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In three studies including 335 consumers and using fresh fruit as samples, evidence of attribute order bias was established.
There was no significant effect on hedonic scores of the tested products linked to the attribute order within the sensory CATA question.
This paper looks at these issues and also introduces a distinction between random and systematic ANA, which is defined to be ANA that is persistent in the face of choice task and/or attribute order randomization.
We observed that the actual attribute order had just a modest influence on the results (see Supplementary Table S1).
Without loss of generality, the attribute order is assumed to be { X1,⋯, X4} by comparing mutual information.
Furthermore, FKBN can fully extract the causal relationship between attributes by applying a dynamic searching strategy in the early building stage to identify the optimal attribute order.
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By analyzing the coordination-state space of small family IA and VIIA ions in simulated fluid media, we derive domains of coordinated states that confer selectivity for a given ion upon isolating and constraining particular attributes (order parameters) of a complex comprised of a given type of ligand.
Attributes ordered in this way are called gain-type.
Other authors recommend a "to assessors" allocation, randomizing the attribute list order for each assessor, such that the list order is stable across samples for each assessor (if replication is used, assessors are given a new attribute list order per replication).
For example, when aiming to create a dataset with a high third-order interaction and no lower-level effects, we took datasets that were non-dominated in one of more of the following regards: smallest first-order attribute, smallest second-order attribute, and largest third-order attribute.
Results suggest higher operational power when using the "to assessor" CATA attribute list order.
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CEO of Professional Science Editing for Scientists @ prosciediting.com