- corr_svy displays the
**correlation**matrix for varlist. Optional significance levels are calculated, based on survey-based variance estimates for the**correlations**. It allows any or all of the following: probability sampling weights, stratification, and clustering. The subpop() option will give estimates for a single subpopulation. - [
**SVY**] survey, for an introduction to**Stata**’s survey commands. Remarks and examples This manual documents the survey data commands and is referred to as [**SVY**] in references. After this entry,[**SVY**] survey provides an overview of the survey commands. This manual is arranged alphabetically. If you are new to**Stata**’s survey data commands, we ... **Stata**Output of a Spearman's**correlation**in**Stata**. If your data passed assumption #2 (i.e., there was a monotonic relationship between your two variables), which we explained earlier in the Assumptions section, you will only need to interpret the following Spearman's**correlation**output in- RSS syndicated content from
**Statalist**, a discussion listserv generated by users of StataCorp**Stata**statistical analysis software. Subscribe to the RSS feed using the links provided in the sidebar. You must join the listserv in order to respond to, or add, new posts. For more information on**Statalist**, click on the '**Statalist**FAQ' link in the. - Nov 23, 2016 · The basic code for pairwise
**Correlation**is: pwcorr VariableA VariableB. In case one wants**STATA**to produce a p-value (statistically significance level), one needs to add sig, at the end of the command like shown below: pwcorr VariableA VariableB, sig. In case the researcher wants to determine if the results are significant at a ...