Sample size requirements for estimating pearson, kendall and spearman correlations

By Douglas G. Bonett, T. A. Wright. 2000

869 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/dcf1b890fdbf0a130ab14e68bbfd7bcc4b467977

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In Statistics and Probability

Citations in the corpus

Estimating Pearson's Correlation Coefficient with Bootstrap Confidence Interval from Serially Dependent Time Series (2003, methodology): “This augments previous work on data size requirements for data without serial dependence (Bonett and Wright, 2000) and Spearman’s correlation coefficient for data with serial dependence (Park and Lee, 2001).”
Constructing Confidence Intervals for Spearman’s Rank Correlation with Ordinal Data: A Simulation Study Comparing Analytic and Bootstrap Methods (2008, methodology): “(1957), Caruso and Cliff (1997), and Bonnett and Wright (2000). Then, B = 2,000 bootstrap samples - a quantity recommended by DiCiccio and Efron (1996) and also used by Chan and Chan (2004) - were drawn from each replication sample and rS was calculated for each to construct a bootstrap BCA CI.”
Sample size estimation for correlations with pre-specified confidence interval (2014, neutral): “The Bonett and Wright (2000) first-stage equation (their Eq.”
Inferential Methods for the Tetrachoric Correlation Coefficient (2005, background): “Sample size planning formulas have recently been developed for several correlation confidence intervals (Bonett, 2002; Bonett & Wright, 2000), but a sample size planning formula for the tetrachoric correlation is currently unavailable.”
Influence functions of the Spearman and Kendall correlation measures (2010, methodology): “In Bonett and Wright (2000), for example, confidence intervals for the Spearman and Kendall correlation are constructed using approximations of the asymptotic variances, while Proposition 4 provides the closed form expressions.”
The Psychological Roots of Anti-Vaccination Attitudes: A 24-Nation Investigation (2018, neutral): “Sample size was determined to ensure that each of the samples met or exceeded the recommended sample sizes for reliable correlations (Bonett & Wright, 2000).”
Sample Size Guideline for Correlation Analysis (2016, background): “Besides that, there were also papers published with regards to sample size requirement for correlation test (Faul et al., 2009; Bonett & Wright, 2000).”
Comparing the Pearson and Spearman correlation coefficients across distributions and sample sizes: A tutorial using simulations and empirical data. (2016, methodology): “…of bias, mean squared error, and relative asymptotic efficiency) of the distribution and its moments have been published (Best & Roberts, 1975; Bonett & Wright, 2000; Croux & Dehon, 2010; David & Mallows, 1961; David, Kendall, & Stuart, 1951; Fieller, Hartley, & Pearson, 1957; Xu, Hou, Hung,…”