Add Performance Data to unlinked data

[slussinator]

Dear Community,

this is a follow-up question regarding the performance-contingent payout. Thanks to @ctreffe 's help I managed to save how many correct answers each participant saved. Now I need to attach this number to the unlinked data in order to be able to pay out the correct amount. I tried to do this with an extra page (PayoutCalc) at the end, which reads the score for each participant and calculates a payout from this score, which is then added to the additional data.
For some reason calculating the payout does not work. I keep getting this error message:
"TypeError: '<=' not supported between instances of 'NoneType' and 'int'
Not sure why my attention check score is of "NoneType", and don't know how to change it.

Attached find once again a minimal experiment replicating my problem.

Thank you in advance!

import alfred3 as al
exp = al.Experiment()

list_AC = [
    {"name": "AC_1_A", "toplab": "Rekapituliert nach Abschluss eines Aufgabenabschnitts, was gelaufen ist."},
    {"name": "AC_2_A", "toplab": "Macht stets deutlich, was man im Gegenzug für die Erfüllung bestimmter Aufgaben erwarten kann."},
    {"name": "AC_3_F", "toplab": "Schafft es, Probleme als Herausforderungen darzustellen, die gemeinsam überwunden werden können."},
    {"name": "AC_4_F", "toplab": "Bedenkt stets, welche moralischen und ethischen Konsequenzen Entscheidungen haben werden."},
    {"name": "AC_5_A", "toplab": "Organisiert zuverlässig, was getan werden muss, und formuliert klar, wer für welche Aufgabe zuständig ist."},
    {"name": "AC_6_F", "toplab": "Betont immer wieder, dass mit der Arbeit ein wichtiger Beitrag zu einer besseren Lebensqualität von Menschen mit Amputationen geleistet wird."},
    {"name": "AC_7_F", "toplab": "Tauscht sich mit dem Team aus und lässt deren Argumente in den Entscheidungsprozess einfließen"},
    ]

@exp.setup  # Setup dass die Bedingungen generiert
def setup(exp):
    exp.stud_randomizer = al.ListRandomizer(
        # der randomizer lässt ine Listenrandomisierung zu hierbei wird ("Bedingung", Anzahl gewünschter Probenden angegeben)
        ("m_transact1", 2),
        ("m_transform1", 2),
        name="stud_randomizer",
        exp=exp,# hier wird das verwendete Experiment definiert. In diesem Fall eben unser exp
        respect_version=True
    )
    exp.condition = exp.stud_randomizer.get_condition()
    exp.log.info(exp.condition)


class m_AttentionCheck_transact1(al.Page):  # auf dieser Seite wählen die Probanden eine Führungsperson aus
    title = "Aufmerksamkeitsprüfung"

    def on_exp_access(self):
        self += al.Card(
            body="Bitte wählen Sie aus auf welche Führungsperson die folgenden Verhaltensweisen jeweils am ehesten zutreffen")
        for i in list_AC:
            # The following two lines will skip the remaining iterations when the
            # item list runs out of items, giving the code way more flexibility.
            item = i
            self += al.SingleChoiceButtons(
                "Führungsperson Herr A.",
                "Führungsperson Herr F.",
                toplab=item['toplab'],
                name=item['name'],
                width="wide",
                button_width="140px",
                force_input=True,
                font_size="normal",
                position="center"
            )
    def on_close(self):

        attention_score = 0  # First, create a new scoring variable
        if self.exp.values.get(
                "AC_1_A") == 1:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1
        if self.exp.values.get(
                "AC_2_A") == 1:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1
        if self.exp.values.get(
                "AC_3_F") == 2:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1
        if self.exp.values.get(
                "AC_4_F") == 2:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1
        if self.exp.values.get(
                "AC_5_A") == 1:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1
        if self.exp.values.get(
                "AC_6_F") == 2:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1
        if self.exp.values.get(
                "AC_7_F") == 2:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1

        self += al.Value(attention_score, name="attention_score")


class m_AttentionCheck_transform1(al.Page):  # auf dieser Seite wählen die Probanden eine Führungsperson aus
    title = "Aufmerksamkeitsprüfung"

    def on_exp_access(self):
        self += al.Card(
            body="Bitte wählen Sie aus auf welche Führungsperson die folgenden Verhaltensweisen jeweils am ehesten zutreffen")
        for i in list_AC:
            # The following two lines will skip the remaining iterations when the
            # item list runs out of items, giving the code way more flexibility.
            item = i
            self += al.SingleChoiceButtons(
                "Führungsperson Herr F.",
                "Führungsperson Herr A.",
                toplab=item['toplab'],
                name=item['name'],
                width="wide",
                button_width="140px",
                force_input=True,
                font_size="normal",
                position="center"
            )
    def on_close(self):
        attention_score = 0  # First, create a new scoring variable
        if self.exp.values.get(
                "AC_1_A") == 2:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1
        if self.exp.values.get(
                "AC_2_A") == 2:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1
        if self.exp.values.get(
                "AC_3_F") == 1:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1
        if self.exp.values.get(
                "AC_4_F") == 1:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1
        if self.exp.values.get(
                "AC_5_A") == 2:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1
        if self.exp.values.get(
                "AC_6_F") == 1:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1
        if self.exp.values.get(
                "AC_7_F") == 1:  # You need to adjust this to the correct setting in the selected condition
            attention_score += 1

        self += al.Value(attention_score, name="attention_score")


@exp.member
class PreferenceSection(al.Section):  # in dieser Section werden die Seitenfolgen je nach Bedingung generiert
    name = "preference_section"

    def on_exp_access(self):
        self += al.AutoForwardPage(name="pseudo", timeout="0s")

    # def on_enter(self):
        if self.exp.condition == ("m_transact1" or "m_transact2"):
            self += m_AttentionCheck_transact1(name="m_AttentionCheck_transact1")
        elif self.exp.condition == ("m_transform1" or "m_transform2"):
            self += m_AttentionCheck_transform1(name="m_AttentionCheck_transform1")



@exp.member
class PayoutCalc(al.AutoForwardPage):
    name = "payout_calc"
    timeout = "0s"

    def on_first_show(self):
       # adata = self.exp.adata.items()
        attention_score = self.exp.values.get("attention_score")

        # payout
        if attention_score <= 4:
            payout = 1
        elif attention_score <= 6:
            payout = 3
        elif attention_score <= 7:
            payout = 5
        else:
            payout = 0
        self.exp.adata["payout"] = payout



if __name__ == "__main__":
    exp.run()

[ctreffe]

Hey @slussinator,

I might have been wrong about the adequate hooks in my reply to your question #233. It seems to me that your code is correct, but the attention check page's on_close() hook has not been executed. According to the documentation, I think that regular sections do not close their questions on leaving. You should try to replace on_close() with on_first_hide() and see if this already solves the problem.

[slussinator]

This solved it! Thank you :)