stat significance nr times ranked 1st

XX_statistical_significance.script.py

@@ -329,4 +329,42 @@ S.plot_significance_heatmap(
     metadata=_meta_male_top_vis,
     title="Male Voices (Excl. Bottom 3): Total Mentions Significance"
 )
+
+# %% [markdown]
+"""
+# Rank 1 Selection Significance (Voice Level)
+
+Similar to the Total Mentions significance analysis above, but counting
+only how many times each voice was ranked **1st** (out of all respondents).
+This isolates first-choice preference rather than overall top-3 visibility.
+"""
+
+# %% Rank 1 Significance: All Voices
+
+_pairwise_df_rank1, _meta_rank1 = S.compute_rank1_significance(
+    top3_voices,
+    alpha=0.05,
+    correction="none",
+)
+
+S.plot_significance_heatmap(
+    _pairwise_df_rank1,
+    metadata=_meta_rank1,
+    title="Statistical Significance: Voice Rank 1 Selection"
+)
+
+# %% Rank 1 Significance: Male Voices Only
+
+_pairwise_df_rank1_male, _meta_rank1_male = S.compute_rank1_significance(
+    df_male_voices,
+    alpha=0.05,
+    correction="none",
+)
+
+S.plot_significance_heatmap(
+    _pairwise_df_rank1_male,
+    metadata=_meta_rank1_male,
+    title="Male Voices Only: Rank 1 Selection Significance"
+)
+
 # %%