Evaluating cereal snack bars using dual-attribute time intensity and temporal dominance of sensations as complementary temporal sensory methods
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1505, 2016
1505, 2016
A crossover coefficient for quantifying disagreement in product ranks between individual panelists and the panel
To quantify rank order differences between panelist j and a sensory panel, we propose a univariate crossover coefficient (XCj) which takes values between 0 and 100. Higher values indicate greater crossover.
0104, 2016
Statistical evaluation of panel repeatability in Check-All-That-Apply questions
Methodologies for evaluating panel repeatability in Check-All-That-Apply (CATA) questions are reviewed and developed. First, the limitations with using McNemar’s test as suggested elsewhere for the evaluation of repeatability are demonstrated through simple examples. Alternative approaches are then suggested and discussed.
2303, 2016
Using partial bootstrap to evaluate the uncertainty associated with TCATA product trajectories
Temporal Check-All-That-Apply (TCATA; Castura et al., 2016) is a temporal sensory method in which assessors track changes in the applicability of sensory attributes to describe a sample during an evaluation. Data provide information on the complex dynamic profile of products. TCATA curves can be used to show attribute citation proportions over time, or differences in citation proportions between pairs of
2203, 2016
tempR: Temporal sensory data analysis
This forthcoming package includes several functions for analyzing data arising temporal sensory methods. Functions are currently provided for analyzing Temporal Check-All-That-Apply (TCATA) and Temporal Dominance of Sensations (TDS) data.
0103, 2016
Randomization of CATA attributes: Should attribute lists be allocated to assessors or to samples?
For the check-all-that-apply (CATA) question format, it is good practice to vary the attribute list order between evaluations to account for possible (and likely) position bias in the data. If attribute lists are to be randomized, the question is how to allocate these attribute lists orders.
2302, 2016
Recent advances in sensory science
During the last decade there have been a number of areas in Sensory Science that have benefited from research into new methods, statistics, physiology and genetics. This has resulted in significant research activities and eventual commercialization of these advances.
2301, 2016
Using TDS dyads and other dominance sequences to characterize products and investigate liking changes
Temporal Dominance of Sensations (TDS) involves selection and continuous update of a dominant attribute, and provides sequence data to characterize products. As a novel development in this manuscript, TDS data are represented in dominance sequences (TDS monads, TDS dyads, TDS triads, and TDS tetrads).
2201, 2016
Number of terms to use in temporal check-all-that-apply studies (TCATA and TCATA Fading) for sensory product characterization by consumers
Temporal Check-All-That-Apply (TCATA) is introduced as a new dynamic method for describing multidimensional sensory properties of products as they evolve over time. TCATA extends the Check-All-That-Apply (CATA) method. Selection and deselection of attributes are tracked continuously over time, permitting assessors to characterize the evolution of sensory changes in products. TCATA is presented using results from trained panel evaluations of yogurt
1701, 2016
Temporal Check-All-That-Apply (TCATA): A novel dynamic method for characterizing products
Temporal Check-All-That-Apply (TCATA) is introduced as a new dynamic method for describing multidimensional sensory properties of products as they evolve over time. TCATA extends the Check-All-That-Apply (CATA) method. Selection and deselection of attributes are tracked continuously over time, permitting assessors to characterize the evolution of sensory changes in products. TCATA is presented using results from trained panel evaluations of yogurt