20250106 - cross-ref

sem.Rmd

@@ -1381,7 +1381,7 @@ moderationModelSimpleSlopesFit_parameters
 A simple slope of the predictor on the outcome is considered significant at a given level of the moderator if the 95% confidence interval from the bootstrapped estimates of the simple slopes at that level of the moderator (i.e., [`ci.lower`,`ci.upper`]) does not include zero.
 In this particular model, the predictor (`Illiteracy`) is not significant at any of the levels of the moderator (`Murder`), because the 95% confidence intervals of all simple slopes include zero, in this case, likely due to a small sample size ($N = 50$) and the resulting low power.
 
-## Johnson-Neyman Plot
+## Johnson-Neyman Plot {#johnsonNeymanPlot}
 
 As I noted above, the predictor is not significant at any levels of the moderator.
 Nevertheless, I created a made up Johnson-Neyman plot by specifying the (fictitious) range of significance, for purposes of demonstration.