Cultural consensus theory: aggregating continuous responses in a finite interval

摘要: Cultural consensus theory (CCT) consists of cognitive models for aggregating responses “informants” to test items about some domain their shared cultural knowledge. This paper develops a CCT model requiring bounded numerical responses, e.g. probability estimates, confidence judgments, or similarity judgments. The assumes that each item generates latent random representation in informant, with mean equal the answer and variance depending jointly on informant location answer. manifest may reflect biases informants. Markov Chain Monte Carlo (MCMC) methods were used estimate model, simulation studies validated approach. was applied an existing cross-cultural dataset involving native Japanese English speakers judging emotion terms. results sharpened earlier showed both cultures appear have very similar representations