diff --git a/doc/source/whatsnew/v1.5.0.rst b/doc/source/whatsnew/v1.5.0.rst
index 931d18dc349f3..7828e05892887 100644
--- a/doc/source/whatsnew/v1.5.0.rst
+++ b/doc/source/whatsnew/v1.5.0.rst
@@ -125,6 +125,7 @@ Other enhancements
 - Added ``validate`` argument to :meth:`DataFrame.join` (:issue:`46622`)
 - A :class:`errors.PerformanceWarning` is now thrown when using ``string[pyarrow]`` dtype with methods that don't dispatch to ``pyarrow.compute`` methods (:issue:`42613`)
 - Added ``numeric_only`` argument to :meth:`Resampler.sum`, :meth:`Resampler.prod`, :meth:`Resampler.min`, :meth:`Resampler.max`, :meth:`Resampler.first`, and :meth:`Resampler.last` (:issue:`46442`)
+- Added validation of boolean kwargs in string series and DataFrame methods, along with tests (:issue:`16714`)
 
 .. ---------------------------------------------------------------------------
 .. _whatsnew_150.notable_bug_fixes:
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index ef5e6dd1d6757..073df7b512b88 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -95,6 +95,7 @@
     validate_axis_style_args,
     validate_bool_kwarg,
     validate_percentile,
+    validate_bool_kwargs_from_keywords,
 )
 
 from pandas.core.dtypes.cast import (
@@ -816,6 +817,7 @@ def __init__(
         NDFrame.__init__(self, mgr)
 
     # ----------------------------------------------------------------------
+    @validate_bool_kwargs_from_keywords('nan_as_null', 'allow_copy')
     def __dataframe__(
         self, nan_as_null: bool = False, allow_copy: bool = True
     ) -> DataFrameXchg:
@@ -986,6 +988,7 @@ def _repr_fits_vertical_(self) -> bool:
         max_rows = get_option("display.max_rows")
         return len(self) <= max_rows
 
+    @validate_bool_kwargs_from_keywords('ignore_width')
     def _repr_fits_horizontal_(self, ignore_width: bool = False) -> bool:
         """
         Check if full repr fits in horizontal boundaries imposed by the display
@@ -1165,6 +1168,7 @@ def to_string(
         "references the column, while the value defines the space to use.",
     )
     @Substitution(shared_params=fmt.common_docstring, returns=fmt.return_docstring)
+    @validate_bool_kwargs_from_keywords('index', 'index_names', 'show_dimensions')
     def to_string(
         self,
         buf: FilePath | WriteBuffer[str] | None = None,
@@ -1379,7 +1383,7 @@ def iterrows(self) -> Iterable[tuple[Hashable, Series]]:
         for k, v in zip(self.index, self.values):
             s = klass(v, index=columns, name=k).__finalize__(self)
             yield k, s
-
+    @validate_bool_kwargs_from_keywords('index')
     def itertuples(
         self, index: bool = True, name: str | None = "Pandas"
     ) -> Iterable[tuple[Any, ...]]:
@@ -1740,6 +1744,7 @@ def create_index(indexlist, namelist):
             columns = create_index(data["columns"], data["column_names"])
             return cls(realdata, index=index, columns=columns, dtype=dtype)
 
+    @validate_bool_kwargs_from_keywords('copy')
     def to_numpy(
         self,
         dtype: npt.DTypeLike | None = None,
@@ -2011,6 +2016,7 @@ def to_dict(self, orient: str = "dict", into=dict):
         else:
             raise ValueError(f"orient '{orient}' not understood")
 
+    @validate_bool_kwargs_from_keywords('reauth', 'auth_local_webserver', 'progress_bar')
     def to_gbq(
         self,
         destination_table: str,
@@ -2496,6 +2502,7 @@ def to_records(
         return np.rec.fromarrays(arrays, dtype={"names": names, "formats": formats})
 
     @classmethod
+    @validate_bool_kwargs_from_keywords('verify_integrity')
     def _from_arrays(
         cls,
         arrays,
@@ -2550,6 +2557,7 @@ def _from_arrays(
         compression_options=_shared_docs["compression_options"] % "path",
     )
     @deprecate_kwarg(old_arg_name="fname", new_arg_name="path")
+    @validate_bool_kwargs_from_keywords('write_index')
     def to_stata(
         self,
         path: FilePath | WriteBuffer[bytes],
@@ -2911,6 +2919,7 @@ def to_parquet(
         "                Ability to use str",
     )
     @Substitution(shared_params=fmt.common_docstring, returns=fmt.return_docstring)
+    @validate_bool_kwargs_from_keywords('index', 'index_names', 'bold_rows', 'escape', 'notebook', 'render_links')
     def to_html(
         self,
         buf: FilePath | WriteBuffer[str] | None = None,
@@ -3001,6 +3010,7 @@ def to_html(
         storage_options=_shared_docs["storage_options"],
         compression_options=_shared_docs["compression_options"] % "path_or_buffer",
     )
+    @validate_bool_kwargs_from_keywords('index')
     def to_xml(
         self,
         path_or_buffer: FilePath | WriteBuffer[bytes] | WriteBuffer[str] | None = None,
@@ -3233,6 +3243,7 @@ def info(
             show_counts=show_counts,
         )
 
+    @validate_bool_kwargs_from_keywords('index', 'deep')
     def memory_usage(self, index: bool = True, deep: bool = False) -> Series:
         """
         Return the memory usage of each column in bytes.
@@ -3333,6 +3344,7 @@ def memory_usage(self, index: bool = True, deep: bool = False) -> Series:
             result = index_memory_usage._append(result)
         return result
 
+    @validate_bool_kwargs_from_keywords('copy')
     def transpose(self, *args, copy: bool = False) -> DataFrame:
         """
         Transpose index and columns.
@@ -3652,6 +3664,7 @@ def _getitem_multilevel(self, key):
             # loc is neither a slice nor ndarray, so must be an int
             return self._ixs(loc, axis=1)
 
+    @validate_bool_kwargs_from_keywords('takeable')
     def _get_value(self, index, col, takeable: bool = False) -> Scalar:
         """
         Quickly retrieve single value at passed column and index.
@@ -4004,6 +4017,7 @@ def _reset_cacher(self) -> None:
         # no-op for DataFrame
         pass
 
+    @validate_bool_kwargs_from_keywords('inplace')
     def _maybe_cache_changed(self, item, value: Series, inplace: bool) -> None:
         """
         The object has called back to us saying maybe it has changed.
@@ -4021,6 +4035,7 @@ def _maybe_cache_changed(self, item, value: Series, inplace: bool) -> None:
     # ----------------------------------------------------------------------
     # Unsorted
 
+    @validate_bool_kwargs_from_keywords('inplace')
     def query(self, expr: str, inplace: bool = False, **kwargs):
         """
         Query the columns of a DataFrame with a boolean expression.
@@ -4186,6 +4201,7 @@ def query(self, expr: str, inplace: bool = False, **kwargs):
         else:
             return result
 
+    @validate_bool_kwargs_from_keywords('inplace')
     def eval(self, expr: str, inplace: bool = False, **kwargs):
         """
         Evaluate a string describing operations on DataFrame columns.
@@ -4758,6 +4774,7 @@ def _reindex_multi(
             )
 
     @doc(NDFrame.align, **_shared_doc_kwargs)
+    @validate_bool_kwargs_from_keywords('copy')
     def align(
         self,
         other,
@@ -4844,6 +4861,7 @@ def set_axis(
         see_also_sub=" or columns",
     )
     @Appender(NDFrame.set_axis.__doc__)
+    @validate_bool_kwargs_from_keywords('inplace')
     def set_axis(self, labels, axis: Axis = 0, inplace: bool = False):
         return super().set_axis(labels, axis=axis, inplace=inplace)
 
@@ -4913,6 +4931,7 @@ def drop(
     # error: Signature of "drop" incompatible with supertype "NDFrame"
     # github.com/python/mypy/issues/12387
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "labels"])
+    @validate_bool_kwargs_from_keywords('inplace')
     def drop(  # type: ignore[override]
         self,
         labels: Hashable | list[Hashable] = None,
@@ -5115,6 +5134,7 @@ def rename(
     ) -> DataFrame | None:
         ...
 
+    @validate_bool_kwargs_from_keywords('inplace', 'copy')
     def rename(
         self,
         mapper: Renamer | None = None,
@@ -5362,6 +5382,7 @@ def fillna(
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "value"])
     @doc(NDFrame.fillna, **_shared_doc_kwargs)
+    @validate_bool_kwargs_from_keywords('inplace')
     def fillna(
         self,
         value: object | ArrayLike | None = None,
@@ -5423,6 +5444,7 @@ def pop(self, item: Hashable) -> Series:
         """
         return super().pop(item=item)
 
+    @validate_bool_kwargs_from_keywords('inplace')
     @doc(NDFrame.replace, **_shared_doc_kwargs)
     def replace(
         self,
@@ -5559,6 +5581,7 @@ def shift(
         )
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "keys"])
+    @validate_bool_kwargs_from_keywords('inplace', 'drop', 'append', 'verify_integrity')
     def set_index(
         self,
         keys,
@@ -5838,6 +5861,7 @@ def reset_index(
         ...
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "level"])
+    @validate_bool_kwargs_from_keywords('inplace', 'drop')
     def reset_index(
         self,
         level: Hashable | Sequence[Hashable] | None = None,
@@ -6110,6 +6134,7 @@ def notnull(self) -> DataFrame:
         return ~self.isna()
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self"])
+    @validate_bool_kwargs_from_keywords('inplace')
     def dropna(
         self,
         axis: Axis = 0,
@@ -6273,6 +6298,7 @@ def dropna(
             return result
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "subset"])
+    @validate_bool_kwargs_from_keywords('inplace', 'ignore_index')
     def drop_duplicates(
         self,
         subset: Hashable | Sequence[Hashable] | None = None,
@@ -6519,6 +6545,7 @@ def f(vals) -> tuple[np.ndarray, int]:
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "by"])
     @Substitution(**_shared_doc_kwargs)
     @Appender(NDFrame.sort_values.__doc__)
+    @validate_bool_kwargs_from_keywords('inplace', 'ignore_index')
     # error: Signature of "sort_values" incompatible with supertype "NDFrame"
     def sort_values(  # type: ignore[override]
         self,
@@ -6642,6 +6669,7 @@ def sort_index(
 
     # error: Signature of "sort_index" incompatible with supertype "NDFrame"
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self"])
+    @validate_bool_kwargs_from_keywords('inplace', 'sort_remaining', 'ignore_index')
     def sort_index(  # type: ignore[override]
         self,
         axis: Axis = 0,
@@ -6755,6 +6783,7 @@ def sort_index(  # type: ignore[override]
             key=key,
         )
 
+    @validate_bool_kwargs_from_keywords('normalize', 'sort', 'ascending', 'dropna')
     def value_counts(
         self,
         subset: Sequence[Hashable] | None = None,
@@ -7482,6 +7511,7 @@ def __rdivmod__(self, other) -> tuple[DataFrame, DataFrame]:
 """,
         klass=_shared_doc_kwargs["klass"],
     )
+    @validate_bool_kwargs_from_keywords('keep_shape', 'keep_equal')
     def compare(
         self,
         other: DataFrame,
@@ -7496,6 +7526,7 @@ def compare(
             keep_equal=keep_equal,
         )
 
+    @validate_bool_kwargs_from_keywords('overwrite')
     def combine(
         self, other: DataFrame, func, fill_value=None, overwrite: bool = True
     ) -> DataFrame:
@@ -7741,6 +7772,7 @@ def combiner(x, y):
 
         return combined
 
+    @validate_bool_kwargs_from_keywords('overwrite')
     def update(
         self,
         other,
@@ -8000,6 +8032,7 @@ def update(
 """
     )
     @Appender(_shared_docs["groupby"] % _shared_doc_kwargs)
+    @validate_bool_kwargs_from_keywords('as_index', 'sort', 'observed', 'dropna')
     def groupby(
         self,
         by=None,
@@ -8373,6 +8406,7 @@ def pivot_table(
             sort=sort,
         )
 
+    @validate_bool_kwargs_from_keywords('dropna')
     def stack(self, level: Level = -1, dropna: bool = True):
         """
         Stack the prescribed level(s) from columns to index.
@@ -8548,6 +8582,7 @@ def stack(self, level: Level = -1, dropna: bool = True):
 
         return result.__finalize__(self, method="stack")
 
+    @validate_bool_kwargs_from_keywords('ignore_index')
     def explode(
         self,
         column: IndexLabel,
@@ -9003,6 +9038,7 @@ def transform(
         assert isinstance(result, DataFrame)
         return result
 
+    @validate_bool_kwargs_from_keywords('raw')
     def apply(
         self,
         func: AggFuncType,
@@ -9250,6 +9286,7 @@ def infer(x):
     # ----------------------------------------------------------------------
     # Merging / joining methods
 
+    @validate_bool_kwargs_from_keywords('ignore_index', 'verify_integrity', 'sort')
     def append(
         self,
         other,
@@ -9362,6 +9399,7 @@ def append(
 
         return self._append(other, ignore_index, verify_integrity, sort)
 
+    @validate_bool_kwargs_from_keywords('ignore_index', 'verify_integrity', 'sort')
     def _append(
         self,
         other,
@@ -9421,6 +9459,7 @@ def _append(
             result = result.reindex(combined_columns, axis=1)
         return result.__finalize__(self, method="append")
 
+    @validate_bool_kwargs_from_keywords('sort')
     def join(
         self,
         other: DataFrame | Series,
@@ -9594,6 +9633,7 @@ def join(
             validate=validate,
         )
 
+    @validate_bool_kwargs_from_keywords('sort')
     def _join_compat(
         self,
         other: DataFrame | Series,
@@ -9677,6 +9717,7 @@ def _join_compat(
 
     @Substitution("")
     @Appender(_merge_doc, indents=2)
+    @validate_bool_kwargs_from_keywords('left_index', 'right_index', 'copy', 'indicator', 'sort')
     def merge(
         self,
         right: DataFrame | Series,
@@ -9829,6 +9870,7 @@ def _series_round(ser: Series, decimals: int):
     # ----------------------------------------------------------------------
     # Statistical methods, etc.
 
+    @validate_bool_kwargs_from_keywords('numeric_only')
     def corr(
         self,
         method: str | Callable[[np.ndarray, np.ndarray], float] = "pearson",
@@ -9942,6 +9984,7 @@ def corr(
 
         return self._constructor(correl, index=idx, columns=cols)
 
+    @validate_bool_kwargs_from_keywords('numeric_only')
     def cov(
         self,
         min_periods: int | None = None,
@@ -10071,6 +10114,7 @@ def cov(
 
         return self._constructor(base_cov, index=idx, columns=cols)
 
+    @validate_bool_kwargs_from_keywords('numeric_only')
     def corrwith(
         self,
         other,
@@ -10235,6 +10279,7 @@ def c(x):
     # ----------------------------------------------------------------------
     # ndarray-like stats methods
 
+    @validate_bool_kwargs_from_keywords('numeric_only')
     def count(
         self, axis: Axis = 0, level: Level | None = None, numeric_only: bool = False
     ):
@@ -10340,6 +10385,7 @@ def count(
 
         return result.astype("int64").__finalize__(self, method="count")
 
+    @validate_bool_kwargs_from_keywords('numeric_only')
     def _count_level(self, level: Level, axis: int = 0, numeric_only: bool = False):
         if numeric_only:
             frame = self._get_numeric_data()
@@ -10385,6 +10431,7 @@ def _count_level(self, level: Level, axis: int = 0, numeric_only: bool = False):
 
         return result
 
+    @validate_bool_kwargs_from_keywords('numeric_only')
     def _reduce(
         self,
         op,
@@ -10537,6 +10584,7 @@ def _get_data() -> DataFrame:
         result = self._constructor_sliced(result, index=labels)
         return result
 
+    @validate_bool_kwargs_from_keywords('skipna')
     def _reduce_axis1(self, name: str, func, skipna: bool) -> Series:
         """
         Special case for _reduce to try to avoid a potentially-expensive transpose.
@@ -10565,6 +10613,7 @@ def _reduce_axis1(self, name: str, func, skipna: bool) -> Series:
         res_ser = self._constructor_sliced(result, index=self.index)
         return res_ser
 
+    @validate_bool_kwargs_from_keywords('dropna')
     def nunique(self, axis: Axis = 0, dropna: bool = True) -> Series:
         """
         Count number of distinct elements in specified axis.
@@ -10606,6 +10655,7 @@ def nunique(self, axis: Axis = 0, dropna: bool = True) -> Series:
         return self.apply(Series.nunique, axis=axis, dropna=dropna)
 
     @doc(_shared_docs["idxmin"], numeric_only_default="False")
+    @validate_bool_kwargs_from_keywords('skipna', 'numeric_only')
     def idxmin(
         self, axis: Axis = 0, skipna: bool = True, numeric_only: bool = False
     ) -> Series:
@@ -10630,6 +10680,7 @@ def idxmin(
         return data._constructor_sliced(result, index=data._get_agg_axis(axis))
 
     @doc(_shared_docs["idxmax"], numeric_only_default="False")
+    @validate_bool_kwargs_from_keywords('skipna', 'numeric_only')
     def idxmax(
         self, axis: Axis = 0, skipna: bool = True, numeric_only: bool = False
     ) -> Series:
@@ -10665,6 +10716,7 @@ def _get_agg_axis(self, axis_num: int) -> Index:
         else:
             raise ValueError(f"Axis must be 0 or 1 (got {repr(axis_num)})")
 
+    @validate_bool_kwargs_from_keywords('skipna', 'dropna')
     def mode(
         self, axis: Axis = 0, numeric_only: bool = False, dropna: bool = True
     ) -> DataFrame:
@@ -10884,6 +10936,7 @@ def quantile(
         return result.__finalize__(self, method="quantile")
 
     @doc(NDFrame.asfreq, **_shared_doc_kwargs)
+    @validate_bool_kwargs_from_keywords('normalize')
     def asfreq(
         self,
         freq: Frequency,
@@ -10933,6 +10986,7 @@ def resample(
             group_keys=group_keys,
         )
 
+    @validate_bool_kwargs_from_keywords('copy')
     def to_timestamp(
         self,
         freq: Frequency | None = None,
@@ -10971,6 +11025,7 @@ def to_timestamp(
         setattr(new_obj, axis_name, new_ax)
         return new_obj
 
+    @validate_bool_kwargs_from_keywords('copy')
     def to_period(
         self, freq: Frequency | None = None, axis: Axis = 0, copy: bool = True
     ) -> DataFrame:
@@ -11170,6 +11225,7 @@ def _AXIS_NAMES(self) -> dict[int, str]:
     # ----------------------------------------------------------------------
     # Internal Interface Methods
 
+    @validate_bool_kwargs_from_keywords('copy')
     def _to_dict_of_blocks(self, copy: bool = True):
         """
         Return a dict of dtype -> Constructor Types that
@@ -11264,6 +11320,7 @@ def values(self) -> np.ndarray:
         return self._mgr.as_array()
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self"])
+    @validate_bool_kwargs_from_keywords('inplace')
     def ffill(
         self: DataFrame,
         axis: None | Axis = None,
@@ -11274,6 +11331,7 @@ def ffill(
         return super().ffill(axis, inplace, limit, downcast)
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self"])
+    @validate_bool_kwargs_from_keywords('inplace')
     def bfill(
         self: DataFrame,
         axis: None | Axis = None,
@@ -11286,6 +11344,7 @@ def bfill(
     @deprecate_nonkeyword_arguments(
         version=None, allowed_args=["self", "lower", "upper"]
     )
+    @validate_bool_kwargs_from_keywords('inplace')
     def clip(
         self: DataFrame,
         lower=None,
@@ -11298,6 +11357,7 @@ def clip(
         return super().clip(lower, upper, axis, inplace, *args, **kwargs)
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "method"])
+    @validate_bool_kwargs_from_keywords('inplace')
     def interpolate(
         self: DataFrame,
         method: str = "linear",
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 1d3509cac0edd..b84b195ddb2b1 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -64,6 +64,7 @@
     validate_ascending,
     validate_bool_kwarg,
     validate_percentile,
+    validate_bool_kwargs_from_keywords,
 )
 
 from pandas.core.dtypes.cast import (
@@ -330,6 +331,7 @@ class Series(base.IndexOpsMixin, NDFrame):
     # ----------------------------------------------------------------------
     # Constructors
 
+    @validate_bool_kwargs_from_keywords('copy', 'fastpath')
     def __init__(
         self,
         data=None,
@@ -1055,6 +1057,7 @@ def _get_values(self, indexer: slice | npt.NDArray[np.bool_]) -> Series:
         new_mgr = self._mgr.getitem_mgr(indexer)
         return self._constructor(new_mgr).__finalize__(self)
 
+    @validate_bool_kwargs_from_keywords('takeable')
     def _get_value(self, label, takeable: bool = False):
         """
         Quickly retrieve single value at passed index label.
@@ -1201,6 +1204,7 @@ def _set_values(self, key, value) -> None:
         self._mgr = self._mgr.setitem(indexer=key, value=value)
         self._maybe_update_cacher()
 
+    @validate_bool_kwargs_from_keywords('takeable')
     def _set_value(self, label, value, takeable: bool = False):
         """
         Quickly set single value at passed label.
@@ -1272,6 +1276,7 @@ def _check_is_chained_assignment_possible(self) -> bool:
             return True
         return super()._check_is_chained_assignment_possible()
 
+    @validate_bool_kwargs_from_keywords('clear', 'verify_is_copy', 'inplace')
     def _maybe_update_cacher(
         self, clear: bool = False, verify_is_copy: bool = True, inplace: bool = False
     ) -> None:
@@ -1368,6 +1373,7 @@ def repeat(self, repeats, axis=None) -> Series:
         )
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "level"])
+    @validate_bool_kwargs_from_keywords('allow_duplicates')
     def reset_index(
         self,
         level=None,
@@ -1639,6 +1645,7 @@ def to_string(
             +----+----------+"""
         ),
     )
+    @validate_bool_kwargs_from_keywords('index')
     def to_markdown(
         self,
         buf: IO[str] | None = None,
@@ -1824,6 +1831,7 @@ def to_frame(self, name: Hashable = lib.no_default) -> DataFrame:
         df = self._constructor_expanddim(mgr)
         return df.__finalize__(self, method="to_frame")
 
+    @validate_bool_kwargs_from_keywords('inplace')
     def _set_name(self, name, inplace=False) -> Series:
         """
         Set the Series name.
@@ -1921,6 +1929,7 @@ def _set_name(self, name, inplace=False) -> Series:
 Name: Max Speed, dtype: float64
 """
     )
+    @validate_bool_kwargs_from_keywords('as_index', 'sort', 'observed', 'dropna')
     @Appender(_shared_docs["groupby"] % _shared_doc_kwargs)
     def groupby(
         self,
@@ -2032,6 +2041,7 @@ def count(self, level=None):
             self, method="count"
         )
 
+    @validate_bool_kwargs_from_keywords('dropna')
     def mode(self, dropna: bool = True) -> Series:
         """
         Return the mode(s) of the Series.
@@ -2890,6 +2900,7 @@ def searchsorted(  # type: ignore[override]
     # -------------------------------------------------------------------
     # Combination
 
+    @validate_bool_kwargs_from_keywords('ignore_index', 'verify_integrity')
     def append(
         self, to_append, ignore_index: bool = False, verify_integrity: bool = False
     ):
@@ -2976,6 +2987,7 @@ def append(
 
         return self._append(to_append, ignore_index, verify_integrity)
 
+    @validate_bool_kwargs_from_keywords('ignore_index', 'verify_integrity')
     def _append(
         self, to_append, ignore_index: bool = False, verify_integrity: bool = False
     ):
@@ -3129,6 +3141,7 @@ def _construct_result(
 """,
         klass=_shared_doc_kwargs["klass"],
     )
+    @validate_bool_kwargs_from_keywords('keep_shape', 'keep_equal')
     def compare(
         self,
         other: Series,
@@ -3371,6 +3384,7 @@ def update(self, other) -> None:
     # Reindexing, sorting
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self"])
+    @validate_bool_kwargs_from_keywords('inplace', 'ignore_index')
     def sort_values(
         self,
         axis=0,
@@ -3630,6 +3644,7 @@ def sort_index(
 
     # error: Signature of "sort_index" incompatible with supertype "NDFrame"
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self"])
+    @validate_bool_kwargs_from_keywords('inplace', 'sort_remaining', 'ignore_index')
     def sort_index(  # type: ignore[override]
         self,
         axis: Axis = 0,
@@ -4132,6 +4147,7 @@ def reorder_levels(self, order) -> Series:
         result.index = result.index.reorder_levels(order)
         return result
 
+    @validate_bool_kwargs_from_keywords('ignore_index')
     def explode(self, ignore_index: bool = False) -> Series:
         """
         Transform each element of a list-like to a row.
@@ -4412,6 +4428,7 @@ def transform(
         ).transform()
         return result
 
+    @validate_bool_kwargs_from_keywords('convert_dtype')
     def apply(
         self,
         func: AggFuncType,
@@ -4657,6 +4674,7 @@ def rename(
     ) -> Series | None:
         ...
 
+    @validate_bool_kwargs_from_keywords('copy', 'inplace')
     def rename(
         self,
         index: Renamer | Hashable | None = None,
@@ -4789,6 +4807,7 @@ def set_axis(self, labels, axis: Axis = ..., inplace: bool = ...) -> Series | No
         see_also_sub="",
     )
     @Appender(NDFrame.set_axis.__doc__)
+    @validate_bool_kwargs_from_keywords('inplace')
     def set_axis(self, labels, axis: Axis = 0, inplace: bool = False):
         return super().set_axis(labels, axis=axis, inplace=inplace)
 
@@ -4857,6 +4876,7 @@ def drop(
     # error: Signature of "drop" incompatible with supertype "NDFrame"
     # github.com/python/mypy/issues/12387
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "labels"])
+    @validate_bool_kwargs_from_keywords('inplace')
     def drop(  # type: ignore[override]
         self,
         labels: Hashable | list[Hashable] = None,
@@ -5152,6 +5172,7 @@ def replace(
         )
 
     @doc(INFO_DOCSTRING, **series_sub_kwargs)
+    @validate_bool_kwargs_from_keywords('show_counts')
     def info(
         self,
         verbose: bool | None = None,
@@ -5167,6 +5188,7 @@ def info(
             show_counts=show_counts,
         )
 
+    @validate_bool_kwargs_from_keywords('inplace')
     def _replace_single(self, to_replace, method: str, inplace: bool, limit):
         """
         Replaces values in a Series using the fill method specified when no
@@ -5196,6 +5218,7 @@ def shift(self, periods=1, freq=None, axis=0, fill_value=None) -> Series:
             periods=periods, freq=freq, axis=axis, fill_value=fill_value
         )
 
+    @validate_bool_kwargs_from_keywords('index', 'deep')
     def memory_usage(self, index: bool = True, deep: bool = False) -> int:
         """
         Return the memory usage of the Series.
@@ -5430,6 +5453,7 @@ def between(self, left, right, inclusive="both") -> Series:
     # ----------------------------------------------------------------------
     # Convert to types that support pd.NA
 
+    @validate_bool_kwargs_from_keywords('infer_objects', 'convert_string', 'convert_integer', 'convert_boolean', 'convert_floating')
     def _convert_dtypes(
         self,
         infer_objects: bool = True,
@@ -5577,6 +5601,7 @@ def dropna(self, axis=0, inplace=False, how=None):
 
     # error: Cannot determine type of 'asfreq'
     @doc(NDFrame.asfreq, **_shared_doc_kwargs)  # type: ignore[has-type]
+    @validate_bool_kwargs_from_keywords('normalize')
     def asfreq(
         self,
         freq,
@@ -5684,6 +5709,7 @@ def to_period(self, freq=None, copy=True) -> Series:
         )
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self"])
+    @validate_bool_kwargs_from_keywords('inplace')
     def ffill(
         self: Series,
         axis: None | Axis = None,
@@ -5694,6 +5720,7 @@ def ffill(
         return super().ffill(axis, inplace, limit, downcast)
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self"])
+    @validate_bool_kwargs_from_keywords('inplace')
     def bfill(
         self: Series,
         axis: None | Axis = None,
@@ -5706,6 +5733,7 @@ def bfill(
     @deprecate_nonkeyword_arguments(
         version=None, allowed_args=["self", "lower", "upper"]
     )
+    @validate_bool_kwargs_from_keywords('inplace')
     def clip(
         self: Series,
         lower=None,
@@ -5718,6 +5746,7 @@ def clip(
         return super().clip(lower, upper, axis, inplace, *args, **kwargs)
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "method"])
+    @validate_bool_kwargs_from_keywords('inplace')
     def interpolate(
         self: Series,
         method: str = "linear",
diff --git a/pandas/tests/frame/test_validate.py b/pandas/tests/frame/test_validate.py
index e99e0a6863848..02dc0cf8e2605 100644
--- a/pandas/tests/frame/test_validate.py
+++ b/pandas/tests/frame/test_validate.py
@@ -39,3 +39,10 @@ def test_validate_bool_args(self, dataframe, func, inplace):
 
         with pytest.raises(ValueError, match=msg):
             getattr(dataframe, func)(**kwargs)
+
+@pytest.mark.parametrize('keyword', ('nan_as_null', 'allow_copy', 'ignore_width', 'index', 'index_names', 'show_dimensions', 'copy', 'inplace', 'reauth', 'auth_local_webserver', 'progress_bar', 'verify_integrity', 'write_index', 'bold_rows', 'escape', 'notebook', 'render_links', 'deep', 'takeable', 'drop', 'append', 'ignore_index', 'sort_remaining', 'normalize', 'ascending', 'dropna', 'keep_shape', 'keep_equal', 'overwrite', 'as_index', 'observed', 'sort', 'raw', 'left_index', 'right_index', 'numeric_only', 'skipna'))
+def test_set_index_validation(dataframe, func, keyword):
+    msg = 'For argument "{}" expected type bool'.format(keyword)
+    kwargs = {keyword: 'hello'}
+    with pytest.raises(ValueError, match=msg):
+        getattr(dataframe, func)(**kwargs)
\ No newline at end of file
diff --git a/pandas/tests/series/test_validate.py b/pandas/tests/series/test_validate.py
index 3c867f7582b7d..843f460649fb0 100644
--- a/pandas/tests/series/test_validate.py
+++ b/pandas/tests/series/test_validate.py
@@ -24,3 +24,10 @@ def test_validate_bool_args(string_series, func, inplace):
 
     with pytest.raises(ValueError, match=msg):
         getattr(string_series, func)(**kwargs)
+
+@pytest.mark.parametrize('keyword', ('copy', 'fastpath', 'takeable', 'clear', 'verify_is_copy', 'inplace', 'allow_duplicates', 'index', 'as_index', 'sort', 'observed', 'dropna', 'ignore_index', 'verify_integrity', 'keep_shape', 'keep_equal', 'inplace', 'sort_remaining' , 'convert_dtype', 'show_counts', 'deep', 'infer_objects', 'convert_string', 'convert_integer', 'convert_boolean', 'convert_floating', 'normalize'))
+def test_set_index_validation(string_series, func, keyword):
+    msg = 'For argument "{}" expected type bool'.format(keyword)
+    kwargs = {keyword: 'hello'}
+    with pytest.raises(ValueError, match=msg):
+        getattr(string_series, func)(**kwargs)
\ No newline at end of file
diff --git a/pandas/util/_validators.py b/pandas/util/_validators.py
index 8e3de9404fbee..757c84feedb3f 100644
--- a/pandas/util/_validators.py
+++ b/pandas/util/_validators.py
@@ -12,6 +12,8 @@
 
 import numpy as np
 
+import functools
+
 from pandas.util._exceptions import find_stack_level
 
 from pandas.core.dtypes.common import (
@@ -518,3 +520,39 @@ def validate_insert_loc(loc: int, length: int) -> int:
     if not 0 <= loc <= length:
         raise IndexError(f"loc must be an integer between -{length} and {length}")
     return loc
+
+def validate_bool_kwargs_from_keywords(*keywords):
+    """
+    Takes keywords and ensures all are type bool, using validate_bool_kwarg
+
+    Example Usage:
+    @validate_bool_kwargs_from_keywords('copy', 'inplace')
+    def method(##that takes bool kwargs## copy: bool = False, inplace: bool = False):
+
+    Used as a decorator above methods.  Uses functools.
+
+    validate_bool_kwarg:
+    def validate_bool_kwarg(value, arg_name, none_allowed=True, int_allowed=False):
+    good_value = is_bool(value)
+    if none_allowed:
+        good_value = good_value or value is None
+
+    if int_allowed:
+        good_value = good_value or isinstance(value, int)
+
+    if not good_value:
+        raise ValueError(
+            f'For argument "{arg_name}" expected type bool, received '
+            f"type {type(value).__name__}."
+        )
+    return value
+    """
+    words = set(keywords)
+    def validate_bool_kwargs_from_keywords_inner(func):
+        @functools.wraps(func)
+        def validator(*args, **kwargs):
+            for word in words.intersection(kwargs.keys()):
+                validate_bool_kwarg(kwargs[word], word)
+            return func(*args, **kwargs)
+        return validator
+    return validate_bool_kwargs_from_keywords_inner
\ No newline at end of file