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| Weaver and Koopman (2014) use SPSS macros [[https://sites.google.com/a/lakeheadu.ca/bweaver/Home/statistics/spss/my-spss-page/rhoci | here]] to obtain a 95% confidence interval for each element of a matrix of Pearson correlations showing associations between variables. | Weaver and Koopman (2014) use SPSS macros [[https://sites.google.com/a/lakeheadu.ca/bweaver/Home/statistics/spss/my-spss-page/rhoci | here]] to obtain confidence intervals for each element of a matrix of Pearson correlations showing associations between variables. |
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| 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. | 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. |
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| A 95% confidence interval using the backtransformed Fisher transformation for a single Pearson correlation may also be computed using this | A 95% confidence interval using the backtransformed Fisher transformation for a ''single'' Pearson correlation may also be computed using this |
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| Weaver B and Koopman R (2014) An SPSS Macro to Compute Confidence Intervals for Pearson’s Correlation. To appear in | 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. |
How do I obtain 95% Confidence Intervals for a (Pearson) correlation in SPSS?
Weaver and Koopman (2014) use SPSS macros 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
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.