Factors affecting data quality of online questionnaires with consumers in sensory and consumer research: Metrics from the literature and empirical insights

Sara R. Jaeger; Morten A. Rasmussen; Armand V.  Cardello

doi:10.1016/j.sctalk.2024.100307

Factors affecting data quality of online questionnaires with consumers in sensory and consumer research: Metrics from the literature and empirical insights

Sara R. Jaeger, Morten A. Rasmussen, Armand V. Cardello

Institut for Fødevarer - Fødevarekvalitet, Perception & Samfund

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

Abstract

Sensory and consumer research now frequently takes place online. This comes with advantages, but also the potential for poor quality data. This presentation1 raises awareness of the factors that influence online data quality by 1) identifying factors that can impact the reliability and validity of consumer data obtained with online questionnaires, 2) highlighting indices of online questionnaire data quality that can be used to assess the likelihood of reduced quality, and 3) recommending good practices for assessing online questionnaire data quality. By raising awareness of sources of invalidity in online survey research and by presenting available remedies and good practices, we hope that colleagues will begin to adopt relevant measures. Specific suggestions are offered regarding the important elements of data quality to include in scientific manuscripts. To augment, findings from an empirical examination of data quality in an online survey (1846 UK participants) are presented. Key insights were 1) proportion of survey participants that provided data of reduced quality, 2) different types of data quality indices provide different perspectives on reduced data quality, 3) time to complete survey tasks is related to data quality, 4) some participant characteristics could be more strongly associated with reduced data quality.

Originalsprog	Engelsk
Tidsskrift	Science Talks
Vol/bind	9
Antal sider	6
ISSN	2772-5693
DOI	https://doi.org/10.1016/j.sctalk.2024.100307
Status	Udgivet - mar. 2024

Adgang til dokumentet

10.1016/j.sctalk.2024.100307Licens: CC BY

Citationsformater

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title = "Factors affecting data quality of online questionnaires with consumers in sensory and consumer research: Metrics from the literature and empirical insights",

abstract = "Sensory and consumer research now frequently takes place online. This comes with advantages, but also the potential for poor quality data. This presentation1 raises awareness of the factors that influence online data quality by 1) identifying factors that can impact the reliability and validity of consumer data obtained with online questionnaires, 2) highlighting indices of online questionnaire data quality that can be used to assess the likelihood of reduced quality, and 3) recommending good practices for assessing online questionnaire data quality. By raising awareness of sources of invalidity in online survey research and by presenting available remedies and good practices, we hope that colleagues will begin to adopt relevant measures. Specific suggestions are offered regarding the important elements of data quality to include in scientific manuscripts. To augment, findings from an empirical examination of data quality in an online survey (1846 UK participants) are presented. Key insights were 1) proportion of survey participants that provided data of reduced quality, 2) different types of data quality indices provide different perspectives on reduced data quality, 3) time to complete survey tasks is related to data quality, 4) some participant characteristics could be more strongly associated with reduced data quality.",

author = "Jaeger, {Sara R.} and {A. Rasmussen}, Morten and Cardello, {Armand V.}",

year = "2024",

month = mar,

doi = "10.1016/j.sctalk.2024.100307",

language = "English",

volume = "9",

journal = "Science Talks",

issn = "2772-5693",

publisher = "Elsevier B.V.",

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Factors affecting data quality of online questionnaires with consumers in sensory and consumer research: Metrics from the literature and empirical insights. / Jaeger, Sara R.; A. Rasmussen, Morten; Cardello, Armand V. .
I: Science Talks, Bind 9, 03.2024.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

TY - JOUR

T1 - Factors affecting data quality of online questionnaires with consumers in sensory and consumer research

T2 - Metrics from the literature and empirical insights

AU - Jaeger, Sara R.

AU - A. Rasmussen, Morten

AU - Cardello, Armand V.

PY - 2024/3

Y1 - 2024/3

N2 - Sensory and consumer research now frequently takes place online. This comes with advantages, but also the potential for poor quality data. This presentation1 raises awareness of the factors that influence online data quality by 1) identifying factors that can impact the reliability and validity of consumer data obtained with online questionnaires, 2) highlighting indices of online questionnaire data quality that can be used to assess the likelihood of reduced quality, and 3) recommending good practices for assessing online questionnaire data quality. By raising awareness of sources of invalidity in online survey research and by presenting available remedies and good practices, we hope that colleagues will begin to adopt relevant measures. Specific suggestions are offered regarding the important elements of data quality to include in scientific manuscripts. To augment, findings from an empirical examination of data quality in an online survey (1846 UK participants) are presented. Key insights were 1) proportion of survey participants that provided data of reduced quality, 2) different types of data quality indices provide different perspectives on reduced data quality, 3) time to complete survey tasks is related to data quality, 4) some participant characteristics could be more strongly associated with reduced data quality.

AB - Sensory and consumer research now frequently takes place online. This comes with advantages, but also the potential for poor quality data. This presentation1 raises awareness of the factors that influence online data quality by 1) identifying factors that can impact the reliability and validity of consumer data obtained with online questionnaires, 2) highlighting indices of online questionnaire data quality that can be used to assess the likelihood of reduced quality, and 3) recommending good practices for assessing online questionnaire data quality. By raising awareness of sources of invalidity in online survey research and by presenting available remedies and good practices, we hope that colleagues will begin to adopt relevant measures. Specific suggestions are offered regarding the important elements of data quality to include in scientific manuscripts. To augment, findings from an empirical examination of data quality in an online survey (1846 UK participants) are presented. Key insights were 1) proportion of survey participants that provided data of reduced quality, 2) different types of data quality indices provide different perspectives on reduced data quality, 3) time to complete survey tasks is related to data quality, 4) some participant characteristics could be more strongly associated with reduced data quality.

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DO - 10.1016/j.sctalk.2024.100307

M3 - Journal article

SN - 2772-5693

VL - 9

JO - Science Talks

JF - Science Talks

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