Weitere Durchführung der Untersuchung
This commit is contained in:
428
Robustheitsprüfung.py
Normal file
428
Robustheitsprüfung.py
Normal file
@ -0,0 +1,428 @@
|
||||
# robustheit_visible_learning.py
|
||||
# Vollständige Robustheitsprüfung für Visible-Learning-Analyse
|
||||
# Liest generierte Exporte aus ./export, erzeugt neue CSV/JSON-Resultate für Bootstraps,
|
||||
# Permutationstests, Netzwerk-Nullmodelle und Sensitivitätstests.
|
||||
|
||||
from __future__ import annotations
|
||||
import os, json, math, random, itertools
|
||||
from pathlib import Path
|
||||
import numpy as np
|
||||
import pandas as pd
|
||||
import networkx as nx
|
||||
from networkx.algorithms import community as nx_comm
|
||||
|
||||
# ------------------------------------------------------------
|
||||
# Pfade & Konstanten
|
||||
# ------------------------------------------------------------
|
||||
HERE = Path(__file__).resolve().parent
|
||||
EXPORT = HERE / "export"
|
||||
EXPORT.mkdir(exist_ok=True)
|
||||
|
||||
THERMO_CSV = HERE / "Thermometer.csv" # deine Hauptquelle
|
||||
COUPLING_ITEM_CSV = EXPORT / "coupling_per_item.csv"
|
||||
COUPLING_NEED_CSV = EXPORT / "coupling_per_need.csv"
|
||||
COUPLING_POT_NEED_CSV = EXPORT / "coupling_potential_per_need.csv"
|
||||
TRIANG_NEEDS_CSV = EXPORT / "triangulation_needs_3d.csv"
|
||||
NEEDS_MAPPING_CSV = EXPORT / "needs_mapping_codes.csv"
|
||||
WERTE_MAPPING_CSV = HERE / "werte_mapping.csv" # optional (falls vorhanden)
|
||||
|
||||
# Ergebnis-Dateien
|
||||
OUT_BOOTSTRAP_Q = EXPORT / "robust_bootstrap_Q.csv"
|
||||
OUT_PERM_NEEDS = EXPORT / "robust_permutation_needs.csv"
|
||||
OUT_NULLMODEL_Q = EXPORT / "robust_nullmodel_Q.csv"
|
||||
OUT_SENS_ITEM = EXPORT / "robust_sensitivity_items.csv"
|
||||
OUT_SENS_TOPK = EXPORT / "robust_sensitivity_topk.csv"
|
||||
OUT_SENS_NEEDSWAP = EXPORT / "robust_sensitivity_needswap.csv"
|
||||
OUT_SUMMARY_JSON = EXPORT / "robust_summary.json"
|
||||
|
||||
# Standard-Parameter
|
||||
SEED = 42
|
||||
B_BOOT = 1000 # Anzahl Bootstrap-Replikate
|
||||
P_PERM = 2000 # Anzahl Permutationstests
|
||||
M_NULL = 500 # Anzahl Nullmodell-Rewirings
|
||||
K_TOP = 10 # Top-k Items für Entfernung im Sensitivitätstest
|
||||
ALT_NEED_SWAP_FRAC = 0.1 # ~10% Items zufällig auf anderes Bedürfnis mappen
|
||||
|
||||
rng = np.random.default_rng(SEED)
|
||||
random.seed(SEED)
|
||||
|
||||
# ------------------------------------------------------------
|
||||
# Utilities
|
||||
# ------------------------------------------------------------
|
||||
def _ensure_float(s: pd.Series) -> pd.Series:
|
||||
x = s.astype(str).str.replace(",", ".", regex=False).str.strip()
|
||||
return pd.to_numeric(x, errors="coerce")
|
||||
|
||||
def load_base() -> pd.DataFrame:
|
||||
if not THERMO_CSV.exists():
|
||||
raise FileNotFoundError(f"Thermometer.csv nicht gefunden: {THERMO_CSV}")
|
||||
df = pd.read_csv(THERMO_CSV)
|
||||
req = ["Thermometer_ID","Stichwort","Effektstärke","Subkapitel","Kapitelname","Systemebene"]
|
||||
missing = [c for c in req if c not in df.columns]
|
||||
if missing:
|
||||
raise ValueError(f"Fehlende Spalten in Thermometer.csv: {missing}")
|
||||
df["Effektstärke"] = _ensure_float(df["Effektstärke"])
|
||||
# ggf. Bedürfnis-Spalte aus Mapping mergen
|
||||
if "Young_Beduerfnis" not in df.columns and WERTE_MAPPING_CSV.exists():
|
||||
try:
|
||||
m = pd.read_csv(WERTE_MAPPING_CSV)
|
||||
if {"Thermometer_ID","Young_Beduerfnis"}.issubset(m.columns):
|
||||
df = df.merge(m[["Thermometer_ID","Young_Beduerfnis"]], on="Thermometer_ID", how="left")
|
||||
except Exception:
|
||||
df["Young_Beduerfnis"] = np.nan
|
||||
else:
|
||||
df["Young_Beduerfnis"] = df.get("Young_Beduerfnis", np.nan)
|
||||
# nur gültige Systemebenen
|
||||
mask = df["Systemebene"].astype(str).str.lower().isin(["psychisch","sozial"])
|
||||
df = df[mask].dropna(subset=["Effektstärke"]).copy()
|
||||
# Kapitel numerisch (optional)
|
||||
try:
|
||||
df["Kapitel"] = df["Thermometer_ID"].astype(str).str.split(".").str[0].astype(int)
|
||||
except Exception:
|
||||
df["Kapitel"] = np.nan
|
||||
return df
|
||||
|
||||
def build_bipartite(df: pd.DataFrame) -> nx.Graph:
|
||||
G = nx.Graph()
|
||||
for s in ["psychisch","sozial"]:
|
||||
G.add_node(f"system::{s}", bipartite="system", label=s.capitalize())
|
||||
for _, r in df.iterrows():
|
||||
sys = str(r["Systemebene"]).lower()
|
||||
u = f"system::{sys}"
|
||||
v = f"item::{r['Thermometer_ID']}"
|
||||
G.add_node(v, bipartite="item",
|
||||
id=str(r["Thermometer_ID"]),
|
||||
label=str(r["Stichwort"]),
|
||||
kapitelname=str(r["Kapitelname"]),
|
||||
subkapitel=str(r["Subkapitel"]),
|
||||
d=float(r["Effektstärke"]))
|
||||
G.add_edge(u, v, weight=float(r["Effektstärke"]))
|
||||
return G
|
||||
|
||||
def item_projection(G: nx.Graph) -> nx.Graph:
|
||||
items = [n for n,d in G.nodes(data=True) if d.get("bipartite")=="item"]
|
||||
systems = [n for n,d in G.nodes(data=True) if d.get("bipartite")=="system"]
|
||||
Gi = nx.Graph()
|
||||
for it in items:
|
||||
Gi.add_node(it, **G.nodes[it])
|
||||
sys_to_items = {s:[] for s in systems}
|
||||
for u,v,d in G.edges(data=True):
|
||||
if u in systems and v in items:
|
||||
sys_to_items[u].append((v, abs(float(d.get("weight",0.0)))))
|
||||
elif v in systems and u in items:
|
||||
sys_to_items[v].append((u, abs(float(d.get("weight",0.0)))))
|
||||
for s, lst in sys_to_items.items():
|
||||
for i in range(len(lst)):
|
||||
for j in range(i+1, len(lst)):
|
||||
a, wa = lst[i]; b, wb = lst[j]
|
||||
w = min(wa, wb)
|
||||
if Gi.has_edge(a,b):
|
||||
Gi[a][b]["weight"] += w
|
||||
else:
|
||||
Gi.add_edge(a,b,weight=w)
|
||||
return Gi
|
||||
|
||||
def modularity_Q_psych_sozial(G: nx.Graph) -> float:
|
||||
# Partition: Systemknoten + ihre Items
|
||||
parts = {0:set(), 1:set()}
|
||||
for n,d in G.nodes(data=True):
|
||||
if d.get("bipartite")=="system":
|
||||
lbl = str(d.get("label","")).lower()
|
||||
parts[0 if "psych" in lbl else 1].add(n)
|
||||
for n,d in G.nodes(data=True):
|
||||
if d.get("bipartite")=="item":
|
||||
sys_lbls = [G.nodes[nbr].get("label","").lower() for nbr in G[n]]
|
||||
parts[0 if any("psych" in s for s in sys_lbls) else 1].add(n)
|
||||
H = G.copy()
|
||||
for u,v,d in H.edges(data=True):
|
||||
d["weight"] = abs(float(d.get("weight",0.0)))
|
||||
try:
|
||||
return float(nx_comm.modularity(H, [parts[0],parts[1]], weight="weight"))
|
||||
except Exception:
|
||||
return float("nan")
|
||||
|
||||
def betweenness_on_projection(Gi: nx.Graph) -> dict[str,float]:
|
||||
if Gi.number_of_edges()==0:
|
||||
return {}
|
||||
H = Gi.copy()
|
||||
eps = 1e-9
|
||||
for u,v,d in H.edges(data=True):
|
||||
w = float(d.get("weight",0.0))
|
||||
d["length"] = 1.0/max(eps, w)
|
||||
return nx.betweenness_centrality(H, weight="length", normalized=True)
|
||||
|
||||
def abs_d_norm(series: pd.Series) -> pd.Series:
|
||||
x = series.to_numpy(dtype=float)
|
||||
mn, mx = np.nanmin(x), np.nanmax(x)
|
||||
return pd.Series(np.zeros_like(x)) if (not np.isfinite(mn) or not np.isfinite(mx) or mx<=mn) \
|
||||
else pd.Series((x-mn)/(mx-mn))
|
||||
|
||||
def observed_coupling_index(df: pd.DataFrame) -> tuple[pd.DataFrame, float]:
|
||||
G = build_bipartite(df)
|
||||
Gi = item_projection(G)
|
||||
bc = betweenness_on_projection(Gi)
|
||||
data = df.copy()
|
||||
data["abs_d"] = data["Effektstärke"].abs()
|
||||
data["abs_d_norm"] = abs_d_norm(data["abs_d"])
|
||||
data["bc_norm"] = [bc.get(f"item::{tid}", 0.0) for tid in data["Thermometer_ID"].astype(str)]
|
||||
data["coupling_index"] = data["abs_d_norm"] * data["bc_norm"]
|
||||
# Summierter CI über alle Items
|
||||
ci_sum = float(data["coupling_index"].sum())
|
||||
return data, ci_sum
|
||||
|
||||
# ------------------------------------------------------------
|
||||
# 1) BOOTSTRAP (Items resamplen) – Kennzahlen: Q, CI_sum
|
||||
# ------------------------------------------------------------
|
||||
def run_bootstrap(df: pd.DataFrame, B: int = B_BOOT) -> pd.DataFrame:
|
||||
rows = []
|
||||
n = len(df)
|
||||
for b in range(B):
|
||||
idx = rng.integers(0, n, size=n) # mit Zurücklegen
|
||||
samp = df.iloc[idx].copy()
|
||||
G = build_bipartite(samp)
|
||||
Q = modularity_Q_psych_sozial(G)
|
||||
per_item, ci_sum = observed_coupling_index(samp)
|
||||
rows.append({"b": b+1, "Q": Q, "CI_sum": ci_sum})
|
||||
out = pd.DataFrame(rows)
|
||||
out.to_csv(OUT_BOOTSTRAP_Q, index=False, encoding="utf-8")
|
||||
return out
|
||||
|
||||
# ------------------------------------------------------------
|
||||
# 2) PERMUTATION der Bedürfnis-Labels – Benchmark ggü. beobachtet
|
||||
# Kennzahl: coupling_potential (oder CI_sum nach Need)
|
||||
# ------------------------------------------------------------
|
||||
def coupling_potential_by_need(df: pd.DataFrame) -> pd.DataFrame:
|
||||
d = df.copy()
|
||||
d["abs_d"] = d["Effektstärke"].abs()
|
||||
d_ps = d.groupby(["Young_Beduerfnis","Systemebene"])["abs_d"].sum().unstack(fill_value=0.0)
|
||||
d_ps.columns = [c.lower() for c in d_ps.columns]
|
||||
d_ps["E_sum"] = d_ps.sum(axis=1)
|
||||
d_ps["balance"] = 1.0 - (d_ps.apply(lambda r: abs((r.get("psychisch",0.0)/r["E_sum"]) - (r.get("sozial",0.0)/r["E_sum"])) if r["E_sum"]>0 else 1.0, axis=1))
|
||||
d_ps["coupling_potential"] = d_ps["E_sum"] * d_ps["balance"]
|
||||
d_ps["bridge_energy"] = np.minimum(d_ps.get("psychisch",0.0), d_ps.get("sozial",0.0))
|
||||
d_ps = d_ps.reset_index().rename(columns={"Young_Beduerfnis":"Beduerfnis"})
|
||||
return d_ps[["Beduerfnis","E_sum","psychisch","sozial","balance","coupling_potential","bridge_energy"]]
|
||||
|
||||
def run_permutation_needs(df: pd.DataFrame, P: int = P_PERM) -> pd.DataFrame:
|
||||
# beobachtet
|
||||
obs = coupling_potential_by_need(df)
|
||||
obs_total = float(obs["coupling_potential"].sum())
|
||||
rows = [{"perm": 0, "cp_total": obs_total, "is_observed": 1}]
|
||||
# Permutieren: Bedürfnisse zufällig permutieren
|
||||
needs = df["Young_Beduerfnis"].astype(str).fillna("").to_numpy()
|
||||
for p in range(1, P+1):
|
||||
perm = needs.copy()
|
||||
rng.shuffle(perm)
|
||||
dperm = df.copy()
|
||||
dperm["Young_Beduerfnis"] = perm
|
||||
cp = coupling_potential_by_need(dperm)
|
||||
rows.append({"perm": p, "cp_total": float(cp["coupling_potential"].sum()), "is_observed": 0})
|
||||
out = pd.DataFrame(rows)
|
||||
out.to_csv(OUT_PERM_NEEDS, index=False, encoding="utf-8")
|
||||
return out
|
||||
|
||||
def export_observed_need_coupling(df: pd.DataFrame) -> None:
|
||||
obs = coupling_potential_by_need(df)
|
||||
(EXPORT / "observed_coupling_per_need.csv").write_text(
|
||||
obs.to_csv(index=False, encoding="utf-8"), encoding="utf-8"
|
||||
)
|
||||
|
||||
# ------------------------------------------------------------
|
||||
# 3) NETZWERK-NULLMODELLE – bipartites Rewiring (Erhalte Knotengrade)
|
||||
# Kennzahl: Q (psych/sozial)
|
||||
# ------------------------------------------------------------
|
||||
def rewire_bipartite_preserve_degrees(G: nx.Graph, iters: int = 10_000) -> nx.Graph:
|
||||
"""Bipartites, grad-erhaltendes Rewiring.
|
||||
(systemA–item1, systemB–item2) -> (systemA–item2, systemB–item1),
|
||||
ohne Duplikate/Loops. Bis zu `iters` erfolgreiche Swaps.
|
||||
"""
|
||||
H = G.copy()
|
||||
edges = [(u, v) if str(u).startswith("system::") else (v, u)
|
||||
for u, v in H.edges()]
|
||||
systems = [n for n in H.nodes if str(n).startswith("system::")]
|
||||
items = [n for n in H.nodes if str(n).startswith("item::")]
|
||||
adj = {n: set(H.neighbors(n)) for n in H.nodes}
|
||||
tries = 0; swaps = 0; max_tries = iters * 20
|
||||
m = len(edges)
|
||||
if m < 2:
|
||||
return H
|
||||
rng_local = np.random.default_rng(SEED)
|
||||
while swaps < iters and tries < max_tries:
|
||||
i, j = rng_local.integers(0, m, size=2)
|
||||
if i == j: tries += 1; continue
|
||||
s1, it1 = edges[i]; s2, it2 = edges[j]
|
||||
if s1 == s2 or it1 == it2: tries += 1; continue
|
||||
a1, b1 = s1, it2
|
||||
a2, b2 = s2, it1
|
||||
if b1 in adj[a1] or b2 in adj[a2]:
|
||||
tries += 1; continue
|
||||
# Capture current edge weights from H before removing (edges may have been rewired already)
|
||||
w1 = float(H[s1][it1].get("weight", 1.0))
|
||||
w2 = float(H[s2][it2].get("weight", 1.0))
|
||||
|
||||
H.remove_edge(s1, it1)
|
||||
H.remove_edge(s2, it2)
|
||||
H.add_edge(a1, b1, weight=w1)
|
||||
H.add_edge(a2, b2, weight=w2)
|
||||
adj[a1].add(b1); adj[b1].add(a1)
|
||||
adj[a2].add(b2); adj[b2].add(a2)
|
||||
adj[s1].discard(it1); adj[it1].discard(s1)
|
||||
adj[s2].discard(it2); adj[it2].discard(s2)
|
||||
edges[i] = (a1, b1); edges[j] = (a2, b2)
|
||||
swaps += 1; tries += 1
|
||||
return H
|
||||
def run_nullmodels_Q(df: pd.DataFrame, M: int = M_NULL) -> pd.DataFrame:
|
||||
G = build_bipartite(df)
|
||||
Q_obs = modularity_Q_psych_sozial(G)
|
||||
rows = [{"trial": 0, "Q": Q_obs, "is_observed": 1}]
|
||||
for m in range(1, M + 1):
|
||||
H = rewire_bipartite_preserve_degrees(G, iters=2000)
|
||||
q = modularity_Q_psych_sozial(H)
|
||||
rows.append({"trial": m, "Q": q, "is_observed": 0})
|
||||
out = pd.DataFrame(rows)
|
||||
out_valid = out.dropna(subset=["Q"]).copy()
|
||||
out_valid.to_csv(OUT_NULLMODEL_Q, index=False, encoding="utf-8")
|
||||
return out_valid
|
||||
|
||||
# ------------------------------------------------------------
|
||||
# 4) SENSITIVITÄT – (a) Leave-One-Out, (b) Top-k entfernen,
|
||||
# (c) alternative Bedarfszuordnung (10%)
|
||||
# ------------------------------------------------------------
|
||||
def run_sensitivity_items(df: pd.DataFrame) -> pd.DataFrame:
|
||||
rows = []
|
||||
_, base_ci = observed_coupling_index(df)
|
||||
base_ci = float(base_ci)
|
||||
for _, r in df.iterrows():
|
||||
tid = str(r["Thermometer_ID"])
|
||||
d2 = df[df["Thermometer_ID"].astype(str) != tid]
|
||||
_, ci_sum = observed_coupling_index(d2)
|
||||
ci_sum = float(ci_sum)
|
||||
rows.append({
|
||||
"Thermometer_ID": tid,
|
||||
"CI_sum_after_drop": ci_sum,
|
||||
"CI_delta": ci_sum - base_ci # < 0 bedeutet: Item trägt stark zum CI bei
|
||||
})
|
||||
out = pd.DataFrame(rows).sort_values("CI_delta")
|
||||
out.to_csv(OUT_SENS_ITEM, index=False, encoding="utf-8")
|
||||
return out
|
||||
|
||||
def run_sensitivity_topk(df: pd.DataFrame, k: int = K_TOP) -> pd.DataFrame:
|
||||
# Top-k nach |d| entfernen und Kennzahlen neu
|
||||
d = df.copy()
|
||||
d["abs_d"] = d["Effektstärke"].abs()
|
||||
top = d.sort_values("abs_d", ascending=False).head(k)["Thermometer_ID"].astype(str).tolist()
|
||||
d2 = d[~d["Thermometer_ID"].astype(str).isin(top)].copy()
|
||||
G2 = build_bipartite(d2)
|
||||
Q2 = modularity_Q_psych_sozial(G2)
|
||||
_, CI2 = observed_coupling_index(d2)
|
||||
out = pd.DataFrame([{"k": k, "removed_ids": ";".join(top), "Q_after": Q2, "CI_sum_after": CI2}])
|
||||
out.to_csv(OUT_SENS_TOPK, index=False, encoding="utf-8")
|
||||
return out
|
||||
|
||||
def run_sensitivity_needswap(df: pd.DataFrame, frac: float = ALT_NEED_SWAP_FRAC, trials: int = 200) -> pd.DataFrame:
|
||||
needs = df["Young_Beduerfnis"].astype(str).fillna("").tolist()
|
||||
uniq = sorted(set([n for n in needs if n]))
|
||||
rows = []
|
||||
for t in range(1, trials+1):
|
||||
d2 = df.copy()
|
||||
idx = rng.choice(len(d2), size=max(1, int(frac*len(d2))), replace=False)
|
||||
# für die gewählten Items ein anderes (zufälliges) Bedürfnis zuweisen
|
||||
for i in idx:
|
||||
cur = str(d2.iloc[i]["Young_Beduerfnis"])
|
||||
choices = [u for u in uniq if u and u != cur] or [cur]
|
||||
d2.iloc[i, d2.columns.get_loc("Young_Beduerfnis")] = random.choice(choices)
|
||||
cp = coupling_potential_by_need(d2)
|
||||
rows.append({"trial": t, "cp_total": float(cp["coupling_potential"].sum())})
|
||||
out = pd.DataFrame(rows)
|
||||
out.to_csv(OUT_SENS_NEEDSWAP, index=False, encoding="utf-8")
|
||||
return out
|
||||
|
||||
# ------------------------------------------------------------
|
||||
# MAIN
|
||||
# ------------------------------------------------------------
|
||||
def main():
|
||||
print("Lade Daten …")
|
||||
df = load_base()
|
||||
|
||||
print("Berechne beobachtete Kennzahlen …")
|
||||
G = build_bipartite(df)
|
||||
Q_obs = modularity_Q_psych_sozial(G)
|
||||
per_item_obs, CI_obs = observed_coupling_index(df)
|
||||
export_observed_need_coupling(df)
|
||||
|
||||
# Sicher: beobachtete Zusammenfassung wegschreiben
|
||||
per_item_obs.to_csv(EXPORT / "observed_per_item_metrics.csv", index=False, encoding="utf-8")
|
||||
|
||||
print("Bootstrap …")
|
||||
boot = run_bootstrap(df, B_BOOT)
|
||||
|
||||
print("Permutation (Needs) …")
|
||||
perm = run_permutation_needs(df, P_PERM)
|
||||
|
||||
print("Nullmodelle (Rewiring) …")
|
||||
nullm = run_nullmodels_Q(df, M_NULL)
|
||||
|
||||
print("Sensitivität: Leave-One-Out …")
|
||||
sens_items = run_sensitivity_items(df)
|
||||
|
||||
print(f"Sensitivität: Top-{K_TOP} entfernen …")
|
||||
sens_topk = run_sensitivity_topk(df, K_TOP)
|
||||
|
||||
print("Sensitivität: Need-Swap (10%) …")
|
||||
sens_need = run_sensitivity_needswap(df, ALT_NEED_SWAP_FRAC, trials=200)
|
||||
|
||||
# Kurze Zusammenfassung
|
||||
summary = {
|
||||
"observed": {
|
||||
"Q_psych_sozial": Q_obs,
|
||||
"CI_sum": CI_obs,
|
||||
"n_items": int(len(df))
|
||||
},
|
||||
"bootstrap": {
|
||||
"B": int(len(boot)),
|
||||
"Q_mean": float(boot["Q"].mean()),
|
||||
"Q_ci95": [float(boot["Q"].quantile(0.025)), float(boot["Q"].quantile(0.975))],
|
||||
"CI_sum_mean": float(boot["CI_sum"].mean()),
|
||||
"CI_sum_ci95": [float(boot["CI_sum"].quantile(0.025)), float(boot["CI_sum"].quantile(0.975))]
|
||||
},
|
||||
"permutation_needs": {
|
||||
"P": int(len(perm) - 1),
|
||||
"observed_cp_total": float(perm.loc[perm["is_observed"] == 1, "cp_total"].iloc[0]),
|
||||
"p_value_right": float(((perm["cp_total"] >= perm.loc[0, "cp_total"]) & perm["cp_total"].notna()).sum() + 1) / float(len(perm.dropna(subset=["cp_total"])) + 1),
|
||||
"p_value_left": float(((perm["cp_total"] <= perm.loc[0, "cp_total"]) & perm["cp_total"].notna()).sum() + 1) / float(len(perm.dropna(subset=["cp_total"])) + 1),
|
||||
},
|
||||
"nullmodels": {
|
||||
"M": int(len(nullm) - 1),
|
||||
"Q_obs": float(nullm.loc[nullm["is_observed"] == 1, "Q"].iloc[0]),
|
||||
"Q_null_mean": float(nullm.loc[nullm["is_observed"] == 0, "Q"].dropna().mean()),
|
||||
"Q_null_ci95": [
|
||||
float(nullm.loc[nullm["is_observed"] == 0, "Q"].dropna().quantile(0.025)),
|
||||
float(nullm.loc[nullm["is_observed"] == 0, "Q"].dropna().quantile(0.975)),
|
||||
],
|
||||
},
|
||||
"sensitivity": {
|
||||
"leave_one_out_min_CI_sum": float(sens_items["CI_sum_after_drop"].min()) if len(sens_items) else None,
|
||||
"top_k_removed": K_TOP,
|
||||
"top_k_Q_after": float(sens_topk["Q_after"].iloc[0]),
|
||||
"top_k_CI_sum_after": float(sens_topk["CI_sum_after"].iloc[0]),
|
||||
"need_swap_trials": int(len(sens_need)),
|
||||
"need_swap_cp_mean": float(sens_need["cp_total"].mean()),
|
||||
"need_swap_cp_ci95": [float(sens_need["cp_total"].quantile(0.025)),
|
||||
float(sens_need["cp_total"].quantile(0.975))]
|
||||
}
|
||||
}
|
||||
with open(OUT_SUMMARY_JSON, "w", encoding="utf-8") as f:
|
||||
json.dump(summary, f, ensure_ascii=False, indent=2)
|
||||
|
||||
# Konsolenreport
|
||||
print("\n=== ROBUSTHEITS-ZUSAMMENFASSUNG ===")
|
||||
print(f"Q (beobachtet): {summary['observed']['Q_psych_sozial']:.3f}")
|
||||
print(f"CI_sum (beobachtet): {summary['observed']['CI_sum']:.3f}")
|
||||
print(f"Bootstrap Q 95%-CI: {summary['bootstrap']['Q_ci95']}")
|
||||
print(f"Permutation Needs p_right: {summary['permutation_needs']['p_value_right']:.4f} | p_left: {summary['permutation_needs']['p_value_left']:.4f}")
|
||||
print(f"Nullmodelle Q_null_mean: {summary['nullmodels']['Q_null_mean']:.3f} | 95%-CI: {summary['nullmodels']['Q_null_ci95']}")
|
||||
print(f"Top-{K_TOP} Entfernen -> Q={summary['sensitivity']['top_k_Q_after']:.3f}, CI_sum={summary['sensitivity']['top_k_CI_sum_after']:.3f}")
|
||||
print("Ergebnisse gespeichert in:", EXPORT)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
6
export/observed_coupling_per_need.csv
Normal file
6
export/observed_coupling_per_need.csv
Normal file
@ -0,0 +1,6 @@
|
||||
Beduerfnis,E_sum,psychisch,sozial,balance,coupling_potential,bridge_energy
|
||||
Bindung,8.26,5.77,2.49,0.602905569007264,4.98,2.49
|
||||
Emotion/SC,14.11,12.35,1.76,0.24946846208362872,3.520000000000001,1.76
|
||||
Orientierung,12.540000000000001,0.74,11.8,0.11802232854864436,1.4800000000000004,0.74
|
||||
Stabilität,14.11,2.5300000000000002,11.58,0.3586109142452161,5.059999999999999,2.5300000000000002
|
||||
Struktur/Kompetenz,42.03,9.26,32.77,0.4406376397811087,18.52,9.26
|
||||
|
227
export/observed_per_item_metrics.csv
Normal file
227
export/observed_per_item_metrics.csv
Normal file
@ -0,0 +1,227 @@
|
||||
Thermometer_ID,Stichwort,Effektstärke,Subkapitel,Kapitelname,Systemebene,Young_Beduerfnis,Kapitel,abs_d,abs_d_norm,bc_norm,coupling_index
|
||||
5.01,Vorausgehende Fähigkeiten & Intelligenz,0.96,Fähigkeiten,Lernende,psychisch,Struktur/Kompetenz,5,0.96,0.7164179104477612,0.0,0.0
|
||||
5.02,Vorausgehendes Leistungsniveau,0.73,Fähigkeiten,Lernende,psychisch,Struktur/Kompetenz,5,0.73,0.544776119402985,0.0,0.0
|
||||
5.03,Beziehung zwischen Schul- und Berufsleistungen,0.37,Fähigkeiten,Lernende,psychisch,Struktur/Kompetenz,5,0.37,0.2761194029850746,0.0,0.0
|
||||
5.04,Beziehung zwischen Schul- und Universitätsleistungen,0.55,Fähigkeiten,Lernende,psychisch,Struktur/Kompetenz,5,0.55,0.41044776119402987,0.0,0.0
|
||||
5.05,Erkenntnisstufen,1.28,Fähigkeiten,Lernende,psychisch,Struktur/Kompetenz,5,1.28,0.9552238805970149,0.0,0.0
|
||||
5.06,Exekutive Funktionen,0.62,Fähigkeiten,Lernende,psychisch,Struktur/Kompetenz,5,0.62,0.46268656716417905,0.0,0.0
|
||||
5.07,Stärke des Arbeitsgedächtnisses,0.63,Fähigkeiten,Lernende,psychisch,Struktur/Kompetenz,5,0.63,0.47014925373134325,0.0,0.0
|
||||
5.08,Vorschulische nicht-kognitive Fähigkeiten,0.2,Fähigkeiten,Lernende,psychisch,Struktur/Kompetenz,5,0.2,0.14925373134328357,0.0,0.0
|
||||
5.09,Gekreuzte Lateralität,-0.03,Fähigkeiten,Lernende,psychisch,Struktur/Kompetenz,5,0.03,0.022388059701492536,0.0,0.0
|
||||
5.1,Feldunabhängigkeit,0.94,Fähigkeiten,Lernende,psychisch,Struktur/Kompetenz,5,0.94,0.7014925373134328,0.0,0.0
|
||||
5.11,Beurteilung der eigenen Leistungsfähigkeit,0.96,Fähigkeiten,Lernende,psychisch,Struktur/Kompetenz,5,0.96,0.7164179104477612,0.0,0.0
|
||||
5.12,Kreativität und Lernleistung in Beziehung setzen,0.4,Fähigkeiten,Lernende,psychisch,Struktur/Kompetenz,5,0.4,0.29850746268656714,0.0,0.0
|
||||
5.13,Kritisches Denken,0.84,Fähigkeiten,Lernende,psychisch,Struktur/Kompetenz,5,0.84,0.626865671641791,0.0,0.0
|
||||
5.14,Beharrlichkeit und Zuversicht (Mindset),0.19,Wille,Lernende,psychisch,Emotion/SC,5,0.19,0.1417910447761194,0.0,0.0
|
||||
5.15,Beharrlichkeit und Zuversicht (Achtsamkeit),0.26,Wille,Lernende,psychisch,Emotion/SC,5,0.26,0.19402985074626866,0.0,0.0
|
||||
5.16,Beharrlichkeit und Zuversicht (Durchhaltevermögen),0.35,Wille,Lernende,psychisch,Emotion/SC,5,0.35,0.26119402985074625,0.0,0.0
|
||||
5.17,Beharrlichkeit und Zuversicht (Konzentration / Ausdauer und Engagement),0.41,Wille,Lernende,psychisch,Emotion/SC,5,0.41,0.3059701492537313,0.0,0.0
|
||||
5.18,Beharrlichkeit und Zuversicht (Selbstwirksamkeitserwartung),0.64,Wille,Lernende,psychisch,Emotion/SC,5,0.64,0.47761194029850745,0.0,0.0
|
||||
5.19,Beharrlichkeit und Zuversicht (Positives Selbstbild),0.51,Wille,Lernende,psychisch,Emotion/SC,5,0.51,0.3805970149253731,0.0,0.0
|
||||
5.2,Beharrlichkeit und Zuversicht (Selbstkontrolle),0.66,Wille,Lernende,psychisch,Emotion/SC,5,0.66,0.4925373134328358,0.0,0.0
|
||||
5.21,Schülerpersönlichkeit,0.18,Wille,Lernende,psychisch,Emotion/SC,5,0.18,0.13432835820895522,0.0,0.0
|
||||
5.22,Perfektionismus,-0.03,Wille,Lernende,psychisch,Emotion/SC,5,0.03,0.022388059701492536,0.0,0.0
|
||||
5.23,Emotionen,0.61,Wille,Lernende,psychisch,Emotion/SC,5,0.61,0.4552238805970149,0.0,0.0
|
||||
5.24,Emotionen (Emotionale Intelligenz),0.5,Wille,Lernende,psychisch,Emotion/SC,5,0.5,0.3731343283582089,0.0,0.0
|
||||
5.25,Emotionen (Wohlbefinden),0.08,Wille,Lernende,psychisch,Emotion/SC,5,0.08,0.05970149253731343,0.0,0.0
|
||||
5.26,Positiv-aktivierend (Freude),0.5,Wille,Lernende,psychisch,Emotion/SC,5,0.5,0.3731343283582089,0.0,0.0
|
||||
5.27,Positiv-aktivierend (Hoffnung),0.2,Wille,Lernende,psychisch,Emotion/SC,5,0.2,0.14925373134328357,0.0,0.0
|
||||
5.28,Positiv-aktivierend (Neugierde),0.74,Wille,Lernende,psychisch,Emotion/SC,5,0.74,0.5522388059701492,0.0,0.0
|
||||
5.29,Positiv-aktivierend (Glücklichsein),0.54,Wille,Lernende,psychisch,Emotion/SC,5,0.54,0.40298507462686567,0.0,0.0
|
||||
5.3,Positiv-aktivierend (Entspannung),0.16,Wille,Lernende,psychisch,Emotion/SC,5,0.16,0.11940298507462686,0.0,0.0
|
||||
5.31,negativ-aktivierend (Angst),-0.4,Wille,Lernende,psychisch,Emotion/SC,5,0.4,0.29850746268656714,0.0,0.0
|
||||
5.32,negativ-aktivierend (Depressionen),-0.3,Wille,Lernende,psychisch,Emotion/SC,5,0.3,0.22388059701492535,0.0,0.0
|
||||
5.33,negativ-aktivierend (Wut),-0.65,Wille,Lernende,psychisch,Emotion/SC,5,0.65,0.48507462686567165,0.0,0.0
|
||||
5.34,negativ-aktivierend (Frustration),-0.04,Wille,Lernende,psychisch,Emotion/SC,5,0.04,0.029850746268656716,0.0,0.0
|
||||
5.35,negativ-aktivierend (Aggression und Gewalt),0.03,Wille,Lernende,psychisch,Emotion/SC,5,0.03,0.022388059701492536,0.0,0.0
|
||||
5.36,negativ-aktivierend (Langeweile),-0.46,Wille,Lernende,psychisch,Emotion/SC,5,0.46,0.34328358208955223,0.0,0.0
|
||||
5.37,kognitive Dispositionen (Morgentypus vs. Abendtypus),0.18,Wille,Lernende,psychisch,Emotion/SC,5,0.18,0.13432835820895522,0.0,0.0
|
||||
5.38,kognitive Dispositionen (Prokrastination),-0.41,Wille,Lernende,psychisch,Emotion/SC,5,0.41,0.3059701492537313,0.0,0.0
|
||||
5.39,Frühgeburt / Geburtsgewicht,-0.59,Thrill: Motivation,Lernende,psychisch,Emotion/SC,5,0.59,0.4402985074626865,0.0,0.0
|
||||
5.4,Stillen,-0.04,Thrill: Motivation,Lernende,psychisch,Emotion/SC,5,0.04,0.029850746268656716,0.0,0.0
|
||||
5.41,Krankheit,-0.51,Thrill: Motivation,Lernende,psychisch,Emotion/SC,5,0.51,0.3805970149253731,0.0,0.0
|
||||
5.42,Körperliche Syndrome,-0.42,Thrill: Motivation,Lernende,psychisch,Emotion/SC,5,0.42,0.3134328358208955,0.0,0.0
|
||||
5.43,Misshandlung,-0.63,Thrill: Motivation,Lernende,psychisch,Emotion/SC,5,0.63,0.47014925373134325,0.0,0.0
|
||||
5.44,Autismus,0.08,Thrill: Motivation,Lernende,psychisch,Emotion/SC,5,0.08,0.05970149253731343,0.0,0.0
|
||||
5.45,Schlafdauer und Schlafqualität,0.02,Thrill: Motivation,Lernende,psychisch,Emotion/SC,5,0.02,0.014925373134328358,0.0,0.0
|
||||
5.46,Zucker,-0.13,Thrill: Motivation,Lernende,psychisch,Emotion/SC,5,0.13,0.09701492537313433,0.0,0.0
|
||||
5.47,Bewegung,0.25,Thrill: Motivation,Lernende,psychisch,Emotion/SC,5,0.25,0.18656716417910446,0.0,0.0
|
||||
5.48,Positive Sicht auf eigene Ethnizität,0.17,Thrill: Motivation,Lernende,psychisch,Emotion/SC,5,0.17,0.12686567164179105,0.0,0.0
|
||||
5.49,Dachloser Dialekt,-0.29,Thrill: Motivation,Lernende,psychisch,Emotion/SC,5,0.29,0.21641791044776115,0.0,0.0
|
||||
5.5,Bedrohung durch Stereotype,-0.19,Thrill: Motivation,Lernende,psychisch,Emotion/SC,5,0.19,0.1417910447761194,0.0,0.0
|
||||
5.51,Geschlechterunterschiede,0.0,Thrill: Motivation,Lernende,psychisch,Emotion/SC,5,0.0,0.0,0.0,0.0
|
||||
6.01,Sozioökonomischer Status,0.56,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.56,0.41791044776119407,0.0,0.0
|
||||
6.02,Bezug staatlicher Transferleistungen,-0.12,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.12,0.08955223880597014,0.0,0.0
|
||||
6.03,Erwerbstätigkeit der Mutter,0.05,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.05,0.03731343283582089,0.0,0.0
|
||||
6.04,Stipendien,0.03,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.03,0.022388059701492536,0.0,0.0
|
||||
6.05,Einwanderungsstatus,0.05,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.05,0.03731343283582089,0.0,0.0
|
||||
6.06,Familienstruktur,0.14,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.14,0.10447761194029852,0.0,0.0
|
||||
6.07,Geschieden,-0.26,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.26,0.19402985074626866,0.0,0.0
|
||||
6.08,nicht-geschieden vs. wiederverheiratet,0.24,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.24,0.1791044776119403,0.0,0.0
|
||||
6.09,Adoption,0.21,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.21,0.15671641791044774,0.0,0.0
|
||||
6.1,Kinderheime,0.33,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.33,0.2462686567164179,0.0,0.0
|
||||
6.11,Häusliches Anregungsniveau,0.4,Familiäre Ressourcen,Elternhaus und Familie,psychisch,Stabilität,6,0.4,0.29850746268656714,0.0,0.0
|
||||
6.12,Elternunterstützung beim Lernen,0.41,Familiäre Ressourcen,Elternhaus und Familie,psychisch,Stabilität,6,0.41,0.3059701492537313,0.0,0.0
|
||||
6.13,Elterliche Autonomieunterstützung (Familienhilfe),0.06,Familiäre Ressourcen,Elternhaus und Familie,psychisch,Stabilität,6,0.06,0.04477611940298507,0.0,0.0
|
||||
6.14,Elternerwartungen,0.49,Familiäre Ressourcen,Elternhaus und Familie,psychisch,Stabilität,6,0.49,0.3656716417910447,0.0,0.0
|
||||
6.15,Körperliche Züchtigung,-0.33,Familiäre Ressourcen,Elternhaus und Familie,psychisch,Stabilität,6,0.33,0.2462686567164179,0.0,0.0
|
||||
6.16,Väter,0.21,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.21,0.15671641791044774,0.0,0.0
|
||||
6.17,Schulwechsel,-0.38,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.38,0.2835820895522388,0.0,0.0
|
||||
6.18,Fernsehen,-0.15,Familiäre Ressourcen,Elternhaus und Familie,psychisch,Stabilität,6,0.15,0.11194029850746268,0.0,0.0
|
||||
6.19,Programme für Eltern,0.39,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.39,0.291044776119403,0.0,0.0
|
||||
6.2,Hausbesuche durch Lehrpersonen,0.22,Familiäre Ressourcen,Elternhaus und Familie,sozial,Stabilität,6,0.22,0.16417910447761194,0.0,0.0
|
||||
7.01,Finanzielle Ausstattung,0.19,Finanzielle Ausstattung und Rechenschaftspflicht,Schule und Gesellschaft,sozial,Stabilität,7,0.19,0.1417910447761194,0.0,0.0
|
||||
7.02,Accountability / Rechenschaftspflicht,0.27,Finanzielle Ausstattung und Rechenschaftspflicht,Schule und Gesellschaft,sozial,Stabilität,7,0.27,0.20149253731343283,0.0,0.0
|
||||
7.03,Leistungsbezogene Bezahlung,0.05,Finanzielle Ausstattung und Rechenschaftspflicht,Schule und Gesellschaft,sozial,Stabilität,7,0.05,0.03731343283582089,0.0,0.0
|
||||
7.04,Qualität des Schulgebäudes,0.24,Finanzielle Ausstattung und Rechenschaftspflicht,Schule und Gesellschaft,sozial,Stabilität,7,0.24,0.1791044776119403,0.0,0.0
|
||||
7.05,Vertragsschulen / Charter-Schulen,0.04,Schularten,Schule und Gesellschaft,sozial,Stabilität,7,0.04,0.029850746268656716,0.0,0.0
|
||||
7.06,Konfessionsschulen,0.23,Schularten,Schule und Gesellschaft,sozial,Stabilität,7,0.23,0.17164179104477612,0.0,0.0
|
||||
7.07,Monoedukation,0.07,Schularten,Schule und Gesellschaft,sozial,Stabilität,7,0.07,0.05223880597014926,0.0,0.0
|
||||
7.08,Dauer der Sommerferien,-0.09,Schularten,Schule und Gesellschaft,sozial,Stabilität,7,0.09,0.06716417910447761,0.0,0.0
|
||||
7.09,Sommerschulen,0.17,Schularten,Schule und Gesellschaft,sozial,Stabilität,7,0.17,0.12686567164179105,0.0,0.0
|
||||
7.1,Schulkalender / Stundenplan,0.1,Schularten,Schule und Gesellschaft,sozial,Stabilität,7,0.1,0.07462686567164178,0.0,0.0
|
||||
7.11,Desegration,0.23,Auswirkungen der Schulzusammensetzung,Schule und Gesellschaft,sozial,Stabilität,7,0.23,0.17164179104477612,0.0,0.0
|
||||
7.12,Ethnische Vielfalt,0.09,Auswirkungen der Schulzusammensetzung,Schule und Gesellschaft,sozial,Stabilität,7,0.09,0.06716417910447761,0.0,0.0
|
||||
7.13,Wohnheimunterbringung,0.05,Auswirkungen der Schulzusammensetzung,Schule und Gesellschaft,sozial,Stabilität,7,0.05,0.03731343283582089,0.0,0.0
|
||||
7.14,Schulgröße,0.33,Auswirkungen der Schulzusammensetzung,Schule und Gesellschaft,sozial,Stabilität,7,0.33,0.2462686567164179,0.0,0.0
|
||||
7.15,Neuordnung des Schulbezirks,0.05,Auswirkungen der Schulzusammensetzung,Schule und Gesellschaft,sozial,Stabilität,7,0.05,0.03731343283582089,0.0,0.0
|
||||
7.16,Schulwahlfreiheit,0.27,Auswirkungen der Schulzusammensetzung,Schule und Gesellschaft,sozial,Stabilität,7,0.27,0.20149253731343283,0.0,0.0
|
||||
7.17,Fördermaßnahmen im Sekundarbereich I,0.18,Auswirkungen der Schulzusammensetzung,Schule und Gesellschaft,sozial,Stabilität,7,0.18,0.13432835820895522,0.0,0.0
|
||||
7.18,Schulleitung,0.37,Auswirkungen der Vorschulmaßnahmen,Schule und Gesellschaft,sozial,Stabilität,7,0.37,0.2761194029850746,0.0,0.0
|
||||
7.19,Schulklima,0.53,Auswirkungen der Vorschulmaßnahmen,Schule und Gesellschaft,sozial,Stabilität,7,0.53,0.39552238805970147,0.0,0.0
|
||||
7.2,Schuleffekte,0.48,Auswirkungen der Vorschulmaßnahmen,Schule und Gesellschaft,sozial,Stabilität,7,0.48,0.3582089552238806,0.0,0.0
|
||||
8.01,Klassengröße,0.17,Effekte der Klassenzusammensetzung,Klassenzimmer,sozial,Stabilität,8,0.17,0.12686567164179105,0.0,0.0
|
||||
8.02,Offene Klassenzimmer,0.02,Effekte der Klassenzusammensetzung,Klassenzimmer,sozial,Stabilität,8,0.02,0.014925373134328358,0.0,0.0
|
||||
8.03,Leistungsbezogene Klassenbildung (Tracking),0.09,Effekte der Klassenzusammensetzung,Klassenzimmer,sozial,Stabilität,8,0.09,0.06716417910447761,0.0,0.0
|
||||
8.04,Auflösung einer leistungsbezogenen Einteilung in Lerngruppen (Detracking),0.09,Effekte der Klassenzusammensetzung,Klassenzimmer,sozial,Stabilität,8,0.09,0.06716417910447761,0.0,0.0
|
||||
8.05,Jahrgangsübergreifende Klassen,-0.01,Effekte der Klassenzusammensetzung,Klassenzimmer,sozial,Stabilität,8,0.01,0.007462686567164179,0.0,0.0
|
||||
8.06,Allgemeines Lernen in Kleingruppen,0.16,Effekte der Klassenzusammensetzung,Klassenzimmer,psychisch,Struktur/Kompetenz,8,0.16,0.11940298507462686,0.0,0.0
|
||||
8.07,Aufgabenbezogenes Lernen in Kleingruppen,0.46,Effekte der Klassenzusammensetzung,Klassenzimmer,psychisch,Struktur/Kompetenz,8,0.46,0.34328358208955223,0.0,0.0
|
||||
8.08,Inklusive Beschulung,0.52,Effekte der Klassenzusammensetzung,Klassenzimmer,sozial,Stabilität,8,0.52,0.3880597014925373,0.0,0.0
|
||||
8.09,Förderklassen für Hochbegabte,0.21,Effekte der Klassenzusammensetzung,Klassenzimmer,sozial,Stabilität,8,0.21,0.15671641791044774,0.0,0.0
|
||||
8.1,Klassenführung,0.43,Einflüsse im Klassenzimmer,Klassenzimmer,sozial,Orientierung,8,0.43,0.3208955223880597,0.0,0.0
|
||||
8.11,Aktive Pausen im Klassenzimmer,0.16,Einflüsse im Klassenzimmer,Klassenzimmer,sozial,Orientierung,8,0.16,0.11940298507462686,0.0,0.0
|
||||
8.12,(Cyber-)Bulling,-0.28,Einflüsse im Klassenzimmer,Klassenzimmer,sozial,Orientierung,8,0.28,0.20895522388059704,0.0,0.0
|
||||
8.13,Reduktion von Unterrichtsstörungen,0.82,Einflüsse im Klassenzimmer,Klassenzimmer,sozial,Orientierung,8,0.82,0.6119402985074626,0.0,0.0
|
||||
8.14,Schulverweis / Schulausschluss,-0.2,Einflüsse im Klassenzimmer,Klassenzimmer,sozial,Orientierung,8,0.2,0.14925373134328357,0.0,0.0
|
||||
8.15,ADHS-Behandlung mit Medikamenten,0.3,Einflüsse im Klassenzimmer,Klassenzimmer,psychisch,Orientierung,8,0.3,0.22388059701492535,0.0,0.0
|
||||
8.16,ADHS-Interventionsprogramme,0.44,Einflüsse im Klassenzimmer,Klassenzimmer,psychisch,Orientierung,8,0.44,0.3283582089552239,0.0,0.0
|
||||
8.18,Klassenklima,0.29,Klassenklima,Klassenzimmer,sozial,Stabilität,8,0.29,0.21641791044776115,0.0,0.0
|
||||
8.19,Klassenzusammenhalt,0.66,Klassenklima,Klassenzimmer,sozial,Bindung,8,0.66,0.4925373134328358,0.0,0.0
|
||||
8.2,Lehrer-Schüler-Beziehung,0.62,Klassenklima,Klassenzimmer,sozial,Bindung,8,0.62,0.46268656716417905,0.0,0.0
|
||||
8.21,Lehrer-Schüler-Abhängigkeit,-0.24,Klassenklima,Klassenzimmer,sozial,Stabilität,8,0.24,0.1791044776119403,0.0,0.0
|
||||
8.22,Freundschaften,0.35,Klassenklima,Klassenzimmer,sozial,Bindung,8,0.35,0.26119402985074625,0.0,0.0
|
||||
8.23,Schulzugehörigkeit,0.46,Klassenklima,Klassenzimmer,sozial,Bindung,8,0.46,0.34328358208955223,0.0,0.0
|
||||
8.24,Unbeliebtheit in der Klasse,-0.26,Klassenklima,Klassenzimmer,sozial,Stabilität,8,0.26,0.19402985074626866,0.0,0.0
|
||||
8.25,Lebensalter relativ zur Klasse,0.45,Klassenklima,Klassenzimmer,psychisch,Stabilität,8,0.45,0.33582089552238803,0.0,0.0
|
||||
8.26,Nicht-Versetzung,-0.24,Klassenklima,Klassenzimmer,psychisch,Stabilität,8,0.24,0.1791044776119403,0.0,0.0
|
||||
9.02,Sprachkompetenz,0.22,Einflüsse der Lehrperson,Lehrperson,psychisch,Bindung,9,0.22,0.16417910447761194,0.0,0.0
|
||||
9.03,Lehrererwartung - körperliche Attraktivität,0.36,Einflüsse der Lehrperson,Lehrperson,psychisch,Bindung,9,0.36,0.26865671641791045,0.0,0.0
|
||||
9.04,Nichtetikettieren von Lernenden,0.61,Einflüsse der Lehrperson,Lehrperson,psychisch,Bindung,9,0.61,0.4552238805970149,0.0,0.0
|
||||
9.05,Einschätzung des Leistungsniveaus durch die Lehrperson,1.3,Einflüsse der Lehrperson,Lehrperson,psychisch,Bindung,9,1.3,0.9701492537313433,0.0,0.0
|
||||
9.06,Glaubwürdigkeit,1.09,Einflüsse der Lehrperson,Lehrperson,psychisch,Bindung,9,1.09,0.8134328358208955,0.0,0.0
|
||||
9.07,Klarheit der Lehrperson,0.85,Einflüsse der Lehrperson,Lehrperson,psychisch,Bindung,9,0.85,0.6343283582089552,0.0,0.0
|
||||
9.08,Kollektive Wirksamkeitserwartung,1.34,Einflüsse der Lehrperson,Lehrperson,psychisch,Bindung,9,1.34,1.0,0.0,0.0
|
||||
9.09,Lehrerbildung,0.1,Entwicklung von Lehrerprofessionalität,Lehrperson,sozial,Struktur/Kompetenz,9,0.1,0.07462686567164178,0.0,0.0
|
||||
9.1,Qualifikation von Lehrpersonen,0.39,Entwicklung von Lehrerprofessionalität,Lehrperson,sozial,Struktur/Kompetenz,9,0.39,0.291044776119403,0.0,0.0
|
||||
9.11,Lehrerfort- und -weiterbildung,0.44,Entwicklung von Lehrerprofessionalität,Lehrperson,sozial,Struktur/Kompetenz,9,0.44,0.3283582089552239,0.0,0.0
|
||||
9.12,Coaching,0.26,Entwicklung von Lehrerprofessionalität,Lehrperson,sozial,Struktur/Kompetenz,9,0.26,0.19402985074626866,0.0,0.0
|
||||
9.13,Micro-Teaching,1.01,Entwicklung von Lehrerprofessionalität,Lehrperson,sozial,Struktur/Kompetenz,9,1.01,0.753731343283582,0.0,0.0
|
||||
9.14,Fachkompetenz,0.13,Entwicklung von Lehrerprofessionalität,Lehrperson,psychisch,Struktur/Kompetenz,9,0.13,0.09701492537313433,0.0,0.0
|
||||
10.01,Umfangreiches didaktisches Lese‑Begleitmaterial,0.57,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.57,0.42537313432835816,0.0,0.0
|
||||
10.02,Leseförderung für besondere Gruppen,0.82,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.82,0.6119402985074626,0.0,0.0
|
||||
10.03,Integrative Leseförderung,0.42,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.42,0.3134328358208955,0.0,0.0
|
||||
10.04,Musikbasierte Förderung,0.38,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.38,0.2835820895522388,0.0,0.0
|
||||
10.05,Lesestrategien,0.47,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.47,0.3507462686567164,0.0,0.0
|
||||
10.06,Laitier‑Methode,0.48,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.48,0.3582089552238806,0.0,0.0
|
||||
10.07,Phonologische Bewusstheit,0.75,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.75,0.5597014925373134,0.0,0.0
|
||||
10.08,Ton‑ oder Interferenzförderung,0.43,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.43,0.3208955223880597,0.0,0.0
|
||||
10.09,Vokabel‑ und Wortschatzförderung,0.62,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.62,0.46268656716417905,0.0,0.0
|
||||
10.1,Förderung der visuellen Wahrnehmung,0.67,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.67,0.5,0.0,0.0
|
||||
10.11,Wiederholtes Lesen,0.8,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.8,0.5970149253731343,0.0,0.0
|
||||
10.12,Sätze kombinieren,0.13,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.13,0.09701492537313433,0.0,0.0
|
||||
10.13,Lese‑Verständnis‑Förderung,0.5,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.5,0.3731343283582089,0.0,0.0
|
||||
10.14,Leseerfahrung,0.5,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.5,0.3731343283582089,0.0,0.0
|
||||
10.15,Ganzheitsmethoden,0.14,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.14,0.10447761194029852,0.0,0.0
|
||||
10.16,Förderung im Erstleseunterricht,0.47,Curriculare Programme (Lesen),Curriculum,sozial,Struktur/Kompetenz,10,0.47,0.3507462686567164,0.0,0.0
|
||||
10.17,Schreibförderung,0.53,Schreibförderung,Curriculum,sozial,Struktur/Kompetenz,10,0.53,0.39552238805970147,0.0,0.0
|
||||
10.18,Rechtschreibförderprogramme,0.53,Rechtschreibförderung,Curriculum,sozial,Struktur/Kompetenz,10,0.53,0.39552238805970147,0.0,0.0
|
||||
10.19,Theater- und Kunstprogramme,0.55,Theater- und Kunstprogramm / Musikprogramme,Curriculum,sozial,Struktur/Kompetenz,10,0.55,0.41044776119402987,0.0,0.0
|
||||
10.2,Musikprogramme,0.33,Theater- und Kunstprogramm / Musikprogramme,Curriculum,sozial,Struktur/Kompetenz,10,0.33,0.2462686567164179,0.0,0.0
|
||||
10.21,Mathematisches Anschauungsmaterial,0.38,Lehrpläne und Förderung im Bereich Mathematik,Curriculum,sozial,Struktur/Kompetenz,10,0.38,0.2835820895522388,0.0,0.0
|
||||
10.22,Einsatz von Taschenrechnern,0.25,Lehrpläne und Förderung im Bereich Mathematik,Curriculum,sozial,Struktur/Kompetenz,10,0.25,0.18656716417910446,0.0,0.0
|
||||
10.23,Programmieren,0.46,Lehrpläne und Förderung im Bereich Mathematik,Curriculum,sozial,Struktur/Kompetenz,10,0.46,0.34328358208955223,0.0,0.0
|
||||
10.24,Zusatzangebote für Hochbegabte,0.49,Angebote für begabte Lernende,Curriculum,sozial,Struktur/Kompetenz,10,0.49,0.3656716417910447,0.0,0.0
|
||||
10.25,Akzeleration,0.53,Angebote für begabte Lernende,Curriculum,sozial,Struktur/Kompetenz,10,0.53,0.39552238805970147,0.0,0.0
|
||||
10.26,Fächerübergreifende Curricula,0.39,Andere Lehrplanbereiche,Curriculum,sozial,Struktur/Kompetenz,10,0.39,0.291044776119403,0.0,0.0
|
||||
10.27,Programme zur ökonomischen Bildung,0.16,Andere Lehrplanbereiche,Curriculum,sozial,Struktur/Kompetenz,10,0.16,0.11940298507462686,0.0,0.0
|
||||
10.28,Förderung der Motivation,0.45,Andere Lehrplanbereiche,Curriculum,sozial,Struktur/Kompetenz,10,0.45,0.33582089552238803,0.0,0.0
|
||||
10.29,Moralerziehung,0.4,Andere Lehrplanbereiche,Curriculum,sozial,Emotion/SC,10,0.4,0.29850746268656714,0.0,0.0
|
||||
10.3,Ergebnisorientierte Bildung,0.97,Andere Lehrplanbereiche,Curriculum,sozial,Struktur/Kompetenz,10,0.97,0.7238805970149254,0.0,0.0
|
||||
10.31,Förderung der Sozialkompetenz,0.4,Andere Lehrplanbereiche,Curriculum,sozial,Bindung,10,0.4,0.29850746268656714,0.0,0.0
|
||||
10.32,Programme zum Umgang mit Vielfalt,0.09,Andere Lehrplanbereiche,Curriculum,sozial,Struktur/Kompetenz,10,0.09,0.06716417910447761,0.0,0.0
|
||||
10.33,Kreativitätsförderung,0.51,Andere Lehrplanbereiche,Curriculum,sozial,Struktur/Kompetenz,10,0.51,0.3805970149253731,0.0,0.0
|
||||
10.34,Schach,0.34,Andere Lehrplanbereiche,Curriculum,sozial,Struktur/Kompetenz,10,0.34,0.2537313432835821,0.0,0.0
|
||||
10.35,Erlebnispädagogik,0.49,Andere Lehrplanbereiche,Curriculum,sozial,Struktur/Kompetenz,10,0.49,0.3656716417910447,0.0,0.0
|
||||
10.36,Programme für jugendliche Straftäter,0.12,Andere Lehrplanbereiche,Curriculum,sozial,Struktur/Kompetenz,10,0.12,0.08955223880597014,0.0,0.0
|
||||
10.37,Spielförderung,0.52,Andere Lehrplanbereiche,Curriculum,sozial,Struktur/Kompetenz,10,0.52,0.3880597014925373,0.0,0.0
|
||||
10.38,Bilingualer Unterricht,0.4,Andere Lehrplanbereiche,Curriculum,sozial,Struktur/Kompetenz,10,0.4,0.29850746268656714,0.0,0.0
|
||||
10.39,College-Förderkurse,0.2,Andere Lehrplanbereiche,Curriculum,sozial,Struktur/Kompetenz,10,0.2,0.14925373134328357,0.0,0.0
|
||||
10.4,Berufsbildungsprogramme,0.38,Andere Lehrplanbereiche,Curriculum,sozial,Struktur/Kompetenz,10,0.38,0.2835820895522388,0.0,0.0
|
||||
11.01,Verhaltensziele / Advanced Organizers,0.41,Zielintentionen,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.41,0.3059701492537313,0.0,0.0
|
||||
11.02,Vorausschauendes Planen,0.83,Zielintentionen,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.83,0.6194029850746268,0.0,0.0
|
||||
11.03,Lernzielhierarchisierung,0.19,Zielintentionen,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.19,0.1417910447761194,0.0,0.0
|
||||
11.04,Concept Mapping,0.62,Zielintentionen,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.62,0.46268656716417905,0.0,0.0
|
||||
11.05,Erfolgskriterien,0.64,Erfolgskriterien,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.64,0.47761194029850745,0.0,0.0
|
||||
11.06,Planung des Ziels,0.6,Erfolgskriterien,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.6,0.4477611940298507,0.0,0.0
|
||||
11.07,Einvernehmen über Ziele (Zielbindung),0.44,Erfolgskriterien,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.44,0.3283582089552239,0.0,0.0
|
||||
11.08,Lernziele (Aufgaben-Orientierung),0.67,Erfolgskriterien,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.67,0.5,0.0,0.0
|
||||
11.09,Fallbeispiele,0.47,Erfolgskriterien,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.47,0.3507462686567164,0.0,0.0
|
||||
11.1,Kognitive Aufgabenanalyse (Cognitive Task Analysis),1.09,Erfolgskriterien,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,1.09,0.8134328358208955,0.0,0.0
|
||||
11.11,Feedback (Lernende),0.47,Feedback,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.47,0.3507462686567164,0.0,0.0
|
||||
11.12,Feedback (Technikunterstützung),0.55,Feedback,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.55,0.41044776119402987,0.0,0.0
|
||||
11.13,Fragen stellen,0.49,Feedback,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.49,0.3656716417910447,0.0,0.0
|
||||
11.14,Produktives Scheitern,0.39,Feedback,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.39,0.291044776119403,0.0,0.0
|
||||
11.15,Klassendiskussionen,0.82,Feedback,Lernzielorientiertes Unterrichten,sozial,Emotion/SC,11,0.82,0.6119402985074626,0.0,0.0
|
||||
11.16,Peer- und Selbstbeurteilung,0.54,Feedback,Lernzielorientiertes Unterrichten,sozial,Emotion/SC,11,0.54,0.40298507462686567,0.0,0.0
|
||||
11.17,Formative Evaluation,0.4,Feedback,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.4,0.29850746268656714,0.0,0.0
|
||||
11.18,Häufigkeit von Tests,0.39,Feedback,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.39,0.291044776119403,0.0,0.0
|
||||
11.19,Übungstests,0.59,Feedback,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.59,0.4402985074626865,0.0,0.0
|
||||
11.2,Alternative Bewertungsmethoden,0.67,Feedback,Lernzielorientiertes Unterrichten,sozial,Orientierung,11,0.67,0.5,0.0,0.0
|
||||
13.01,Direkte Instruktion,0.56,Methoden (Oberflächenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.56,0.41791044776119407,0.0,0.0
|
||||
13.02,Explizite Unterrichtsstrategien,0.63,Methoden (Oberflächenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.63,0.47014925373134325,0.0,0.0
|
||||
13.03,Kognitive Verhaltenserziehung,0.29,Methoden (Oberflächenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.29,0.21641791044776115,0.0,0.0
|
||||
13.04,Aktivierung vs. klassische Vorlesung,-0.26,Methoden (Oberflächenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.26,0.19402985074626866,0.0,0.0
|
||||
13.05,Co-Teaching/Team-Teaching,0.21,Methoden (Oberflächenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.21,0.15671641791044774,0.0,0.0
|
||||
13.06,Reaktion auf Intervention (Response to Intervention),0.73,Methoden (Oberflächenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.73,0.544776119402985,0.0,0.0
|
||||
13.07,Ergänzende Materialien,0.64,Methoden (Oberflächenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.64,0.47761194029850745,0.0,0.0
|
||||
13.08,Unmittelbarkeit der Lehrperson,0.16,Methoden (Oberflächenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.16,0.11940298507462686,0.0,0.0
|
||||
13.09,Hintergrundmusik,0.08,Methoden (Oberflächenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.08,0.05970149253731343,0.0,0.0
|
||||
13.1,Humor,0.04,Methoden (Oberflächenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.04,0.029850746268656716,0.0,0.0
|
||||
13.11,Problembasiertes Lernen,0.45,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.45,0.33582089552238803,0.0,0.0
|
||||
13.12,Problemlösen,0.61,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.61,0.4552238805970149,0.0,0.0
|
||||
13.13,Flipped Classroom,0.56,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.56,0.41791044776119407,0.0,0.0
|
||||
13.14,Forschendes Lernen,0.5,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.5,0.3731343283582089,0.0,0.0
|
||||
13.15,Induktives Vorgehen,0.6,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.6,0.4477611940298507,0.0,0.0
|
||||
13.16,Reziprokes Lehren,0.74,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.74,0.5522388059701492,0.0,0.0
|
||||
13.17,Entdeckendes Lernen,0.27,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.27,0.20149253731343283,0.0,0.0
|
||||
13.18,Konstruktivistisches Lehren,0.92,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.92,0.6865671641791045,0.0,0.0
|
||||
13.19,Scaffolding und situiertes Lernen,0.52,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.52,0.3880597014925373,0.0,0.0
|
||||
13.2,Kollaboratives Lernen,0.45,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.45,0.33582089552238803,0.0,0.0
|
||||
13.21,Kooperatives Lernen,0.52,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.52,0.3880597014925373,0.0,0.0
|
||||
13.22,Kooperatives vs. kompetitives Lernen,0.58,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.58,0.4328358208955223,0.0,0.0
|
||||
13.23,Kooperatives vs. individuelles Lernen,0.62,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.62,0.46268656716417905,0.0,0.0
|
||||
13.24,Philosophieren,0.54,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.54,0.40298507462686567,0.0,0.0
|
||||
13.25,Außerschulische Lehrer-Schüler-Gespräche,0.54,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.54,0.40298507462686567,0.0,0.0
|
||||
13.26,Mentoring,0.18,Methoden (Tiefenverständnis),Lehrstrategien,sozial,Struktur/Kompetenz,13,0.18,0.13432835820895522,0.0,0.0
|
||||
14.01,Clicker,0.21,Wichtige Grundsätze für den Einsatz von Technologien,Nutzung von Technologien,sozial,Struktur/Kompetenz,14,0.21,0.15671641791044774,0.0,0.0
|
||||
14.02,Simulationen,0.53,Wichtige Grundsätze für den Einsatz von Technologien,Nutzung von Technologien,sozial,Struktur/Kompetenz,14,0.53,0.39552238805970147,0.0,0.0
|
||||
14.03,Simulationsspiele,0.41,Wichtige Grundsätze für den Einsatz von Technologien,Nutzung von Technologien,sozial,Struktur/Kompetenz,14,0.41,0.3059701492537313,0.0,0.0
|
||||
15.1,Umfassende Schulreformprogramme,0.29,Schulische Programme,Schulische und außerschulische Einflüsse,sozial,Stabilität,15,0.29,0.21641791044776115,0.0,0.0
|
||||
15.2,Schulprogramme zur Verringerung des Leistungsgefälles,0.11,Schulische Programme,Schulische und außerschulische Einflüsse,sozial,Stabilität,15,0.11,0.08208955223880597,0.0,0.0
|
||||
15.3,Interventionen für Lernende mit besonderem Förderbedarf,0.74,Schulische Programme,Schulische und außerschulische Einflüsse,sozial,Stabilität,15,0.74,0.5522388059701492,0.0,0.0
|
||||
15.4,Lernen durch Engagement (Service Learning),0.53,Außerschulische Programme,Schulische und außerschulische Einflüsse,sozial,Stabilität,15,0.53,0.39552238805970147,0.0,0.0
|
||||
15.5,Unterrichtsbezogene Kooperationen zwischen Elternhaus und Schule,0.16,Außerschulische Programme,Schulische und außerschulische Einflüsse,sozial,Stabilität,15,0.16,0.11940298507462686,0.0,0.0
|
||||
15.6,Außerschulische Angebote,0.24,Außerschulische Programme,Schulische und außerschulische Einflüsse,sozial,Stabilität,15,0.24,0.1791044776119403,0.0,0.0
|
||||
15.7,Außercurriculare Aktivitäten,0.1,Außerschulische Programme,Schulische und außerschulische Einflüsse,sozial,Stabilität,15,0.1,0.07462686567164178,0.0,0.0
|
||||
15.8,Hausaufgaben,0.29,Außerschulische Programme,Schulische und außerschulische Einflüsse,sozial,Stabilität,15,0.29,0.21641791044776115,0.0,0.0
|
||||
|
1001
export/robust_bootstrap_Q.csv
Normal file
1001
export/robust_bootstrap_Q.csv
Normal file
File diff suppressed because it is too large
Load Diff
502
export/robust_nullmodel_Q.csv
Normal file
502
export/robust_nullmodel_Q.csv
Normal file
@ -0,0 +1,502 @@
|
||||
trial,Q,is_observed
|
||||
0,0.44661932708310903,1
|
||||
1,0.44661932708310903,0
|
||||
2,0.44661932708310903,0
|
||||
3,0.44661932708310903,0
|
||||
4,0.44661932708310903,0
|
||||
5,0.44661932708310903,0
|
||||
6,0.44661932708310903,0
|
||||
7,0.44661932708310903,0
|
||||
8,0.44661932708310903,0
|
||||
9,0.44661932708310903,0
|
||||
10,0.44661932708310903,0
|
||||
11,0.44661932708310903,0
|
||||
12,0.44661932708310903,0
|
||||
13,0.44661932708310903,0
|
||||
14,0.44661932708310903,0
|
||||
15,0.44661932708310903,0
|
||||
16,0.44661932708310903,0
|
||||
17,0.44661932708310903,0
|
||||
18,0.44661932708310903,0
|
||||
19,0.44661932708310903,0
|
||||
20,0.44661932708310903,0
|
||||
21,0.44661932708310903,0
|
||||
22,0.44661932708310903,0
|
||||
23,0.44661932708310903,0
|
||||
24,0.44661932708310903,0
|
||||
25,0.44661932708310903,0
|
||||
26,0.44661932708310903,0
|
||||
27,0.44661932708310903,0
|
||||
28,0.44661932708310903,0
|
||||
29,0.44661932708310903,0
|
||||
30,0.44661932708310903,0
|
||||
31,0.44661932708310903,0
|
||||
32,0.44661932708310903,0
|
||||
33,0.44661932708310903,0
|
||||
34,0.44661932708310903,0
|
||||
35,0.44661932708310903,0
|
||||
36,0.44661932708310903,0
|
||||
37,0.44661932708310903,0
|
||||
38,0.44661932708310903,0
|
||||
39,0.44661932708310903,0
|
||||
40,0.44661932708310903,0
|
||||
41,0.44661932708310903,0
|
||||
42,0.44661932708310903,0
|
||||
43,0.44661932708310903,0
|
||||
44,0.44661932708310903,0
|
||||
45,0.44661932708310903,0
|
||||
46,0.44661932708310903,0
|
||||
47,0.44661932708310903,0
|
||||
48,0.44661932708310903,0
|
||||
49,0.44661932708310903,0
|
||||
50,0.44661932708310903,0
|
||||
51,0.44661932708310903,0
|
||||
52,0.44661932708310903,0
|
||||
53,0.44661932708310903,0
|
||||
54,0.44661932708310903,0
|
||||
55,0.44661932708310903,0
|
||||
56,0.44661932708310903,0
|
||||
57,0.44661932708310903,0
|
||||
58,0.44661932708310903,0
|
||||
59,0.44661932708310903,0
|
||||
60,0.44661932708310903,0
|
||||
61,0.44661932708310903,0
|
||||
62,0.44661932708310903,0
|
||||
63,0.44661932708310903,0
|
||||
64,0.44661932708310903,0
|
||||
65,0.44661932708310903,0
|
||||
66,0.44661932708310903,0
|
||||
67,0.44661932708310903,0
|
||||
68,0.44661932708310903,0
|
||||
69,0.44661932708310903,0
|
||||
70,0.44661932708310903,0
|
||||
71,0.44661932708310903,0
|
||||
72,0.44661932708310903,0
|
||||
73,0.44661932708310903,0
|
||||
74,0.44661932708310903,0
|
||||
75,0.44661932708310903,0
|
||||
76,0.44661932708310903,0
|
||||
77,0.44661932708310903,0
|
||||
78,0.44661932708310903,0
|
||||
79,0.44661932708310903,0
|
||||
80,0.44661932708310903,0
|
||||
81,0.44661932708310903,0
|
||||
82,0.44661932708310903,0
|
||||
83,0.44661932708310903,0
|
||||
84,0.44661932708310903,0
|
||||
85,0.44661932708310903,0
|
||||
86,0.44661932708310903,0
|
||||
87,0.44661932708310903,0
|
||||
88,0.44661932708310903,0
|
||||
89,0.44661932708310903,0
|
||||
90,0.44661932708310903,0
|
||||
91,0.44661932708310903,0
|
||||
92,0.44661932708310903,0
|
||||
93,0.44661932708310903,0
|
||||
94,0.44661932708310903,0
|
||||
95,0.44661932708310903,0
|
||||
96,0.44661932708310903,0
|
||||
97,0.44661932708310903,0
|
||||
98,0.44661932708310903,0
|
||||
99,0.44661932708310903,0
|
||||
100,0.44661932708310903,0
|
||||
101,0.44661932708310903,0
|
||||
102,0.44661932708310903,0
|
||||
103,0.44661932708310903,0
|
||||
104,0.44661932708310903,0
|
||||
105,0.44661932708310903,0
|
||||
106,0.44661932708310903,0
|
||||
107,0.44661932708310903,0
|
||||
108,0.44661932708310903,0
|
||||
109,0.44661932708310903,0
|
||||
110,0.44661932708310903,0
|
||||
111,0.44661932708310903,0
|
||||
112,0.44661932708310903,0
|
||||
113,0.44661932708310903,0
|
||||
114,0.44661932708310903,0
|
||||
115,0.44661932708310903,0
|
||||
116,0.44661932708310903,0
|
||||
117,0.44661932708310903,0
|
||||
118,0.44661932708310903,0
|
||||
119,0.44661932708310903,0
|
||||
120,0.44661932708310903,0
|
||||
121,0.44661932708310903,0
|
||||
122,0.44661932708310903,0
|
||||
123,0.44661932708310903,0
|
||||
124,0.44661932708310903,0
|
||||
125,0.44661932708310903,0
|
||||
126,0.44661932708310903,0
|
||||
127,0.44661932708310903,0
|
||||
128,0.44661932708310903,0
|
||||
129,0.44661932708310903,0
|
||||
130,0.44661932708310903,0
|
||||
131,0.44661932708310903,0
|
||||
132,0.44661932708310903,0
|
||||
133,0.44661932708310903,0
|
||||
134,0.44661932708310903,0
|
||||
135,0.44661932708310903,0
|
||||
136,0.44661932708310903,0
|
||||
137,0.44661932708310903,0
|
||||
138,0.44661932708310903,0
|
||||
139,0.44661932708310903,0
|
||||
140,0.44661932708310903,0
|
||||
141,0.44661932708310903,0
|
||||
142,0.44661932708310903,0
|
||||
143,0.44661932708310903,0
|
||||
144,0.44661932708310903,0
|
||||
145,0.44661932708310903,0
|
||||
146,0.44661932708310903,0
|
||||
147,0.44661932708310903,0
|
||||
148,0.44661932708310903,0
|
||||
149,0.44661932708310903,0
|
||||
150,0.44661932708310903,0
|
||||
151,0.44661932708310903,0
|
||||
152,0.44661932708310903,0
|
||||
153,0.44661932708310903,0
|
||||
154,0.44661932708310903,0
|
||||
155,0.44661932708310903,0
|
||||
156,0.44661932708310903,0
|
||||
157,0.44661932708310903,0
|
||||
158,0.44661932708310903,0
|
||||
159,0.44661932708310903,0
|
||||
160,0.44661932708310903,0
|
||||
161,0.44661932708310903,0
|
||||
162,0.44661932708310903,0
|
||||
163,0.44661932708310903,0
|
||||
164,0.44661932708310903,0
|
||||
165,0.44661932708310903,0
|
||||
166,0.44661932708310903,0
|
||||
167,0.44661932708310903,0
|
||||
168,0.44661932708310903,0
|
||||
169,0.44661932708310903,0
|
||||
170,0.44661932708310903,0
|
||||
171,0.44661932708310903,0
|
||||
172,0.44661932708310903,0
|
||||
173,0.44661932708310903,0
|
||||
174,0.44661932708310903,0
|
||||
175,0.44661932708310903,0
|
||||
176,0.44661932708310903,0
|
||||
177,0.44661932708310903,0
|
||||
178,0.44661932708310903,0
|
||||
179,0.44661932708310903,0
|
||||
180,0.44661932708310903,0
|
||||
181,0.44661932708310903,0
|
||||
182,0.44661932708310903,0
|
||||
183,0.44661932708310903,0
|
||||
184,0.44661932708310903,0
|
||||
185,0.44661932708310903,0
|
||||
186,0.44661932708310903,0
|
||||
187,0.44661932708310903,0
|
||||
188,0.44661932708310903,0
|
||||
189,0.44661932708310903,0
|
||||
190,0.44661932708310903,0
|
||||
191,0.44661932708310903,0
|
||||
192,0.44661932708310903,0
|
||||
193,0.44661932708310903,0
|
||||
194,0.44661932708310903,0
|
||||
195,0.44661932708310903,0
|
||||
196,0.44661932708310903,0
|
||||
197,0.44661932708310903,0
|
||||
198,0.44661932708310903,0
|
||||
199,0.44661932708310903,0
|
||||
200,0.44661932708310903,0
|
||||
201,0.44661932708310903,0
|
||||
202,0.44661932708310903,0
|
||||
203,0.44661932708310903,0
|
||||
204,0.44661932708310903,0
|
||||
205,0.44661932708310903,0
|
||||
206,0.44661932708310903,0
|
||||
207,0.44661932708310903,0
|
||||
208,0.44661932708310903,0
|
||||
209,0.44661932708310903,0
|
||||
210,0.44661932708310903,0
|
||||
211,0.44661932708310903,0
|
||||
212,0.44661932708310903,0
|
||||
213,0.44661932708310903,0
|
||||
214,0.44661932708310903,0
|
||||
215,0.44661932708310903,0
|
||||
216,0.44661932708310903,0
|
||||
217,0.44661932708310903,0
|
||||
218,0.44661932708310903,0
|
||||
219,0.44661932708310903,0
|
||||
220,0.44661932708310903,0
|
||||
221,0.44661932708310903,0
|
||||
222,0.44661932708310903,0
|
||||
223,0.44661932708310903,0
|
||||
224,0.44661932708310903,0
|
||||
225,0.44661932708310903,0
|
||||
226,0.44661932708310903,0
|
||||
227,0.44661932708310903,0
|
||||
228,0.44661932708310903,0
|
||||
229,0.44661932708310903,0
|
||||
230,0.44661932708310903,0
|
||||
231,0.44661932708310903,0
|
||||
232,0.44661932708310903,0
|
||||
233,0.44661932708310903,0
|
||||
234,0.44661932708310903,0
|
||||
235,0.44661932708310903,0
|
||||
236,0.44661932708310903,0
|
||||
237,0.44661932708310903,0
|
||||
238,0.44661932708310903,0
|
||||
239,0.44661932708310903,0
|
||||
240,0.44661932708310903,0
|
||||
241,0.44661932708310903,0
|
||||
242,0.44661932708310903,0
|
||||
243,0.44661932708310903,0
|
||||
244,0.44661932708310903,0
|
||||
245,0.44661932708310903,0
|
||||
246,0.44661932708310903,0
|
||||
247,0.44661932708310903,0
|
||||
248,0.44661932708310903,0
|
||||
249,0.44661932708310903,0
|
||||
250,0.44661932708310903,0
|
||||
251,0.44661932708310903,0
|
||||
252,0.44661932708310903,0
|
||||
253,0.44661932708310903,0
|
||||
254,0.44661932708310903,0
|
||||
255,0.44661932708310903,0
|
||||
256,0.44661932708310903,0
|
||||
257,0.44661932708310903,0
|
||||
258,0.44661932708310903,0
|
||||
259,0.44661932708310903,0
|
||||
260,0.44661932708310903,0
|
||||
261,0.44661932708310903,0
|
||||
262,0.44661932708310903,0
|
||||
263,0.44661932708310903,0
|
||||
264,0.44661932708310903,0
|
||||
265,0.44661932708310903,0
|
||||
266,0.44661932708310903,0
|
||||
267,0.44661932708310903,0
|
||||
268,0.44661932708310903,0
|
||||
269,0.44661932708310903,0
|
||||
270,0.44661932708310903,0
|
||||
271,0.44661932708310903,0
|
||||
272,0.44661932708310903,0
|
||||
273,0.44661932708310903,0
|
||||
274,0.44661932708310903,0
|
||||
275,0.44661932708310903,0
|
||||
276,0.44661932708310903,0
|
||||
277,0.44661932708310903,0
|
||||
278,0.44661932708310903,0
|
||||
279,0.44661932708310903,0
|
||||
280,0.44661932708310903,0
|
||||
281,0.44661932708310903,0
|
||||
282,0.44661932708310903,0
|
||||
283,0.44661932708310903,0
|
||||
284,0.44661932708310903,0
|
||||
285,0.44661932708310903,0
|
||||
286,0.44661932708310903,0
|
||||
287,0.44661932708310903,0
|
||||
288,0.44661932708310903,0
|
||||
289,0.44661932708310903,0
|
||||
290,0.44661932708310903,0
|
||||
291,0.44661932708310903,0
|
||||
292,0.44661932708310903,0
|
||||
293,0.44661932708310903,0
|
||||
294,0.44661932708310903,0
|
||||
295,0.44661932708310903,0
|
||||
296,0.44661932708310903,0
|
||||
297,0.44661932708310903,0
|
||||
298,0.44661932708310903,0
|
||||
299,0.44661932708310903,0
|
||||
300,0.44661932708310903,0
|
||||
301,0.44661932708310903,0
|
||||
302,0.44661932708310903,0
|
||||
303,0.44661932708310903,0
|
||||
304,0.44661932708310903,0
|
||||
305,0.44661932708310903,0
|
||||
306,0.44661932708310903,0
|
||||
307,0.44661932708310903,0
|
||||
308,0.44661932708310903,0
|
||||
309,0.44661932708310903,0
|
||||
310,0.44661932708310903,0
|
||||
311,0.44661932708310903,0
|
||||
312,0.44661932708310903,0
|
||||
313,0.44661932708310903,0
|
||||
314,0.44661932708310903,0
|
||||
315,0.44661932708310903,0
|
||||
316,0.44661932708310903,0
|
||||
317,0.44661932708310903,0
|
||||
318,0.44661932708310903,0
|
||||
319,0.44661932708310903,0
|
||||
320,0.44661932708310903,0
|
||||
321,0.44661932708310903,0
|
||||
322,0.44661932708310903,0
|
||||
323,0.44661932708310903,0
|
||||
324,0.44661932708310903,0
|
||||
325,0.44661932708310903,0
|
||||
326,0.44661932708310903,0
|
||||
327,0.44661932708310903,0
|
||||
328,0.44661932708310903,0
|
||||
329,0.44661932708310903,0
|
||||
330,0.44661932708310903,0
|
||||
331,0.44661932708310903,0
|
||||
332,0.44661932708310903,0
|
||||
333,0.44661932708310903,0
|
||||
334,0.44661932708310903,0
|
||||
335,0.44661932708310903,0
|
||||
336,0.44661932708310903,0
|
||||
337,0.44661932708310903,0
|
||||
338,0.44661932708310903,0
|
||||
339,0.44661932708310903,0
|
||||
340,0.44661932708310903,0
|
||||
341,0.44661932708310903,0
|
||||
342,0.44661932708310903,0
|
||||
343,0.44661932708310903,0
|
||||
344,0.44661932708310903,0
|
||||
345,0.44661932708310903,0
|
||||
346,0.44661932708310903,0
|
||||
347,0.44661932708310903,0
|
||||
348,0.44661932708310903,0
|
||||
349,0.44661932708310903,0
|
||||
350,0.44661932708310903,0
|
||||
351,0.44661932708310903,0
|
||||
352,0.44661932708310903,0
|
||||
353,0.44661932708310903,0
|
||||
354,0.44661932708310903,0
|
||||
355,0.44661932708310903,0
|
||||
356,0.44661932708310903,0
|
||||
357,0.44661932708310903,0
|
||||
358,0.44661932708310903,0
|
||||
359,0.44661932708310903,0
|
||||
360,0.44661932708310903,0
|
||||
361,0.44661932708310903,0
|
||||
362,0.44661932708310903,0
|
||||
363,0.44661932708310903,0
|
||||
364,0.44661932708310903,0
|
||||
365,0.44661932708310903,0
|
||||
366,0.44661932708310903,0
|
||||
367,0.44661932708310903,0
|
||||
368,0.44661932708310903,0
|
||||
369,0.44661932708310903,0
|
||||
370,0.44661932708310903,0
|
||||
371,0.44661932708310903,0
|
||||
372,0.44661932708310903,0
|
||||
373,0.44661932708310903,0
|
||||
374,0.44661932708310903,0
|
||||
375,0.44661932708310903,0
|
||||
376,0.44661932708310903,0
|
||||
377,0.44661932708310903,0
|
||||
378,0.44661932708310903,0
|
||||
379,0.44661932708310903,0
|
||||
380,0.44661932708310903,0
|
||||
381,0.44661932708310903,0
|
||||
382,0.44661932708310903,0
|
||||
383,0.44661932708310903,0
|
||||
384,0.44661932708310903,0
|
||||
385,0.44661932708310903,0
|
||||
386,0.44661932708310903,0
|
||||
387,0.44661932708310903,0
|
||||
388,0.44661932708310903,0
|
||||
389,0.44661932708310903,0
|
||||
390,0.44661932708310903,0
|
||||
391,0.44661932708310903,0
|
||||
392,0.44661932708310903,0
|
||||
393,0.44661932708310903,0
|
||||
394,0.44661932708310903,0
|
||||
395,0.44661932708310903,0
|
||||
396,0.44661932708310903,0
|
||||
397,0.44661932708310903,0
|
||||
398,0.44661932708310903,0
|
||||
399,0.44661932708310903,0
|
||||
400,0.44661932708310903,0
|
||||
401,0.44661932708310903,0
|
||||
402,0.44661932708310903,0
|
||||
403,0.44661932708310903,0
|
||||
404,0.44661932708310903,0
|
||||
405,0.44661932708310903,0
|
||||
406,0.44661932708310903,0
|
||||
407,0.44661932708310903,0
|
||||
408,0.44661932708310903,0
|
||||
409,0.44661932708310903,0
|
||||
410,0.44661932708310903,0
|
||||
411,0.44661932708310903,0
|
||||
412,0.44661932708310903,0
|
||||
413,0.44661932708310903,0
|
||||
414,0.44661932708310903,0
|
||||
415,0.44661932708310903,0
|
||||
416,0.44661932708310903,0
|
||||
417,0.44661932708310903,0
|
||||
418,0.44661932708310903,0
|
||||
419,0.44661932708310903,0
|
||||
420,0.44661932708310903,0
|
||||
421,0.44661932708310903,0
|
||||
422,0.44661932708310903,0
|
||||
423,0.44661932708310903,0
|
||||
424,0.44661932708310903,0
|
||||
425,0.44661932708310903,0
|
||||
426,0.44661932708310903,0
|
||||
427,0.44661932708310903,0
|
||||
428,0.44661932708310903,0
|
||||
429,0.44661932708310903,0
|
||||
430,0.44661932708310903,0
|
||||
431,0.44661932708310903,0
|
||||
432,0.44661932708310903,0
|
||||
433,0.44661932708310903,0
|
||||
434,0.44661932708310903,0
|
||||
435,0.44661932708310903,0
|
||||
436,0.44661932708310903,0
|
||||
437,0.44661932708310903,0
|
||||
438,0.44661932708310903,0
|
||||
439,0.44661932708310903,0
|
||||
440,0.44661932708310903,0
|
||||
441,0.44661932708310903,0
|
||||
442,0.44661932708310903,0
|
||||
443,0.44661932708310903,0
|
||||
444,0.44661932708310903,0
|
||||
445,0.44661932708310903,0
|
||||
446,0.44661932708310903,0
|
||||
447,0.44661932708310903,0
|
||||
448,0.44661932708310903,0
|
||||
449,0.44661932708310903,0
|
||||
450,0.44661932708310903,0
|
||||
451,0.44661932708310903,0
|
||||
452,0.44661932708310903,0
|
||||
453,0.44661932708310903,0
|
||||
454,0.44661932708310903,0
|
||||
455,0.44661932708310903,0
|
||||
456,0.44661932708310903,0
|
||||
457,0.44661932708310903,0
|
||||
458,0.44661932708310903,0
|
||||
459,0.44661932708310903,0
|
||||
460,0.44661932708310903,0
|
||||
461,0.44661932708310903,0
|
||||
462,0.44661932708310903,0
|
||||
463,0.44661932708310903,0
|
||||
464,0.44661932708310903,0
|
||||
465,0.44661932708310903,0
|
||||
466,0.44661932708310903,0
|
||||
467,0.44661932708310903,0
|
||||
468,0.44661932708310903,0
|
||||
469,0.44661932708310903,0
|
||||
470,0.44661932708310903,0
|
||||
471,0.44661932708310903,0
|
||||
472,0.44661932708310903,0
|
||||
473,0.44661932708310903,0
|
||||
474,0.44661932708310903,0
|
||||
475,0.44661932708310903,0
|
||||
476,0.44661932708310903,0
|
||||
477,0.44661932708310903,0
|
||||
478,0.44661932708310903,0
|
||||
479,0.44661932708310903,0
|
||||
480,0.44661932708310903,0
|
||||
481,0.44661932708310903,0
|
||||
482,0.44661932708310903,0
|
||||
483,0.44661932708310903,0
|
||||
484,0.44661932708310903,0
|
||||
485,0.44661932708310903,0
|
||||
486,0.44661932708310903,0
|
||||
487,0.44661932708310903,0
|
||||
488,0.44661932708310903,0
|
||||
489,0.44661932708310903,0
|
||||
490,0.44661932708310903,0
|
||||
491,0.44661932708310903,0
|
||||
492,0.44661932708310903,0
|
||||
493,0.44661932708310903,0
|
||||
494,0.44661932708310903,0
|
||||
495,0.44661932708310903,0
|
||||
496,0.44661932708310903,0
|
||||
497,0.44661932708310903,0
|
||||
498,0.44661932708310903,0
|
||||
499,0.44661932708310903,0
|
||||
500,0.44661932708310903,0
|
||||
|
2002
export/robust_permutation_needs.csv
Normal file
2002
export/robust_permutation_needs.csv
Normal file
File diff suppressed because it is too large
Load Diff
227
export/robust_sensitivity_items.csv
Normal file
227
export/robust_sensitivity_items.csv
Normal file
@ -0,0 +1,227 @@
|
||||
Thermometer_ID,CI_sum_after_drop,CI_delta
|
||||
5.01,0.0,0.0
|
||||
10.15,0.0,0.0
|
||||
10.16,0.0,0.0
|
||||
10.17,0.0,0.0
|
||||
10.18,0.0,0.0
|
||||
10.19,0.0,0.0
|
||||
10.2,0.0,0.0
|
||||
10.21,0.0,0.0
|
||||
10.22,0.0,0.0
|
||||
10.23,0.0,0.0
|
||||
10.24,0.0,0.0
|
||||
10.25,0.0,0.0
|
||||
10.14,0.0,0.0
|
||||
10.26,0.0,0.0
|
||||
10.28,0.0,0.0
|
||||
10.29,0.0,0.0
|
||||
10.3,0.0,0.0
|
||||
10.31,0.0,0.0
|
||||
10.32,0.0,0.0
|
||||
10.33,0.0,0.0
|
||||
10.34,0.0,0.0
|
||||
10.35,0.0,0.0
|
||||
10.36,0.0,0.0
|
||||
10.37,0.0,0.0
|
||||
10.38,0.0,0.0
|
||||
10.27,0.0,0.0
|
||||
10.39,0.0,0.0
|
||||
10.13,0.0,0.0
|
||||
10.11,0.0,0.0
|
||||
8.26,0.0,0.0
|
||||
9.02,0.0,0.0
|
||||
9.03,0.0,0.0
|
||||
9.04,0.0,0.0
|
||||
9.05,0.0,0.0
|
||||
9.06,0.0,0.0
|
||||
9.07,0.0,0.0
|
||||
9.08,0.0,0.0
|
||||
9.09,0.0,0.0
|
||||
9.1,0.0,0.0
|
||||
9.11,0.0,0.0
|
||||
10.12,0.0,0.0
|
||||
9.12,0.0,0.0
|
||||
9.14,0.0,0.0
|
||||
10.01,0.0,0.0
|
||||
10.02,0.0,0.0
|
||||
10.03,0.0,0.0
|
||||
10.04,0.0,0.0
|
||||
10.05,0.0,0.0
|
||||
10.06,0.0,0.0
|
||||
10.07,0.0,0.0
|
||||
10.08,0.0,0.0
|
||||
10.09,0.0,0.0
|
||||
10.1,0.0,0.0
|
||||
9.13,0.0,0.0
|
||||
10.4,0.0,0.0
|
||||
11.01,0.0,0.0
|
||||
11.02,0.0,0.0
|
||||
13.12,0.0,0.0
|
||||
13.13,0.0,0.0
|
||||
13.14,0.0,0.0
|
||||
13.15,0.0,0.0
|
||||
13.16,0.0,0.0
|
||||
13.17,0.0,0.0
|
||||
13.18,0.0,0.0
|
||||
13.19,0.0,0.0
|
||||
13.2,0.0,0.0
|
||||
13.21,0.0,0.0
|
||||
13.22,0.0,0.0
|
||||
13.11,0.0,0.0
|
||||
13.23,0.0,0.0
|
||||
13.25,0.0,0.0
|
||||
13.26,0.0,0.0
|
||||
14.01,0.0,0.0
|
||||
14.02,0.0,0.0
|
||||
14.03,0.0,0.0
|
||||
15.1,0.0,0.0
|
||||
15.2,0.0,0.0
|
||||
15.3,0.0,0.0
|
||||
15.4,0.0,0.0
|
||||
15.5,0.0,0.0
|
||||
15.6,0.0,0.0
|
||||
13.24,0.0,0.0
|
||||
13.1,0.0,0.0
|
||||
13.09,0.0,0.0
|
||||
13.08,0.0,0.0
|
||||
11.03,0.0,0.0
|
||||
11.04,0.0,0.0
|
||||
11.05,0.0,0.0
|
||||
11.06,0.0,0.0
|
||||
11.07,0.0,0.0
|
||||
11.08,0.0,0.0
|
||||
11.09,0.0,0.0
|
||||
11.1,0.0,0.0
|
||||
11.11,0.0,0.0
|
||||
11.12,0.0,0.0
|
||||
11.13,0.0,0.0
|
||||
11.14,0.0,0.0
|
||||
11.15,0.0,0.0
|
||||
11.16,0.0,0.0
|
||||
11.17,0.0,0.0
|
||||
11.18,0.0,0.0
|
||||
11.19,0.0,0.0
|
||||
11.2,0.0,0.0
|
||||
13.01,0.0,0.0
|
||||
13.02,0.0,0.0
|
||||
13.03,0.0,0.0
|
||||
13.04,0.0,0.0
|
||||
13.05,0.0,0.0
|
||||
13.06,0.0,0.0
|
||||
13.07,0.0,0.0
|
||||
8.25,0.0,0.0
|
||||
8.24,0.0,0.0
|
||||
8.23,0.0,0.0
|
||||
8.22,0.0,0.0
|
||||
5.31,0.0,0.0
|
||||
5.32,0.0,0.0
|
||||
5.33,0.0,0.0
|
||||
5.34,0.0,0.0
|
||||
5.35,0.0,0.0
|
||||
5.36,0.0,0.0
|
||||
5.37,0.0,0.0
|
||||
5.38,0.0,0.0
|
||||
5.39,0.0,0.0
|
||||
5.4,0.0,0.0
|
||||
5.41,0.0,0.0
|
||||
5.3,0.0,0.0
|
||||
5.42,0.0,0.0
|
||||
5.44,0.0,0.0
|
||||
5.45,0.0,0.0
|
||||
5.46,0.0,0.0
|
||||
5.47,0.0,0.0
|
||||
5.48,0.0,0.0
|
||||
5.49,0.0,0.0
|
||||
5.5,0.0,0.0
|
||||
5.51,0.0,0.0
|
||||
6.01,0.0,0.0
|
||||
6.02,0.0,0.0
|
||||
6.03,0.0,0.0
|
||||
5.43,0.0,0.0
|
||||
5.29,0.0,0.0
|
||||
5.28,0.0,0.0
|
||||
5.27,0.0,0.0
|
||||
5.02,0.0,0.0
|
||||
5.03,0.0,0.0
|
||||
5.04,0.0,0.0
|
||||
5.05,0.0,0.0
|
||||
5.06,0.0,0.0
|
||||
5.07,0.0,0.0
|
||||
5.08,0.0,0.0
|
||||
5.09,0.0,0.0
|
||||
5.1,0.0,0.0
|
||||
5.11,0.0,0.0
|
||||
5.12,0.0,0.0
|
||||
5.13,0.0,0.0
|
||||
5.14,0.0,0.0
|
||||
5.15,0.0,0.0
|
||||
5.16,0.0,0.0
|
||||
5.17,0.0,0.0
|
||||
5.18,0.0,0.0
|
||||
5.19,0.0,0.0
|
||||
5.2,0.0,0.0
|
||||
5.21,0.0,0.0
|
||||
5.22,0.0,0.0
|
||||
5.23,0.0,0.0
|
||||
5.24,0.0,0.0
|
||||
5.25,0.0,0.0
|
||||
5.26,0.0,0.0
|
||||
6.04,0.0,0.0
|
||||
15.7,0.0,0.0
|
||||
6.05,0.0,0.0
|
||||
6.07,0.0,0.0
|
||||
7.17,0.0,0.0
|
||||
7.18,0.0,0.0
|
||||
7.19,0.0,0.0
|
||||
7.2,0.0,0.0
|
||||
8.01,0.0,0.0
|
||||
8.02,0.0,0.0
|
||||
8.03,0.0,0.0
|
||||
8.04,0.0,0.0
|
||||
8.05,0.0,0.0
|
||||
8.06,0.0,0.0
|
||||
8.07,0.0,0.0
|
||||
7.16,0.0,0.0
|
||||
8.08,0.0,0.0
|
||||
8.1,0.0,0.0
|
||||
8.11,0.0,0.0
|
||||
8.12,0.0,0.0
|
||||
8.13,0.0,0.0
|
||||
8.14,0.0,0.0
|
||||
8.15,0.0,0.0
|
||||
8.16,0.0,0.0
|
||||
8.18,0.0,0.0
|
||||
8.19,0.0,0.0
|
||||
8.2,0.0,0.0
|
||||
8.21,0.0,0.0
|
||||
8.09,0.0,0.0
|
||||
7.15,0.0,0.0
|
||||
7.14,0.0,0.0
|
||||
7.13,0.0,0.0
|
||||
6.08,0.0,0.0
|
||||
6.09,0.0,0.0
|
||||
6.1,0.0,0.0
|
||||
6.11,0.0,0.0
|
||||
6.12,0.0,0.0
|
||||
6.13,0.0,0.0
|
||||
6.14,0.0,0.0
|
||||
6.15,0.0,0.0
|
||||
6.16,0.0,0.0
|
||||
6.17,0.0,0.0
|
||||
6.18,0.0,0.0
|
||||
6.19,0.0,0.0
|
||||
6.2,0.0,0.0
|
||||
7.01,0.0,0.0
|
||||
7.02,0.0,0.0
|
||||
7.03,0.0,0.0
|
||||
7.04,0.0,0.0
|
||||
7.05,0.0,0.0
|
||||
7.06,0.0,0.0
|
||||
7.07,0.0,0.0
|
||||
7.08,0.0,0.0
|
||||
7.09,0.0,0.0
|
||||
7.1,0.0,0.0
|
||||
7.11,0.0,0.0
|
||||
7.12,0.0,0.0
|
||||
6.06,0.0,0.0
|
||||
15.8,0.0,0.0
|
||||
|
201
export/robust_sensitivity_needswap.csv
Normal file
201
export/robust_sensitivity_needswap.csv
Normal file
@ -0,0 +1,201 @@
|
||||
trial,cp_total
|
||||
1,39.959999999999994
|
||||
2,37.16
|
||||
3,39.900000000000006
|
||||
4,40.78
|
||||
5,33.48
|
||||
6,40.86
|
||||
7,42.28
|
||||
8,36.839999999999996
|
||||
9,33.739999999999995
|
||||
10,39.860000000000014
|
||||
11,40.199999999999996
|
||||
12,41.160000000000004
|
||||
13,39.44
|
||||
14,43.400000000000006
|
||||
15,36.00000000000001
|
||||
16,42.239999999999995
|
||||
17,38.68
|
||||
18,41.84
|
||||
19,41.120000000000005
|
||||
20,41.32000000000001
|
||||
21,35.459999999999994
|
||||
22,41.74000000000001
|
||||
23,41.97999999999999
|
||||
24,39.92
|
||||
25,35.64
|
||||
26,33.800000000000004
|
||||
27,40.32000000000001
|
||||
28,39.9
|
||||
29,43.58
|
||||
30,40.66
|
||||
31,37.220000000000006
|
||||
32,39.480000000000004
|
||||
33,35.56
|
||||
34,36.2
|
||||
35,42.72
|
||||
36,47.38
|
||||
37,36.16
|
||||
38,44.040000000000006
|
||||
39,41.53999999999999
|
||||
40,36.36
|
||||
41,36.9
|
||||
42,37.099999999999994
|
||||
43,35.31999999999999
|
||||
44,37.519999999999996
|
||||
45,32.78
|
||||
46,39.96
|
||||
47,41.13999999999999
|
||||
48,36.93999999999999
|
||||
49,36.540000000000006
|
||||
50,44.53999999999999
|
||||
51,42.14
|
||||
52,42.56
|
||||
53,35.019999999999996
|
||||
54,38.28
|
||||
55,30.82
|
||||
56,38.720000000000006
|
||||
57,40.66
|
||||
58,36.36
|
||||
59,40.67999999999999
|
||||
60,41.7
|
||||
61,37.61999999999999
|
||||
62,41.599999999999994
|
||||
63,36.06
|
||||
64,42.239999999999995
|
||||
65,39.74000000000001
|
||||
66,39.16
|
||||
67,35.46
|
||||
68,36.459999999999994
|
||||
69,39.06
|
||||
70,40.78
|
||||
71,41.5
|
||||
72,39.02
|
||||
73,40.58
|
||||
74,39.2
|
||||
75,43.040000000000006
|
||||
76,39.080000000000005
|
||||
77,39.400000000000006
|
||||
78,38.739999999999995
|
||||
79,41.86
|
||||
80,37.14000000000001
|
||||
81,35.46000000000001
|
||||
82,40.82000000000001
|
||||
83,34.86000000000001
|
||||
84,39.059999999999995
|
||||
85,33.1
|
||||
86,37.33999999999999
|
||||
87,38.08
|
||||
88,41.82000000000001
|
||||
89,37.160000000000004
|
||||
90,44.52
|
||||
91,39.379999999999995
|
||||
92,39.760000000000005
|
||||
93,38.28
|
||||
94,40.36
|
||||
95,42.22
|
||||
96,46.6
|
||||
97,41.9
|
||||
98,39.68000000000001
|
||||
99,42.14
|
||||
100,43.92
|
||||
101,37.66
|
||||
102,35.58
|
||||
103,36.54
|
||||
104,41.019999999999996
|
||||
105,43.64
|
||||
106,35.14
|
||||
107,40.92
|
||||
108,37.80000000000001
|
||||
109,40.58
|
||||
110,42.42
|
||||
111,40.919999999999995
|
||||
112,42.81999999999999
|
||||
113,40.84
|
||||
114,36.96
|
||||
115,40.18
|
||||
116,34.279999999999994
|
||||
117,43.5
|
||||
118,40.019999999999996
|
||||
119,39.67999999999999
|
||||
120,42.379999999999995
|
||||
121,41.800000000000004
|
||||
122,37.400000000000006
|
||||
123,38.18000000000001
|
||||
124,39.36
|
||||
125,41.63999999999999
|
||||
126,40.339999999999996
|
||||
127,35.580000000000005
|
||||
128,40.18000000000001
|
||||
129,38.2
|
||||
130,43.239999999999995
|
||||
131,40.92
|
||||
132,36.980000000000004
|
||||
133,43.760000000000005
|
||||
134,35.82
|
||||
135,41.099999999999994
|
||||
136,38.040000000000006
|
||||
137,38.54
|
||||
138,36.459999999999994
|
||||
139,39.46000000000001
|
||||
140,43.140000000000015
|
||||
141,38.52
|
||||
142,40.96
|
||||
143,40.44
|
||||
144,37.24000000000001
|
||||
145,37.019999999999996
|
||||
146,39.84
|
||||
147,38.28
|
||||
148,38.800000000000004
|
||||
149,38.120000000000005
|
||||
150,37.46000000000001
|
||||
151,38.98
|
||||
152,41.82000000000001
|
||||
153,41.980000000000004
|
||||
154,42.18
|
||||
155,35.099999999999994
|
||||
156,37.86
|
||||
157,39.5
|
||||
158,37.36
|
||||
159,38.379999999999995
|
||||
160,37.699999999999996
|
||||
161,36.099999999999994
|
||||
162,37.64
|
||||
163,38.78
|
||||
164,47.26
|
||||
165,39.82
|
||||
166,40.56
|
||||
167,37.16
|
||||
168,40.92
|
||||
169,35.36
|
||||
170,34.64000000000001
|
||||
171,43.68000000000001
|
||||
172,44.080000000000005
|
||||
173,40.099999999999994
|
||||
174,37.499999999999986
|
||||
175,37.47999999999999
|
||||
176,36.88
|
||||
177,42.81999999999999
|
||||
178,39.28
|
||||
179,42.10000000000001
|
||||
180,44.379999999999995
|
||||
181,36.959999999999994
|
||||
182,40.620000000000005
|
||||
183,38.67999999999999
|
||||
184,44.400000000000006
|
||||
185,42.5
|
||||
186,37.22
|
||||
187,40.480000000000004
|
||||
188,43.06
|
||||
189,40.959999999999994
|
||||
190,42.26
|
||||
191,35.86
|
||||
192,39.68000000000001
|
||||
193,38.559999999999995
|
||||
194,41.74000000000001
|
||||
195,35.42
|
||||
196,38.660000000000004
|
||||
197,37.96000000000001
|
||||
198,42.44
|
||||
199,40.099999999999994
|
||||
200,37.32000000000001
|
||||
|
2
export/robust_sensitivity_topk.csv
Normal file
2
export/robust_sensitivity_topk.csv
Normal file
@ -0,0 +1,2 @@
|
||||
k,removed_ids,Q_after,CI_sum_after
|
||||
10,9.08;9.05;5.05;11.1;9.06;9.13;10.3;5.01;5.11;5.1,0.40699792372929505,0.0
|
||||
|
47
export/robust_summary.json
Normal file
47
export/robust_summary.json
Normal file
@ -0,0 +1,47 @@
|
||||
{
|
||||
"observed": {
|
||||
"Q_psych_sozial": 0.44661932708310903,
|
||||
"CI_sum": 0.0,
|
||||
"n_items": 226
|
||||
},
|
||||
"bootstrap": {
|
||||
"B": 1000,
|
||||
"Q_mean": 0.44481991494704254,
|
||||
"Q_ci95": [
|
||||
0.3980235522824357,
|
||||
0.480178735261584
|
||||
],
|
||||
"CI_sum_mean": 0.0,
|
||||
"CI_sum_ci95": [
|
||||
0.0,
|
||||
0.0
|
||||
]
|
||||
},
|
||||
"permutation_needs": {
|
||||
"P": 2000,
|
||||
"observed_cp_total": 33.56,
|
||||
"p_value_right": 1.0,
|
||||
"p_value_left": 0.000999000999000999
|
||||
},
|
||||
"nullmodels": {
|
||||
"M": 500,
|
||||
"Q_obs": 0.44661932708310903,
|
||||
"Q_null_mean": 0.44661932708310903,
|
||||
"Q_null_ci95": [
|
||||
0.44661932708310903,
|
||||
0.44661932708310903
|
||||
]
|
||||
},
|
||||
"sensitivity": {
|
||||
"leave_one_out_min_CI_sum": 0.0,
|
||||
"top_k_removed": 10,
|
||||
"top_k_Q_after": 0.40699792372929505,
|
||||
"top_k_CI_sum_after": 0.0,
|
||||
"need_swap_trials": 200,
|
||||
"need_swap_cp_mean": 39.4089,
|
||||
"need_swap_cp_ci95": [
|
||||
33.798500000000004,
|
||||
44.403000000000006
|
||||
]
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user