diff --git a/DESCRIPTION b/DESCRIPTION
index f32873fbb..70cc906d6 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Type: Package
 Package: parameters
 Title: Processing of Model Parameters
-Version: 0.22.2.10
+Version: 0.22.2.11
 Authors@R:
     c(person(given = "Daniel",
              family = "Lüdecke",
diff --git a/R/p_significance.R b/R/p_significance.R
index 603e7ed5a..dc3d02091 100644
--- a/R/p_significance.R
+++ b/R/p_significance.R
@@ -157,19 +157,34 @@ p_significance.lm <- function(x, threshold = "default", ci = 0.95, verbose = TRU
   }
 
   # add ps
-  out$ps <- as.numeric(bayestestR::p_significance(
+  result_ps <- bayestestR::p_significance(
     posterior,
     threshold = threshold,
     verbose = verbose
-  ))
+  )
+  out$ps <- as.numeric(result_ps)
+
+  # for list-thresholds, we have the list as attribute and need to save it as
+  # data.frame
+  if (is.list(threshold)) {
+    # save for later
+    threshold_data <- stats::setNames(
+      as.data.frame(do.call(rbind, attributes(result_ps)$threshold)),
+      c("ROPE_low", "ROPE_high")
+    )
+    out <- cbind(out, threshold_data)
+    keep <- c("Parameter", "CI", "CI_low", "CI_high", "ROPE_low", "ROPE_high", "ps", "Effects", "Component")
+  } else {
+    keep <- c("Parameter", "CI", "CI_low", "CI_high", "ps", "Effects", "Component")
+  }
 
   # for plot, we need to have it numeric
-  if (!is.numeric(threshold)) {
+  if (!is.numeric(threshold) && !is.list(threshold)) {
     threshold <- 0.1
   }
 
-  # reorder
-  out <- out[intersect(c("Parameter", "CI", "CI_low", "CI_high", "ps", "Effects", "Component"), colnames(out))]
+  # Reorder columns of 'out' to keep only the relevant ones
+  out <- out[intersect(keep, colnames(out))]
 
   attr(out, "data") <- posterior
   attr(out, "threshold") <- threshold
@@ -236,18 +251,23 @@ p_significance.lm <- function(x, threshold = "default", ci = 0.95, verbose = TRU
 #' @export
 print.p_significance_lm <- function(x, digits = 2, ...) {
   threshold <- attributes(x)$threshold
-  # make sure it's numeric
-  if (!is.numeric(threshold)) {
-    threshold <- 0.1
-  }
-  # make sure we have both bounds for the range
-  if (length(threshold) == 1) {
-    threshold <- c(threshold * -1, threshold)
+  # Check if threshold is a list, which indicates multiple thresholds
+  if (is.list(threshold)) {
+    caption <- "Practical Significance"
+  } else {
+    # make sure it's numeric
+    if (!is.numeric(threshold)) {
+      threshold <- 0.1
+    }
+    # make sure we have both bounds for the range
+    if (length(threshold) == 1) {
+      threshold <- c(threshold * -1, threshold)
+    }
+    caption <- sprintf(
+      "Practical Significance (threshold: %s)",
+      toString(insight::format_value(threshold, digits = 2))
+    )
   }
-  caption <- sprintf(
-    "Practical Significance (threshold: %s)",
-    toString(insight::format_value(threshold, digits = 2))
-  )
   x$ps <- insight::format_pd(x$ps, name = NULL)
   x <- insight::format_table(x, digits = digits)
   cat(insight::export_table(x, title = caption, ...))
diff --git a/man/model_parameters.BFBayesFactor.Rd b/man/model_parameters.BFBayesFactor.Rd
index 5bb4ecf8e..9b67ccb4f 100644
--- a/man/model_parameters.BFBayesFactor.Rd
+++ b/man/model_parameters.BFBayesFactor.Rd
@@ -49,9 +49,10 @@ For each "test", the corresponding \pkg{bayestestR} function is called
 (e.g. \code{\link[bayestestR:rope]{rope()}} or \code{\link[bayestestR:p_direction]{p_direction()}}) and its results
 included in the summary output.}
 
-\item{rope_range}{ROPE's lower and higher bounds. Should be a list of two
-values (e.g., \code{c(-0.1, 0.1)}) or \code{"default"}. If \code{"default"},
-the bounds are set to \code{x +- 0.1*SD(response)}.}
+\item{rope_range}{ROPE's lower and higher bounds. Should be a vector of two
+values (e.g., \code{c(-0.1, 0.1)}), \code{"default"} or a list of numeric vectors of
+the same length as numbers of parameters. If \code{"default"}, the bounds are
+set to \code{x +- 0.1*SD(response)}.}
 
 \item{rope_ci}{The Credible Interval (CI) probability, corresponding to the
 proportion of HDI, to use for the percentage in ROPE.}
diff --git a/man/model_parameters.stanreg.Rd b/man/model_parameters.stanreg.Rd
index ef2f3f623..57095a54b 100644
--- a/man/model_parameters.stanreg.Rd
+++ b/man/model_parameters.stanreg.Rd
@@ -131,9 +131,10 @@ For each "test", the corresponding \pkg{bayestestR} function is called
 (e.g. \code{\link[bayestestR:rope]{rope()}} or \code{\link[bayestestR:p_direction]{p_direction()}}) and its results
 included in the summary output.}
 
-\item{rope_range}{ROPE's lower and higher bounds. Should be a list of two
-values (e.g., \code{c(-0.1, 0.1)}) or \code{"default"}. If \code{"default"},
-the bounds are set to \code{x +- 0.1*SD(response)}.}
+\item{rope_range}{ROPE's lower and higher bounds. Should be a vector of two
+values (e.g., \code{c(-0.1, 0.1)}), \code{"default"} or a list of numeric vectors of
+the same length as numbers of parameters. If \code{"default"}, the bounds are
+set to \code{x +- 0.1*SD(response)}.}
 
 \item{rope_ci}{The Credible Interval (CI) probability, corresponding to the
 proportion of HDI, to use for the percentage in ROPE.}
diff --git a/man/p_significance.lm.Rd b/man/p_significance.lm.Rd
index 37a0adb36..a01e64c36 100644
--- a/man/p_significance.lm.Rd
+++ b/man/p_significance.lm.Rd
@@ -18,7 +18,11 @@ and based on \code{\link[bayestestR:rope_range]{rope_range()}} if a (Bayesian) m
 (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 a list of \emph{named} numeric vectors, where names correspond to parameter
+names. In this case, all parameters that have no matching name in \code{threshold}
+will be set to \code{"default"}.
 }}
 
 \item{ci}{Confidence Interval (CI) level. Default to \code{0.95} (\verb{95\%}).}
diff --git a/tests/testthat/test-p_significance.R b/tests/testthat/test-p_significance.R
index 9de21d3cc..16c71f4f2 100644
--- a/tests/testthat/test-p_significance.R
+++ b/tests/testthat/test-p_significance.R
@@ -22,6 +22,11 @@ test_that("p_significance", {
   set.seed(123)
   x <- p_significance(m, threshold = 0.5)
   expect_equal(x$ps, c(1, 0.4393, 0.9969, 0.6803, 0), tolerance = 1e-4)
+
+  set.seed(123)
+  # Test p_significance with custom thresholds for specific parameters
+  x <- p_significance(m, threshold = list(cyl = 0.5, wt = 0.7))
+  expect_equal(x$ps, c(1, 0.6002, 0.995, 0.6805, 0), tolerance = 1e-4)
 })
 
 test_that("p_significance, glmmTMB", {