Hallo,
Ich bin ziemliche Anfängerin bei Limesurvey und konnte nach langem Suchen und Ausprobieren keine Antwort auf mein Problem finden. Die Version ist Version 3.24.6+201109
Ich möchte gerne die Optionen einer Matrixfrage, die von Teilnehmenden hoch bewertet wurden, in einem späteren Text auflisten lassen. Also die Teilnehmenden sollen bei der Matrix angeben wie wichtig ihnen verschiedene Werte sind und zu einem späteren Zeitpunkt soll im Text einer Frage alle Werte, die zuvor als "sehr wichtig" bewertet wurden, aufgelistet werden.
Dafür scheint die listifop Funktion geeignet, die ich hier gefunden habe (
ExpressionScript examples – LimeSurvey Manual
).
Wenn ich sie entsprechend dem Beispiel eingebe
{listifop( 'value', '==', 'A5', 'question', ',', that.WerteWichtigkeit.sgqa)}
, funktioniert es nicht. Beim Ausprobieren wird mir an dieser Stelle dann nur eine leere Stelle angezeigt. Ich habe auch ausprobiert statt 'A5' '5' oder 'Sehr wichtig' in der Funktion einzusetzen.
Die gleiche Funktion funktioniert aber einwandfrei, wenn ich das Fragenformat der Matrix in eine Matrix mit vorgegebener 5-Punkte Auswahl ändere. Dabei kann ich aber ja die Antwortenoptionen nicht benennen.
Meine Vermutung ist, dass bei der normalen Matrix die Antwortoptionen kein Value haben, da mir in der Fragenlogik folgendes angezeigt wird:
[img]data:image/png;base64,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[/img]
Nach meiner Überlegung gäbe es folgende Lösungsansätze:
1. Ich müsste den Antwortoptionen der Matrix ein value zuweisen. Ich konnte aber nicht finden, ob oder wie das geht.
2. Ich müsste in der Funktion auf etwas anderes als value prüfen lassen. Im Expression Manager steht an der Stelle cmpProp, leider verstehe ich das nicht und konnte nicht herausfinden was man anstelle von value nutzen könnte.
Stimmen meine Überlegungen? Kann mir jemand helfen?
Schon mal vielen Dank!
Topic Author
