Analysis of TCATA Fading data imputation of gaps in temporal profiles

Analysis of TCATA Fading data imputation of gaps in temporal profiles

Temporal Check-All-That-Apply (TCATA) Fading is a variant of TCATA where selected terms gradually and automatically become unselected over a predefined period of time and assessors are asked to re-select the terms if they still apply. Gaps in the temporal profile for a TCATA term may arise if ssessors do not immediately re-select a fully faded term, making it difficult to ascertain whether a term did apply continuously over a broken interval or if it did not apply for a period of time. In this context, the aim of the present work was to evaluate the influence of using data imputation to fill the gaps on results from TCATA fading. Eight studies were conducted with consumers or trained assessors using different product categories. Gaps were identified in all of the studies, lasting 0.1–72.2 s and representing 1–9% of the raw data. Imputation of gaps from an unselected to a selected state occurred in two ways: imputation of 75% of the gaps with the shortest duration, or imputation of all gaps. Compared to the analysis of the raw data, data imputation provided smoother TCATA curves and slightly increased the duration of the significant differences among samples. Furthermore, the results were more coherent from a sensory point of view, as the evolution of the sensory characteristics during the evaluation period fitted expectations. The present work suggests that data imputation should be considered in the analysis of TCATA Fading data, but further research is required to optimise imputation approaches.

Saved in:
Bibliographic Details
Main Authors: Vidal, Leticia, Castura, John C., Coste, Elena Beatriz, Picallo, Alejandra Beatriz, Jaeger, Sara R., Ares, Gastón
Format: Texto biblioteca
Language:eng
Subjects:TEMPORAL METHODS, SENSORY CHARACTERIZATION, CHECK-ALL-THAT-APPLY QUESTIONS, CATA, TCATA, TCATA FADING,
Online Access:http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=45583
http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=
http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=
http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=
Tags: Add Tag
No Tags, Be the first to tag this record!
id KOHA-OAI-AGRO:45583
record_format koha
spelling KOHA-OAI-AGRO:455832021-09-30T18:57:15Zhttp://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=45583http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=AAGAnalysis of TCATA Fading data imputation of gaps in temporal profilesVidal, LeticiaCastura, John C.Coste, Elena BeatrizPicallo, Alejandra BeatrizJaeger, Sara R.Ares, Gastóntextengapplication/pdfTemporal Check-All-That-Apply (TCATA) Fading is a variant of TCATA where selected terms gradually and automatically become unselected over a predefined period of time and assessors are asked to re-select the terms if they still apply. Gaps in the temporal profile for a TCATA term may arise if ssessors do not immediately re-select a fully faded term, making it difficult to ascertain whether a term did apply continuously over a broken interval or if it did not apply for a period of time. In this context, the aim of the present work was to evaluate the influence of using data imputation to fill the gaps on results from TCATA fading. Eight studies were conducted with consumers or trained assessors using different product categories. Gaps were identified in all of the studies, lasting 0.1–72.2 s and representing 1–9% of the raw data. Imputation of gaps from an unselected to a selected state occurred in two ways: imputation of 75% of the gaps with the shortest duration, or imputation of all gaps. Compared to the analysis of the raw data, data imputation provided smoother TCATA curves and slightly increased the duration of the significant differences among samples. Furthermore, the results were more coherent from a sensory point of view, as the evolution of the sensory characteristics during the evaluation period fitted expectations. The present work suggests that data imputation should be considered in the analysis of TCATA Fading data, but further research is required to optimise imputation approaches.Temporal Check-All-That-Apply (TCATA) Fading is a variant of TCATA where selected terms gradually and automatically become unselected over a predefined period of time and assessors are asked to re-select the terms if they still apply. Gaps in the temporal profile for a TCATA term may arise if ssessors do not immediately re-select a fully faded term, making it difficult to ascertain whether a term did apply continuously over a broken interval or if it did not apply for a period of time. In this context, the aim of the present work was to evaluate the influence of using data imputation to fill the gaps on results from TCATA fading. Eight studies were conducted with consumers or trained assessors using different product categories. Gaps were identified in all of the studies, lasting 0.1–72.2 s and representing 1–9% of the raw data. Imputation of gaps from an unselected to a selected state occurred in two ways: imputation of 75% of the gaps with the shortest duration, or imputation of all gaps. Compared to the analysis of the raw data, data imputation provided smoother TCATA curves and slightly increased the duration of the significant differences among samples. Furthermore, the results were more coherent from a sensory point of view, as the evolution of the sensory characteristics during the evaluation period fitted expectations. The present work suggests that data imputation should be considered in the analysis of TCATA Fading data, but further research is required to optimise imputation approaches.TEMPORAL METHODSSENSORY CHARACTERIZATIONCHECK-ALL-THAT-APPLY QUESTIONSCATATCATATCATA FADINGFood quality and preference
institution UBA FA
collection Koha
country Argentina
countrycode AR
component Bibliográfico
access En linea
En linea
databasecode cat-ceiba
tag biblioteca
region America del Sur
libraryname Biblioteca Central FAUBA
language eng
topic TEMPORAL METHODS
SENSORY CHARACTERIZATION
CHECK-ALL-THAT-APPLY QUESTIONS
CATA
TCATA
TCATA FADING
TEMPORAL METHODS
SENSORY CHARACTERIZATION
CHECK-ALL-THAT-APPLY QUESTIONS
CATA
TCATA
TCATA FADING
spellingShingle TEMPORAL METHODS
SENSORY CHARACTERIZATION
CHECK-ALL-THAT-APPLY QUESTIONS
CATA
TCATA
TCATA FADING
TEMPORAL METHODS
SENSORY CHARACTERIZATION
CHECK-ALL-THAT-APPLY QUESTIONS
CATA
TCATA
TCATA FADING
Vidal, Leticia
Castura, John C.
Coste, Elena Beatriz
Picallo, Alejandra Beatriz
Jaeger, Sara R.
Ares, Gastón
Analysis of TCATA Fading data imputation of gaps in temporal profiles
description Temporal Check-All-That-Apply (TCATA) Fading is a variant of TCATA where selected terms gradually and automatically become unselected over a predefined period of time and assessors are asked to re-select the terms if they still apply. Gaps in the temporal profile for a TCATA term may arise if ssessors do not immediately re-select a fully faded term, making it difficult to ascertain whether a term did apply continuously over a broken interval or if it did not apply for a period of time. In this context, the aim of the present work was to evaluate the influence of using data imputation to fill the gaps on results from TCATA fading. Eight studies were conducted with consumers or trained assessors using different product categories. Gaps were identified in all of the studies, lasting 0.1–72.2 s and representing 1–9% of the raw data. Imputation of gaps from an unselected to a selected state occurred in two ways: imputation of 75% of the gaps with the shortest duration, or imputation of all gaps. Compared to the analysis of the raw data, data imputation provided smoother TCATA curves and slightly increased the duration of the significant differences among samples. Furthermore, the results were more coherent from a sensory point of view, as the evolution of the sensory characteristics during the evaluation period fitted expectations. The present work suggests that data imputation should be considered in the analysis of TCATA Fading data, but further research is required to optimise imputation approaches.
format Texto
topic_facet TEMPORAL METHODS
SENSORY CHARACTERIZATION
CHECK-ALL-THAT-APPLY QUESTIONS
CATA
TCATA
TCATA FADING
author Vidal, Leticia
Castura, John C.
Coste, Elena Beatriz
Picallo, Alejandra Beatriz
Jaeger, Sara R.
Ares, Gastón
author_facet Vidal, Leticia
Castura, John C.
Coste, Elena Beatriz
Picallo, Alejandra Beatriz
Jaeger, Sara R.
Ares, Gastón
author_sort Vidal, Leticia
title Analysis of TCATA Fading data imputation of gaps in temporal profiles
title_short Analysis of TCATA Fading data imputation of gaps in temporal profiles
title_full Analysis of TCATA Fading data imputation of gaps in temporal profiles
title_fullStr Analysis of TCATA Fading data imputation of gaps in temporal profiles
title_full_unstemmed Analysis of TCATA Fading data imputation of gaps in temporal profiles
title_sort analysis of tcata fading data imputation of gaps in temporal profiles
url http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=45583
http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=
http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=
http://ceiba.agro.uba.ar/cgi-bin/koha/opac-detail.pl?biblionumber=
work_keys_str_mv AT vidalleticia analysisoftcatafadingdataimputationofgapsintemporalprofiles
AT casturajohnc analysisoftcatafadingdataimputationofgapsintemporalprofiles
AT costeelenabeatriz analysisoftcatafadingdataimputationofgapsintemporalprofiles
AT picalloalejandrabeatriz analysisoftcatafadingdataimputationofgapsintemporalprofiles
AT jaegersarar analysisoftcatafadingdataimputationofgapsintemporalprofiles
AT aresgaston analysisoftcatafadingdataimputationofgapsintemporalprofiles
_version_ 1756046530260762625

Similar Items