AI-Augmented Decision Quality
HR & WorkReliability: alpha 0.884 sample items
About this scale
A multi-item measure of perceived quality of decisions made with AI assistance — accuracy, speed, justifiability, and confidence.
Sample item(s)
“AI helps me make more accurate decisions”
“I make decisions faster with AI assistance”
“I can justify AI-augmented decisions to others”
“I am more confident in AI-augmented decisions”
Reliability
Reported internal consistency: alpha 0.88. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Pair with AI trust calibration.
Source & citation
Lebovitz, S., Lifshitz-Assaf, H., & Levina, N. (2022): To engage or not to engage with AI for critical judgments: How professionals deal with opacity when using AI for medical diagnosis. Organization Science, Vol. 33, No. 1, pp. 126–148.
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.
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