Algorithmic Aversion Scale
Decision MakingReliability: alpha = 0.843 sample items
About this scale
A 6-item measure of the tendency to prefer human judgment over equivalent or superior algorithmic recommendations, particularly after observing algorithmic errors.
Sample item(s)
“I would rather have a human expert make this decision than an algorithm.”
“I lose trust in an algorithm faster than I lose trust in a person.”
“Algorithms cannot account for the nuances of my situation.”
Reliability
Reported internal consistency: alpha = 0.84. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Items adapted from the original 5-study program; widely used in algorithmic management research.
Source & citation
Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015). Algorithm aversion: People erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, 144(1), 114-126.
Dietvorst, Simmons, & Massey (2015): Algorithm aversion. JEP:G 144(1), 114-126.
Source. Scale details are summarised from the publication cited above. Always consult the original source for the full item set, scoring, and permission to use.
Use it in your research
Need to check the reliability or psychometrics of this scale in your own data? Use the free DrAIStudio research tools: