diff --git a/.idea/misc.xml b/.idea/misc.xml
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diff --git a/.idea/rGraphicsSettings.xml b/.idea/rGraphicsSettings.xml
new file mode 100644
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diff --git a/.idea/rMarkdownGraphicsSettings.xml b/.idea/rMarkdownGraphicsSettings.xml
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diff --git a/.idea/rSettings.xml b/.idea/rSettings.xml
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diff --git a/exploration/test_JCQ_reversal.py b/exploration/test_JCQ_reversal.py
new file mode 100644
index 0000000..bd9f854
--- /dev/null
+++ b/exploration/test_JCQ_reversal.py
@@ -0,0 +1,217 @@
+# ---
+# jupyter:
+# jupytext:
+# text_representation:
+# extension: .py
+# format_name: percent
+# format_version: '1.3'
+# jupytext_version: 1.14.5
+# kernelspec:
+# display_name: straw2analysis
+# language: python
+# name: straw2analysis
+# ---
+
+# %%
+import pandas as pd
+
+from features.esm_JCQ import dict_JCQ_demand_control_reverse
+
+# %%
+limesurvey_questions = pd.read_csv(
+ "E:/STRAWbaseline/survey637813+question_text.csv", header=None
+).T
+
+# %%
+limesurvey_questions
+
+# %%
+limesurvey_questions[["code", "text"]] = limesurvey_questions[0].str.split(
+ r"\.\s", expand=True, n=1
+)
+
+# %%
+limesurvey_questions
+
+# %%
+demand_reverse_lime_rows = (
+ limesurvey_questions["text"].str.startswith(" [Od mene se ne zahteva,")
+ | limesurvey_questions["text"].str.startswith(" [Imam dovolj časa, da končam")
+ | limesurvey_questions["text"].str.startswith(
+ " [Pri svojem delu se ne srečujem s konfliktnimi"
+ )
+)
+control_reverse_lime_rows = limesurvey_questions["text"].str.startswith(
+ " [Moje delo vključuje veliko ponavljajočega"
+) | limesurvey_questions["text"].str.startswith(
+ " [Pri svojem delu imam zelo malo svobode"
+)
+
+# %%
+demand_reverse_lime = limesurvey_questions[demand_reverse_lime_rows]
+demand_reverse_lime.loc[:, "qid"] = demand_reverse_lime["code"].str.extract(
+ r"\[(\d+)\]"
+)
+control_reverse_lime = limesurvey_questions[control_reverse_lime_rows]
+control_reverse_lime.loc[:, "qid"] = control_reverse_lime["code"].str.extract(
+ r"\[(\d+)\]"
+)
+
+# %%
+limesurvey_questions.loc[89, "text"]
+
+# %%
+limesurvey_questions[limesurvey_questions["code"].str.startswith("JobEisen")]
+
+# %%
+demand_reverse_lime
+
+# %%
+control_reverse_lime
+
+# %%
+participant_info = pd.read_csv(
+ "C:/Users/junos/Documents/FWO-ARRS/Analysis/straw2analysis/rapids/data/raw/p031/participant_baseline_raw.csv",
+ parse_dates=["date_of_birth"],
+)
+
+# %%
+participant_info_t = participant_info.T
+
+# %%
+rows_baseline = participant_info_t.index
+
+# %%
+rows_demand = rows_baseline.str.startswith("JobEisen") & ~rows_baseline.str.endswith(
+ "Time"
+)
+
+# %%
+rows_baseline[rows_demand]
+
+# %%
+limesurvey_control = (
+ participant_info_t[rows_demand]
+ .reset_index()
+ .rename(columns={"index": "question", 0: "score_original"})
+)
+
+# %%
+limesurvey_control
+
+# %%
+limesurvey_control["qid"] = (
+ limesurvey_control["question"].str.extract(r"\[(\d+)\]").astype(int)
+)
+
+# %%
+limesurvey_control["question"].str.extract(r"\[(\d+)\]").astype(int)
+
+# %%
+limesurvey_control["score"] = limesurvey_control["score_original"]
+
+# %%
+limesurvey_control["qid"][0]
+
+# %%
+rows_demand_reverse = limesurvey_control["qid"].isin(
+ dict_JCQ_demand_control_reverse.keys()
+)
+limesurvey_control.loc[rows_demand_reverse, "score"] = (
+ 4 + 1 - limesurvey_control.loc[rows_demand_reverse, "score_original"]
+)
+
+# %%
+JCQ_DEMAND = "JobEisen"
+JCQ_CONTROL = "JobControle"
+dict_JCQ_demand_control_reverse = {
+ JCQ_DEMAND: {
+ 3: " [Od mene se ne zahteva,",
+ 4: " [Imam dovolj časa, da končam",
+ 5: " [Pri svojem delu se ne srečujem s konfliktnimi",
+ },
+ JCQ_CONTROL: {
+ 2: " |Moje delo vključuje veliko ponavljajočega",
+ 6: " [Pri svojem delu imam zelo malo svobode",
+ },
+}
+
+# %%
+limesurvey_control
+
+# %%
+test = pd.DataFrame(
+ data={"question": "one", "score_original": 3, "score": 3, "qid": 10}, index=[0]
+)
+
+# %%
+pd.concat([test, limesurvey_control]).reset_index()
+
+# %%
+limesurvey_control["score"].sum()
+
+# %%
+rows_demand_reverse
+
+# %%
+dict_JCQ_demand_control_reverse[JCQ_DEMAND].keys()
+
+# %%
+limesurvey_control
+
+# %%
+DEMAND_CONTROL_RATIO_MIN = 5 / (9 * 4)
+DEMAND_CONTROL_RATIO_MAX = (4 * 5) / 9
+
+JCQ_NORMS = {
+ "F": {
+ 0: DEMAND_CONTROL_RATIO_MIN,
+ 1: 0.45,
+ 2: 0.52,
+ 3: 0.62,
+ 4: DEMAND_CONTROL_RATIO_MAX,
+ },
+ "M": {
+ 0: DEMAND_CONTROL_RATIO_MIN,
+ 1: 0.41,
+ 2: 0.48,
+ 3: 0.56,
+ 4: DEMAND_CONTROL_RATIO_MAX,
+ },
+}
+
+# %%
+JCQ_NORMS[participant_info.loc[0, "gender"]][0]
+
+# %%
+participant_info_t.index.str.startswith("JobControle")
+
+# %%
+columns_baseline = participant_info.columns
+
+# %%
+columns_demand = columns_baseline.str.startswith(
+ "JobControle"
+) & ~columns_baseline.str.endswith("Time")
+
+# %%
+columns_baseline[columns_demand]
+
+# %%
+participant_control = participant_info.loc[:, columns_demand]
+
+# %%
+participant_control["id"] = participant_control.index
+
+# %%
+participant_control
+
+# %%
+pd.wide_to_long(
+ participant_control,
+ stubnames="JobControle",
+ i="id",
+ j="qid",
+ sep="[",
+ suffix="(\\d+)]",
+)