diff --git a/faq/how_can_i_test_an_interaction_effect_using_cluster-based_permutation_tests.md b/faq/how_can_i_test_an_interaction_effect_using_cluster-based_permutation_tests.md
index 15722f8e2..50db580a3 100644
--- a/faq/how_can_i_test_an_interaction_effect_using_cluster-based_permutation_tests.md
+++ b/faq/how_can_i_test_an_interaction_effect_using_cluster-based_permutation_tests.md
@@ -5,7 +5,7 @@ tags: [faq, statistics]
 
 # How to test an interaction effect using cluster-based permutation tests?
 
-You can use cluster-based permutation tests for some but not for all interaction effects. This FAQ section covers how to test interaction effects based on corresponding t-values. You can also test interaction effects based on F-values. For a comparison of both procedures, see [Should I use t or F values for cluster-based permutation tests](/faq/should_I_use_t_or_F_values_for_cluster-based_permutation_tests.md).
+You can use cluster-based permutation tests for some but not for all interaction effects. This FAQ section covers how to test interaction effects based on corresponding t-values. You can also test interaction effects based on F-values. For a comparison of both procedures, see [Should I use t or F values for cluster-based permutation tests](/faq/should_I_use_t_or_F_values_for_cluster-based_permutation_tests).
 
 ## A 2-by-2 factorial design