coefficient (rs) between measured and perceived ranking
of lightness ...
7
Review of Progress in Quantitative Nondestructive Evaluation
The Pearson's coefficient is known to be valid for the case of bi-normal distributed
data while the Spearman's rank-order coefficient, derived from non-parametric
statistics, is not limited by this constraint. Spearman's method also shows general
...
Donald O. Thompson, Dale E. Chimenti, 1993
8
Radial Basis Function Networks 2: New Advances in Design
The value of Spearman's rank order coefficient rs is within the interval [-1,1],
where larger values close to 1 indicate similar rank orders of the sequences, so
that the calculated value of rs = 0.98 shows that the order of the distances
between the ...
Robert J. Howlett, Lakhmi C. Jain, 2001
9
Psychobiological Approaches to Social Behavior
Analysis. With Spearman's rank-order coefficient as the measure of association,
and the minute as the varying time unit, the number and amplitude of GSR
deflections of each subject were correlated with the number and amplitude of the
GSR ...
P. Herbert Leiderman, David Shapiro, 1964
10
Fundamentals of Basin and Petroleum Systems Modeling
Some examples of cross plots and their correlation coefficients Spearman's rank
order coefficient ranges also from −1 to 1 but it is overall known to be more robust
than Pearson's correlation coefficient (Press et al., 2002). Commonly, it is used ...
Thomas Hantschel, Armin I. Kauerauf, 2009
