Best practice recommendations for attribute order in Check-All-That-Apply (CATA) and related test methodologies

Sara King/ August 22, 2015/ Poster/ 0 comments

It is well documented that the position of attributes in a Check-All-That-Apply (CATA) question can bias responses. As positional biases cannot be eliminated, they are balanced across products via experimental designs, ensuring each attribute appears with equal frequency in each position for each product. But what is the best way to allocate attribute list orders?

Existing and new approaches for the analysis of CATA data

Sara King/ December 16, 2013/ Peer-reviewed Paper/ 0 comments

Check-all-that-apply (CATA) questionnaires have seen a widespread use recently. In this paper, we briefly review some of the existing approaches to analyze data obtained from such a study. Proposed extensions to these methods include a generalization of Cochran’s Q to test for product differences across all attributes, and a more informative penalty analysis.

A consumer-validated CATA list for whole grain breads

Sara King/ August 11, 2013/ Poster/ 0 comments

Check-all-that-apply (CATA) questions are increasing being used to investigate consumers’ product perceptions. We sought to evaluate a new process for validating CATA terms for consumer relevance prior to testing. The proposed method allows an opportunity for consumer feedback on a proposed CATA list without a more expensive pre-trial questionnaire involving real products.

Experimental consideration for the use of Check-All-That-Apply (CATA) questions to describe the sensory properties of orange juices

Sara King/ July 26, 2009/ Poster/ 0 comments

Check-all-that-apply (CATA) questions have been used in consumer studies to determine key sensory attributes characterizing a specific product. CATA has the particularity of assessing perceived product attributes without requiring scaling. The objective was to determine the effects of the number and order of the choices in CATA questions on attribute selection and consumer response time.

Enriching sensory and consumer datasets with temporal metadata

Sara King/ August 2, 2006/ Oral Presentation/ 0 comments

Descriptive analysis provides valuable information about the sensory properties of consumer products, but this information lacks the temporal dimensionality of real-world sensory experiences. Type II error occurs when the descriptive sensory panel fails to differentiate between products known to be discriminable. Findlay (2000) reported no meaningful reduction in beta risk when descriptive analysis on manipulated salad dressings was augmented by

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Development of a wine style guided by consumer research

Sara King/ July 25, 2004/ Oral Presentation/ 0 comments

In an era of global market competition, wine companies realize the need to understand better consumer preferences and respond to their needs effectively. At the 11th Australian Wine Industry Technical Conference Terry Lee presented a paper (Lesschaeve et al. 2002) on the use of preference mapping to define successfully the sensory preferences of wine consumers. The current study proposes a

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