American Psychological Association. (2010). Publication manual of the American Psychological Association (6th ed.), Washington, DC: APA.
Beaulieu-Prévost, D. (2006). Confidence Intervals: From tests of statistical significance to confidence intervals, range hypotheses and substantial effects. Tutorials in Quantitative Methods for Psychology, 2, 11-19.
Bonett, D. G., Wright, T. A. (2000). Sample size requirements for estimating Pearson, Kendall and Spearman correlations. Psychometrika, 65, 23-28.
Bonett, D. G. (2014). CIcorr.R and sizeCIcorr.R http://people.ucsc.edu/~dgbonett/ psyc181.html
Corty, E. W. (2007). Using and interpreting statistics: A practical text for the health, behavioral, and social sciences. St. Louis: Mosby Elsevier.
Corty, E. W., Corty, R. W. (2011). Setting sample size to ensure narrow confidence intervals for precise estimation of population values. Nursing Research, 60, 148-153.
Cumming, G. (2014). The New Statistics: Why and How, Psychological Science, 25, 7-29.
Descoteaux, J. (2007). Statistical power: An historical introduction. Tutorials in Quantitative Methods for Psychology, 3, 28-34.
Field, A. (2009). Discovering statistics using SPSS. London, Great Britain: Sage Publications Limited.
Fisher, R.A. (1915). "Frequency distribution of the values of the correlation coefficient in samples of an indefinitely large population". Biometrika, 10, 507–521.
Hotelling, H. (1953). New light on the correlation coefficient and its transforms, Journal of the Royal Statistical Society, 15, 193-232.
Kelley, K. (2008). Sample size planning for the squared multiple correlation coefficient: Accuracy in parameter estimation via narrow confidence intervals. Multivariate Behavioral Research, 43, 524-555.
Lachin, J. M. (1981). Introduction to sample size determination and power analysis for clinical trials. Controlled Clinical Trials, 2, 93-113.
Lenth, R. V. (2001). Some practical guidelines for effective sample size determination. The American Statistician, 55, 187-193.
R Foundation for Statistical Computing. (2011). R: a language and environment for statistical computing. [WWW page]: http://cran. r-project. org
StatsToDo. (2014). confidence interval estimation. http://www.statstodo.com/SSizCorr_Pgm.php#