1703, 2025

Comparison of Gins Using Temporal Dominance of Sensations (TDS), Temporal Check‐All‐That‐Apply (TCATA), and Temporal Ranking (TR)

John Castura/ March 17, 2025/ Peer-reviewed Paper/ 0 comments

Gin is a distilled spirit characterized by juniper flavor, often accompanied by other botanical flavors. The objective of this research was to use gin as a case study to compare temporal dominance of sensations (TDS), temporal check‐all‐that‐apply (TCATA), and temporal ranking (TR). Trained panelists used each of these methods to evaluate the temporal profile of six gins (standardized to 30%

0210, 2024

Comparison of gins using temporal dominance of sensations (TDS), temporal check-all-that-apply (TCATA), and temporal ranking (TR)

John Castura/ October 2, 2024/ Poster/ 0 comments

Gin is a distilled spirit characterized by juniper flavor, often accompanied by other botanical flavors. The objective of this research was to use gin as a case study for comparing temporal temporal dominance of sensations (TDS), temporal check-all-that-apply (TCATA), and temporal ranking (TR). Trained panelists used each of these methods to evaluate the temporal profile of six gins (standardized to

1505, 2019

Did assessors select attributes by chance alone in your TDS study, and how relevant is it to know?

John Castura/ May 15, 2019/ Peer-reviewed Paper/ 0 comments

Dominance rates arising from Temporal Dominance of Sensations (TDS) data are almost always plotted and understood with reference to chance and significance lines, which are based on the assumption of random attribute selection. These lines are auxiliary to the chart, and used to interpret the dominance rates; when the dominance rate for some attribute exceeds the significance line, the conventional

2008, 2017

Do panelists “monkey-pick” attributes in TDS studies and how relevant is it to know?

Sara King/ August 20, 2017/ Poster/ 0 comments

Dominance rates arising from temporal dominance of sensations (TDS) data are almost always plotted and understood with reference to chance and significance lines. Chance lines are fully determined by the number of attributes, and represent what we might expect if poor reading but task-engaged monkeys picked the attributes. Significance lines are conventionally based on the 95% upper confidence limit for