Conjoint-Measurement Framework for the Study of Probabilistic Information Processing.
作者： Thomas S. Wallsten
DOI: 10.1037/H0032687
关键词:
摘要: The theory of conjoint measurement described by Krantz et al. (1971) is shown to indicate how a descriptive model human processing probabilistic information built around Bayes' rule be tested and it used obtain subjective scale values. Specific relationships concerning these values are emerge, the theoretical prospects resulting from this development discussed.
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