142019-11-19 11:55:48PeterWatson132019-11-19 11:48:12PeterWatson122013-08-27 14:10:56PeterWatson112013-08-27 14:10:25PeterWatson102013-08-27 14:08:30PeterWatson92013-08-27 13:50:22PeterWatson82013-03-08 10:17:37localhostconverted to 1.6 markup72007-07-17 09:22:37PeterWatson62007-07-17 09:16:14PeterWatson52007-07-17 09:15:49PeterWatson42007-01-19 10:25:46PeterWatson32007-01-19 10:25:29PeterWatson22007-01-19 10:25:13PeterWatson12007-01-19 10:24:42PeterWatson

Weaver and Koopman (2014) use SPSS macros available from here to obtain confidence intervals for each element of a matrix of Pearson correlations showing associations between variables. This method is also suggested by Howell (2002) and has advantages over using 95% confidence intervals based upon regression coefficients of standardised variables in giving asymmetric intervals which are contained within the range [-1,1] and is, therefore, to be preferred. A 95% confidence interval using the backtransformed Fisher transformation for a single Pearson correlation may also be computed using this on-line calculator. References Bonett DG (2019) Point-biserial correlation: Interval estimation,hypothesis testing, meta-analysis, and sample size determination. To appear British Journal of Mathematical and Statistical Psychology. Confidence intervals for different types of bi-serial correlations used as alternative two group effect sizes to Cohen's d. Howell DC (2002) Statistical Methods for Psychologists. Fifth Edition. Wadsworth:Pacific Grove, CA. Weaver B and Koopman R (2014) An SPSS Macro to Compute Confidence Intervals for Pearson’s Correlation. To appear in The Quantitative Methods for Psychology in Spring 2014.