Consensus Analysis for Populations With Latent Subgroups: Applying Multicultural Consensus Theory and Model-Based Clustering With CCTpack

Abstract

Advanced consensus analyses are made available with the cultural consensus theory (CCT) framework, which is a model-based methodology used to closely derive the consensus knowledge of a group or population (e.g., a culture). The relevant data are their questionnaire responses about a subject domain. CCT has been established as a main methodology for ethnographic studies in social and cultural anthropology, and it has also been incorporated into other areas of the social and behavioral sciences as an effective information-pooling methodology. Recently, there are major advances in CCT, including (a) the multicultural extension, which can detect latent subgroups of a population, each with their own consensus answers to the questionnaire items; (b) the development of new models for several questionnaire designs, true/false, ordered category (Likert) scales, and

Sty in the Mind’s Eye: A Meta-Analytic Investigation of the Nomological Network and Internal Consistency of the “Reading the Mind in the Eyes” Test

“…Finally, consensus scoring is biased by the abilities and individual biases of the persons on which the consensus score is based, a bias which is then transferred to the participant's score (Barchard & Russell, 2006). There are some tools for adjusting the consensus score to account for these biases (e.g., cultural consensus theory; Anders et al, 2018); however, those tools can only be applied if the original ratings from the judges are known.…”

Four-Branch Model of Ability Emotional Intelligence With Fluid and Crystallized Intelligence: A Meta-Analysis of Relations

“…Instead, as an alternative direction, researchers could directly test the emotion knowledge presumably underlying the skills described in the four-branch model (Orchard et al, 2009), for example, through a Gc test based on empirical literature on emotions. This would involve removing the situational aspect of many ability EI tests, and avoid the necessity of consensus scores that limit tests to only easy items and include the risk of different veridical responses per culture (Zeidner, Roberts, & Matthews, 2004; although see recent advances in consensus scoring by Anders, Alario, & Batchelder, 2017).…”

Cultural Models of Substance Use Risk and Attributed Stigma: A Comparison of Young Adults in Brazil and the United States

“… 4. Recently, several new models for cultural consensus analysis have appeared with the aim of identifying “multiple cultural answer keys” in a given set of data (Anders et al, 2018; Lacy et al, 2018). We have relied on the model of residual agreement analysis (Dressler et al, 2015) for this task primarily because it employs the classic cultural consensus model, which has been used extensively in research; hence, how it performs is well understood.…”