flag up issues are statistical

Author: drbenvincent

examples/causal_inference/moderation_analysis.ipynb

@@ -957,7 +957,7 @@
    "source": [
     "## Related issues: mean centering and multicollinearity\n",
     "\n",
-    "Readers should be aware that there are issues around mean-centering and multicollinearity. The original [SPSS Moderation Regression Tutorial](https://www.spss-tutorials.com/spss-regression-with-moderation-interaction-effect/) did mean-centre the predictor variables $x$ and $m$. This will have a downstream effect upon the interaction term $x \\cdot m$.\n",
+    "Readers should be aware that there are statistical issues around mean-centering and multicollinearity. The original [SPSS Moderation Regression Tutorial](https://www.spss-tutorials.com/spss-regression-with-moderation-interaction-effect/) did mean-centre the predictor variables $x$ and $m$. This will have a downstream effect upon the interaction term $x \\cdot m$.\n",
     "\n",
     "One effect of mean centering is to change the interpretation of the parameter estimates. In this notebook, we did not mean center the variables which will affect the parameter estimates and their interpretation. It is not that one is correct or incorrect, but one must be cognisant of how mean-centering (or not) affects the interpretation of parameter estimates. Readers are again directed to {cite:t}`hayes2017introduction` for a more in-depth consideration of mean-centering in moderation analyses.\n",
     "\n",

examples/causal_inference/moderation_analysis.myst.md

@@ -432,7 +432,7 @@ The expression $\beta_1 + \beta_2 \cdot \text{moderator}$ defines the rate of ch
 
 ## Related issues: mean centering and multicollinearity
 
-Readers should be aware that there are issues around mean-centering and multicollinearity. The original [SPSS Moderation Regression Tutorial](https://www.spss-tutorials.com/spss-regression-with-moderation-interaction-effect/) did mean-centre the predictor variables $x$ and $m$. This will have a downstream effect upon the interaction term $x \cdot m$.
+Readers should be aware that there are statistical issues around mean-centering and multicollinearity. The original [SPSS Moderation Regression Tutorial](https://www.spss-tutorials.com/spss-regression-with-moderation-interaction-effect/) did mean-centre the predictor variables $x$ and $m$. This will have a downstream effect upon the interaction term $x \cdot m$.
 
 One effect of mean centering is to change the interpretation of the parameter estimates. In this notebook, we did not mean center the variables which will affect the parameter estimates and their interpretation. It is not that one is correct or incorrect, but one must be cognisant of how mean-centering (or not) affects the interpretation of parameter estimates. Readers are again directed to {cite:t}`hayes2017introduction` for a more in-depth consideration of mean-centering in moderation analyses.