Iterative techniques for unbiased rating scales |
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Authors: | Irwin Pollack |
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Affiliation: | a Applied Psychology Research Unit, Cambridgeb Mental Health Research Institute, University of Michigan, |
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Abstract: | Three iterative techniques for neutralizing the effects of stimulus bias in category rating experiments were examined with a wide variety of stimulus variables. Under all conditions examined, the iterative techniques quickly led to a stable category estimation. This result was obtained for stimulus variables with strong measurement properties, e.g. length and weight; for stimulus variables with only ordinal properties, e.g. emery papers; and for stimulus variables with only nominal properties, where an ordered set is obtained only in the course of the category scaling, e.g. female profiles. |
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