diff --git a/Robustheitsprüfung.py b/Robustheitsprüfung.py
new file mode 100644
index 0000000..9e1c38c
--- /dev/null
+++ b/Robustheitsprüfung.py
@@ -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()
diff --git a/export/observed_coupling_per_need.csv b/export/observed_coupling_per_need.csv
new file mode 100644
index 0000000..702da89
--- /dev/null
+++ b/export/observed_coupling_per_need.csv
@@ -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
diff --git a/export/observed_per_item_metrics.csv b/export/observed_per_item_metrics.csv
new file mode 100644
index 0000000..48cb648
--- /dev/null
+++ b/export/observed_per_item_metrics.csv
@@ -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
diff --git a/export/robust_bootstrap_Q.csv b/export/robust_bootstrap_Q.csv
new file mode 100644
index 0000000..1d03134
--- /dev/null
+++ b/export/robust_bootstrap_Q.csv
@@ -0,0 +1,1001 @@
+b,Q,CI_sum
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+4,0.4577841515483113,0.0
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+10,0.412823519304659,0.0
+11,0.46213045084839344,0.0
+12,0.4535556502689175,0.0
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+14,0.4008081612035672,0.0
+15,0.4529156547147614,0.0
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diff --git a/export/robust_nullmodel_Q.csv b/export/robust_nullmodel_Q.csv
new file mode 100644
index 0000000..6343b36
--- /dev/null
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diff --git a/export/robust_permutation_needs.csv b/export/robust_permutation_needs.csv
new file mode 100644
index 0000000..acf81e1
--- /dev/null
+++ b/export/robust_permutation_needs.csv
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diff --git a/export/robust_sensitivity_items.csv b/export/robust_sensitivity_items.csv
new file mode 100644
index 0000000..75f50a5
--- /dev/null
+++ b/export/robust_sensitivity_items.csv
@@ -0,0 +1,227 @@
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diff --git a/export/robust_sensitivity_needswap.csv b/export/robust_sensitivity_needswap.csv
new file mode 100644
index 0000000..f79c595
--- /dev/null
+++ b/export/robust_sensitivity_needswap.csv
@@ -0,0 +1,201 @@
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diff --git a/export/robust_sensitivity_topk.csv b/export/robust_sensitivity_topk.csv
new file mode 100644
index 0000000..1232363
--- /dev/null
+++ b/export/robust_sensitivity_topk.csv
@@ -0,0 +1,2 @@
+k,removed_ids,Q_after,CI_sum_after
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diff --git a/export/robust_summary.json b/export/robust_summary.json
new file mode 100644
index 0000000..8cafe57
--- /dev/null
+++ b/export/robust_summary.json
@@ -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
+    ]
+  }
+}
\ No newline at end of file