Suchergebnisse

Conway, Conway, Gornick, and Houck (2014) report a major effort to automate integrative complexity coding. Judging this effort requires researchers to be more explicit in articulating key methodological assumptions about the coding process and theoretical assumptions about the construct. Unresolved issues include: (1) when, and on what basis, we should attribute divergences between human coders and algorithms to overestimations or underestimations by one or the other approach; and (2) to what extent second‐generation algorithms can yield Pareto improvements that reduce errors of both underestimation and overestimation. Further progress in developing natural language processing measures of this cognitive style will require sharper definitions of target constructs: in particular, different types of differentiation (dialectical and elaborative) and integration (hierarchical and flexible) and clearer guidelines for factoring context into assessments.

Abstract
We demonstrate that natural products are more strongly preferred when used to prevent a problem than when used to cure a problem (the prevent/cure effect). This organizing principle explains variation in the preference for natural across distinct product categories (e.g., food vs. medicine), within product categories (e.g., between different types of medicines), and for the same product depending on how it is used (to prevent or to cure ailments). The prevent/cure effect is driven by two factors: lay beliefs about product attributes and importance of product attributes. Specifically, (a) consumers hold lay beliefs that natural products are safer and less potent and (b) consumers care more about safety and less about potency when preventing as compared to when curing, which leads to a stronger preference for natural when preventing. Consistent with this explanation, when natural products are described as more risky and more potent, reversing the standard inferences about naturalness, then natural products become more preferred for curing than for preventing. This research sheds light on when the marketing of "natural" is most appealing to consumers.