1 Stimuli

2 Demo Video

  • [Download video]((MainExperiments/Exp1b/Demo_Abstract_CC_vs_SE.zip) [ZIP-Folder containing video in MP4-Format]

4 Data

4.1 Pilot Study

4.1.1 Data set information

The data set contains the following columns:

  • sID: subject ID
  • Side: Counterbalancing factor (whether the multiple-effects cause was displayed on the left or right side)
  • Q_order: Counterbalancing factor (whether subjects first gave a strength rating for the multiple or the single-effect cause)
  • Target_effect: Counterbalacning factor (whether the target effect was E1, E2, or E3)
  • multiple: DV (subjects’ ratings for the multiple-effects cause)
  • single: DV (subjects’ ratings for the single-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: Open query (subjects were asked to write short explanations for their strength 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)

4.2 Main Study

4.2.1 Data set information

The data set contains the following columns:

  • sID: subject ID
  • Side: Counterbalancing factor (whether the multiple-effects cause was displayed on the left or right side)
  • Q_order: Counterbalancing factor (whether subjects first gave a strength rating for the multiple or the single-effect cause)
  • Target_effect: Counterbalacning factor (whether the target effect was E1, E2, or E3)
  • multiple: DV (subjects’ ratings for the multiple-effects cause)
  • single: DV (subjects’ ratings for the single-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: Open query (subjects were asked to write short explanations for their strength 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)

4.3 Subjects verbal explanations

Subjects’ causal strength rating explanations in the pilot and main study.

2022 Simon Stephan.