In sensory evaluation, it may be necessary to design experiments that yield incomplete data sets. As such, sensory scientists will need to utilize statistical methods capable of handling data sets with missing values. This article demonstrates the advantages of a model-based imputation procedure that simultaneously accounts for heterogeneity while imputing.
Temporal Check-All-That-Apply (TCATA) is a new dynamic sensory method for which analysis techniques are still being developed and optimized. In this study, TCATA methodology was applied for the evaluation of wine finish by trained panelists (n = 13) on Syrah wines with different ethanol concentrations (10.5% v/v and 15.5% v/v). Raw data were time standardized to create a percentage of
The objective of this study was to determine if data capture device type had a significant influence on sensory descriptive analysis results. 12 trained assessors evaluated 4 snack bar products in triplicate on each of three devices (iPod, iPad, external monitor). Four-way univariate analysis of variance detected no significant product by device interaction in 19 of 20 attributes. Products were
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.
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.
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).
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
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
The evolution of sensory characteristics during the application of cosmetic creams has been long recognized as important. However, standard methodologies do not evaluate how sensory characteristics of products change during application, and do not determine the onset of specific sensations. In this manuscript, a new temporal methodology, Temporal Check-All-That-Apply (TCATA), is used to enable characterization of the dynamic sensory properties
Temporal Check-All-That-Apply (TCATA) has been recently introduced as a method for temporal sensory product characterization. Building on the standard Check-All-That-Apply (CATA) question format, assessors select all the terms they consider applicable for describing the sensations they perceive, and they do so at each moment of the evaluation process.