diff --git a/python/pyspark/pandas/frame.py b/python/pyspark/pandas/frame.py
index ec6b261df4..e5767891a1 100644
--- a/python/pyspark/pandas/frame.py
+++ b/python/pyspark/pandas/frame.py
@@ -7394,31 +7394,37 @@ defaultdict(<class 'list'>, {'col..., 'col...})]
                 if col in values:
                     item = values[col]
                     item = item.tolist() if isinstance(item, np.ndarray) else list(item)
-                    data_spark_columns.append(
-                        self._internal.spark_column_for(self._internal.column_labels[i])
-                        .isin(item)
-                        .alias(self._internal.data_spark_column_names[i])
+
+                    scol = self._internal.spark_column_for(self._internal.column_labels[i]).isin(
+                        [SF.lit(v) for v in item]
                     )
+                    scol = F.coalesce(scol, F.lit(False))
                 else:
-                    data_spark_columns.append(
-                        SF.lit(False).alias(self._internal.data_spark_column_names[i])
-                    )
+                    scol = SF.lit(False)
+                data_spark_columns.append(scol.alias(self._internal.data_spark_column_names[i]))
         elif is_list_like(values):
             values = (
                 cast(np.ndarray, values).tolist()
                 if isinstance(values, np.ndarray)
                 else list(values)
             )
-            data_spark_columns += [
-                self._internal.spark_column_for(label)
-                .isin(values)
-                .alias(self._internal.spark_column_name_for(label))
-                for label in self._internal.column_labels
-            ]
+
+            for label in self._internal.column_labels:
+                scol = self._internal.spark_column_for(label).isin([SF.lit(v) for v in values])
+                scol = F.coalesce(scol, F.lit(False))
+                data_spark_columns.append(scol.alias(self._internal.spark_column_name_for(label)))
         else:
             raise TypeError("Values should be iterable, Series, DataFrame or dict.")
 
-        return DataFrame(self._internal.with_new_columns(data_spark_columns))
+        return DataFrame(
+            self._internal.with_new_columns(
+                data_spark_columns,
+                data_fields=[
+                    field.copy(dtype=np.dtype("bool"), spark_type=BooleanType(), nullable=False)
+                    for field in self._internal.data_fields
+                ],
+            )
+        )
 
     @property
     def shape(self) -> Tuple[int, int]:
diff --git a/python/pyspark/pandas/tests/test_dataframe.py b/python/pyspark/pandas/tests/test_dataframe.py
index 11da18cfa2..27c670026d 100644
--- a/python/pyspark/pandas/tests/test_dataframe.py
+++ b/python/pyspark/pandas/tests/test_dataframe.py
@@ -1954,6 +1954,41 @@ class DataFrameTest(PandasOnSparkTestCase, SQLTestUtils):
         with self.assertRaisesRegex(TypeError, msg):
             psdf.isin(1)
 
+        pdf = pd.DataFrame(
+            {
+                "a": [4, 2, 3, 4, 8, 6],
+                "b": [1, None, 9, 4, None, 4],
+                "c": [None, 5, None, 3, 2, 1],
+            },
+        )
+        psdf = ps.from_pandas(pdf)
+
+        if LooseVersion(pd.__version__) >= LooseVersion("1.2"):
+            self.assert_eq(psdf.isin([4, 3, 1, 1, None]), pdf.isin([4, 3, 1, 1, None]))
+        else:
+            expected = pd.DataFrame(
+                {
+                    "a": [True, False, True, True, False, False],
+                    "b": [True, False, False, True, False, True],
+                    "c": [False, False, False, True, False, True],
+                }
+            )
+            self.assert_eq(psdf.isin([4, 3, 1, 1, None]), expected)
+
+        if LooseVersion(pd.__version__) >= LooseVersion("1.2"):
+            self.assert_eq(
+                psdf.isin({"b": [4, 3, 1, 1, None]}), pdf.isin({"b": [4, 3, 1, 1, None]})
+            )
+        else:
+            expected = pd.DataFrame(
+                {
+                    "a": [False, False, False, False, False, False],
+                    "b": [True, False, False, True, False, True],
+                    "c": [False, False, False, False, False, False],
+                }
+            )
+            self.assert_eq(psdf.isin({"b": [4, 3, 1, 1, None]}), expected)
+
     def test_merge(self):
         left_pdf = pd.DataFrame(
             {