{smcl} {hline} help for {hi:svrcorr} {hline} {title:Correlations of variables for survey data, with with replication-based standard errors} {p 8 17}{cmd:svrcorr}{space 2}[{it:varlist}] [{cmd:if} {it:exp}] [{cmd:in} {it:range}] [{cmd:,} {cmd:pw} {cmdab:o:bs} {cmd:sig} {cmdab:p:rint(}{it:#}{cmd:)} {cmdab:st:ar(}{it:#}{cmd:)} {cmdab:b:onferroni} {cmdab:sid:ak} {cmd:by} {it:...} {cmd::} may be used with the above commands; see {help by}. {title:Description} {p}{cmd:svrcorr} displays the correlation matrix for {it:varlist} or, if {it:varlist} is not specified, for all variables in the data. Observations are excluded from the calculation due to missing values on a casewise basis, unless the {cmd:pw} option is specified. {p}Significance levels of the correlations are based on standard errors that are calculated using a series of user-supplied replication weights, by balanced repeated replication (BRR) or the survey jackknife (JK1, JK2, or JKn). This is an alternate method to the Taylor series linearization methods used by Stata's {help svy} commands. See {help survwgt} for details on the creation of weights and estimation of variances with replication. {title:Options} {p 0 4}{cmd:pw} specifies that observations are to be excluded from the calculations on a pairwise basis. The default is casewise. {p 0 4}{cmd:obs} adds a line to each row of the matrix reporting the number of observations used in calculating the correlation coefficient. {p 0 4}{cmd:sig} adds a line to each row of the matrix reporting the significance level of each correlation coefficient. {p 0 4}{cmd:print(}{it:#}{cmd:)} specifies the significance level of correlation coefficients to be printed. Coefficients with larger significance levels are left blank. {cmd:print(10)} or {cmd:print(.1)} would list only coefficients significant at the 10% level or better. {p 0 4}{cmd:star(}{it:#}{cmd:)} specifies the significance level of coefficients to be starred. {cmd:star(5)} or {cmd:star(.05)} would star all coefficients significant at the 5% level or better. {p 0 4}{cmd:bonferroni} makes the Bonferroni adjustment to calculated significance levels. This affects printed significance levels and the {cmd:print()} and {cmd:star()} options. {cmd:"pwcorr, print(.05) bonferroni"} prints coefficients with Bonferroni-adjusted significance levels of .05 or less. {p 0 4}{cmd:sidak} makes the Sidak adjustment to calculated significance levels. This affects printed significance levels and the {cmd:print()} and {cmd:star()} options. {cmd:"pwcorr, print(.05) sidak"} prints coefficients with Sidak-adjusted significance levels of .05 or less. {title:Examples} {p 8 12}{inp:. svrcorr dvcrate medage {p 8 12}{inp:. svrcorr mrgrate dvcrate medage, pw obs sig} {title:Methods and formulae} {p}See {help survwgt} for details of the replication methods. {p}For calculation of variances and significances, the correlations are first transformed using Fisher's Z transformation, in order to normalize the distribution. {title:Saved Results} {p}{cmd:svrcorr} saves in r() the following for the last-calculated correlation: rho the estimated correlation coefficient N the number of observations p the p-level {title:Acknowledgements} {p}These commands consists largely of the ado file code from official Stata's {cmd:pwcorr} command. I would like to thank Bobby Gutierrez at StataCorp for advice on implementation of BRR. {title:Author} Nick Winter Cornell University nw53@cornell.edu