Algorithmic Recruitment Acceptance
HR & WorkReliability: alpha 0.893 sample items
About this scale
A multi-item measure of applicant and HR-manager acceptance of algorithmic recruitment tools, including resume screening, video interview analysis, and gamified assessments.
Sample item(s)
“I would feel comfortable being assessed by an AI in a job interview”
“I trust algorithmic tools to make fair hiring decisions”
“I am willing to apply to companies that use AI in their hiring process”
Reliability
Reported internal consistency: alpha 0.89. As a rule of thumb, Cronbach’s α ≥ .70 is considered acceptable, ≥ .80 good, and ≥ .90 excellent for established measures.
Notes
Specifically captures affective reactions, not just cognitive acceptance.
Source & citation
Mirowska, A., & Mesnet, L. (2022): Preferring the devil you know: Potential applicants' affective reactions to artificial intelligence screening of job applications. Human Resource Management Journal, Vol. 32, No. 2, pp. 364–383.
Mirowska & Mesnet (2022): Affective reactions to AI screening. HRMJ, 32(2), 364–383.
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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