diff --git a/R/p_significance.R b/R/p_significance.R
index 7c1e01898..e9027d420 100644
--- a/R/p_significance.R
+++ b/R/p_significance.R
@@ -15,7 +15,8 @@
 #'   (i.e. the threshold range is set to -0.1 and 0.1, i.e. reflects a symmetric
 #'   interval)
 #' - a numeric vector of length two (e.g., `c(-0.2, 0.1)`), useful for
-#'   asymmetric intervals.
+#'   asymmetric intervals
+#' - a list of numeric vectors, where each vector corresponds to a parameter.
 #' @inheritParams rope
 #' @inheritParams hdi
 #'
@@ -53,6 +54,8 @@
 #'   chains = 2, refresh = 0
 #' )
 #' p_significance(model)
+#' # multiple thresholds
+#' p_significance(model, threshold = list(c(-10, 5), c(-0.2, 0.2), "default"))
 #' }
 #' @export
 p_significance <- function(x, ...) {
diff --git a/man/p_significance.Rd b/man/p_significance.Rd
index 30b2170e5..1e4ad290c 100644
--- a/man/p_significance.Rd
+++ b/man/p_significance.Rd
@@ -59,7 +59,8 @@ and based on \code{\link[=rope_range]{rope_range()}} if a (Bayesian) model is pr
 (i.e. the threshold range is set to -0.1 and 0.1, i.e. reflects a symmetric
 interval)
 \item a numeric vector of length two (e.g., \code{c(-0.2, 0.1)}), useful for
-asymmetric intervals.
+asymmetric intervals
+\item a list of numeric vectors, where each vector corresponds to a parameter.
 }}
 
 \item{use_iterations}{Logical, if \code{TRUE} and \code{x} is a \code{get_predicted} object,
@@ -131,6 +132,8 @@ model <- rstanarm::stan_glm(mpg ~ wt + cyl,
   chains = 2, refresh = 0
 )
 p_significance(model)
+# multiple thresholds
+p_significance(model, threshold = list(c(-10, 5), c(-0.2, 0.2), "default"))
 }
 \dontshow{\}) # examplesIf}
 }