Detecting Trends Using Spearman's Rank Correlation Coefficient

By Thomas D. Gautheir. 2001

334 citations recorded by the source corpus.

Subfields: Information Systems

View Paper: https://www.semanticscholar.org/paper/9df98296e2a6a6b9adbf5030ae16b76cfeb9f534

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In Information Systems

1. James B. Hittner
2. G. Simpson
3. Anthony J. Bishara

Citations in the corpus

• Testing the significance of a correlation with nonnormal data: comparison of Pearson, Spearman, transformation, and resampling approaches. (2012, background): “The power benefit of Spearman’s r may be the result of rank-ordering causing outliers to contract toward the center of the distribution (Fowler, 1987; Gauthier, 2001).”
• Modelling Palaeoecological Time Series Using Generalised Additive Models (2018, methodology): “Instead, non-parametric rank correlation coefficients have been used (Gautheir, 2001; Birks, 2012a), and whilst these do allow for the detection of non-linear trends, trends are restricted to be monotonic, no magnitude of the trend is provided, and the theory underlying significance testing of…”