This scale measures the degree to which a person believes that members of a group are similar in their characteristics and capabilities. The items are flexible enough for application to human or non-human "members," such as animals, technical systems, and devices. Longoni, Cian, and Kyung (2023) used it in Study 2 with participants who read a news article about an algorithm or a person that had failed in some way; the source of the scale was not stated and is assumed to have been created by the authors.
7-point Likert (1=Disagree strongly, 7=Agree strongly)
Full scale items shown. Always cite the original source when using this scale in research.
Alpha was .95 (Longoni, Cian, and Kyung 2023, p. 176); validity was not discussed. Items follow the stem "To what extent do you believe that:"; a name for the focal members of the group should be placed in the blanks. As used by Longoni, Cian, and Kyung (2023), participants read about people or algorithms.
Longoni, Chiara, Luca Cian, and Ellie J. Kyung (2023), "Algorithmic Transference: People Overgeneralize Failures of AI in the Government," Journal of Marketing Research, 60 (1), 170-188.
Free access to 2437+ psychometric scales at PsychScales