• 1 Demo Video
  • 2 Print Version
  • 3 Data
    • 3.1 Data set information
  • 4 Analysis Script


1 Demo Video


3 Data

3.1 Data set information

  • sID: subject ID
  • Q_order: Counterbalancing factor: whether subjects first rated the common cause or the single-effect cause
  • Target_effect: Counterbalancing factor: whether the target effect was the first, second, or third
  • multiple: DV (subjects’ ratings for the 3-effects common cause)
  • single: DV (subjects’ ratings for the 1-effect cause)
  • Desktop_Confirmation: Check query (subjects had to indicate that they work on a Desktop PC [1])
  • Attention_Confirmation: Chech query (subjectes had to indicate that they will pay attention [1])
  • Justification: Subjects’ explanations for their ratings
  • Age: Subjects’ age in years
  • Sex: Subjects’ sex (1 = male, 2 = female, 3 = non-binary)
  • Technical_issues: Open query (subjects could report any experienced technical issues)
  • Duration (sek): The time subjects needed to complete the study (in seconds)

2022 Simon Stephan.