Add an old script to test JCQ reversal.

.idea/misc.xml

@@ -17,7 +17,15 @@
             </RMarkdownRenderProfile>
           </value>
         </entry>
+        <entry key="file://$PROJECT_DIR$/statistical_analysis/scale_reliability.rmd">
+          <value>
+            <RMarkdownRenderProfile>
+              <option name="lastOutput" value="$PROJECT_DIR$/statistical_analysis/scale_reliability.nb.html" />
+              <option name="outputDirectoryUrl" value="file://$PROJECT_DIR$/statistical_analysis" />
+            </RMarkdownRenderProfile>
+          </value>
+        </entry>
       </map>
     </option>
   </component>
-</project>
+</project>

.idea/rGraphicsSettings.xml

@@ -0,0 +1,9 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="RGraphicsSettings">
+    <option name="height" value="600" />
+    <option name="resolution" value="75" />
+    <option name="version" value="2" />
+    <option name="width" value="960" />
+  </component>
+</project>

.idea/rMarkdownGraphicsSettings.xml

@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="RMarkdownGraphicsSettings">
+    <option name="globalResolution" value="75" />
+    <option name="version" value="2" />
+  </component>
+</project>

.idea/rSettings.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="RSettings">
+    <option name="interpreterPath" value="C:\Program Files\R\R-4.3.1\bin\R.exe" />
+  </component>
+</project>

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+)]",
+)