feat(code): Add validity calculation

This commit is contained in:
Marty Oehme 2024-02-14 15:48:47 +01:00
parent 0c596e2f43
commit a0794c6d09
Signed by: Marty
GPG key ID: EDBF2ED917B2EF6A

View file

@ -0,0 +1,71 @@
from typing import cast
from pandas import DataFrame
def calculate_validities(
df: DataFrame, repr_col: str = "representativeness", method_col: str = "method"
) -> DataFrame:
EXT_COL_NAME: str = "external_validity"
INT_COL_NAME: str = "internal_validity"
vd = df[(df["design"] == "quasi-experimental") | (df["design"] == "experimental")]
vd[EXT_COL_NAME] = 0
vd[INT_COL_NAME] = 0
vd = cast(DataFrame, vd)
vd[repr_col] = vd[repr_col].fillna("")
# needs to check national before subnational, subnational before local
vd.loc[vd[repr_col].str.contains("national"), EXT_COL_NAME] = 5.0
vd.loc[vd[repr_col].str.contains("regional"), EXT_COL_NAME] = 4.0
vd.loc[vd[repr_col].str.contains("subnational"), EXT_COL_NAME] = 3.0
vd.loc[vd[repr_col].str.contains("local"), EXT_COL_NAME] = 2.0
vd[method_col] = vd[method_col].fillna("")
# needs to go lowest to highest in case of multiple mentioned approaches
vd.loc[
vd[method_col].str.contains("|".join(["OLS", "ordinary.least.square"])),
INT_COL_NAME,
] = 2.0
vd.loc[
vd[method_col].str.contains("|".join(["DM", "discontinuity.matching"])),
INT_COL_NAME,
] = 3.0
vd.loc[
vd[method_col].str.contains(
"|".join(["DID", "difference.in.diff", "diff.in.diff", "triple.diff"])
),
INT_COL_NAME,
] = 3.0
vd.loc[
vd[method_col].str.contains(
"|".join(["PSM", "propensity.score.matching", "score.matching"])
),
INT_COL_NAME,
] = 3.5
vd.loc[
vd[method_col].str.contains("|".join(["IV", "instrumental.variable"])),
INT_COL_NAME,
] = 4.0
vd.loc[
vd[method_col].str.contains("|".join(["RD", "regression.discontinuity"])),
INT_COL_NAME,
] = 4.5
vd.loc[vd[method_col].str.contains("RCT"), INT_COL_NAME] = 5.0
return vd
if __name__ == "__main__":
import sys
import load_data
from pathlib import Path
from io import StringIO
if len(sys.argv) == 2:
df = load_data.from_yml(Path(sys.argv[1]))
else:
df = load_data.from_yml()
df = calculate_validities(df)
output = StringIO()
df.to_csv(output)
output.seek(0)
print(output.read())