Spearman Correlation Coefficients, Differences between
By L. Myers, M. Sirois. 2004
560 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/dad5228ff4576fa5b99264cf6445bffb7d9db926
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In Statistics and Probability
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Citations in the corpus
- Engineering stress culture: Relationships among mental health, engineering identity, and sense of inclusion (2021, methodology): “Lastly, we investigated whether there were relationships among self-reported stress, anxiety, depression; engineering identity; and perceptions of inclusion using Spearman correlations (Myers & Sirois, 2004).”
- Meta‐analysis reveals the importance of matrix composition for animals in fragmented habitat (2011, methodology): “In a few cases where abundance was not analyzed using correlation analysis (or data on predictors and abundance could not be calculated from data included in a published table), we converted F-values to r (Rosenberg et al., 1997), or Spearman rank correlations to r (Myers & Sirois, 2006).”
- Joint Multiclass Debiasing of Word Embeddings (2020, methodology): “Quality Assessment: First, we compared ranked lists of word pairs in terms of their vector similarity to human judgement via Spearmans Rank correlation coefficient [13], by using the collection taken from the Conceptor Debiasing evaluation [7], i.”
- The Assessment of Art Attributes (2010, methodology): “Second, Spearman rank correlations were treated as Pearson coefficients and Fisher transformations were applied to test for group correlation differences (Myers & Sirois, 2006).”
- When do Dynamic Capabilities Lead to Competitive Advantage? The Importance of Strategic Fit (2018, unknown): “…respondents 2 We used Spearman’s correlation because Pearson’s correlation coefficient may be sensitive to violations of normality in a small sample (Myers and Sirois, 2014). were explicitly informed that their responses to the questionnaire would remain anonymous in order to reduce the threat of…”