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Cultural Consensus Theory (CCT) models allow us to explore shared knowledge or beliefs in a culture. Within this framework, with the Extended Consensus Model (ECM) we can describe individual differences among people in terms of consensus knowledge, willingness to guess, and guessing bias. These cognitive characteristics might have a direct influence on everyday life experiences. To study this, we developed a latent variable model in which process model parameters from intensive longitudinal daily life data and parameters of the ECM can be estimated simultaneously and joined via linear link functions. We apply this model to study whether beliefs on what makes people feel loved are linked to daily life experiences of love.
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