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Comparing internet and face-to-face surveys as methods for eliciting preferences for social care-related quality of life: evidence from England using the ASCOT service user measure.

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Title: Comparing internet and face-to-face surveys as methods for eliciting preferences for social care-related quality of life: evidence from England using the ASCOT service user measure.
Authors: Saloniki, Eirini-Christina (AUTHOR), Malley, Juliette (AUTHOR), Burge, Peter (AUTHOR), Lu, Hui (AUTHOR), Batchelder, Laurie (AUTHOR), Linnosmaa, Ismo (AUTHOR), Trukeschitz, Birgit (AUTHOR), Forder, Julien (AUTHOR)
Source: Quality of Life Research. Aug2019, Vol. 28 Issue 8, p2207-2220. 14p. 1 Diagram, 4 Charts.
Subjects: Internet surveys, Quality of life, Consumer preferences, Acquisition of data, Evidence
Geographic Terms: England
Abstract: Purpose: Traditionally, researchers have relied on eliciting preferences through face-to-face interviews. Recently, there has been a shift towards using internet-based methods. Different methods of data collection may be a source of variation in the results. In this study, we compare the preferences for the Adult Social Care Outcomes Toolkit (ASCOT) service user measure elicited using best-worst scaling (BWS) via a face-to-face interview and an online survey.Methods: Data were collected from a representative sample of the general population in England. The respondents (face-to-face: n = 500; online: n = 1001) completed a survey, which included the BWS experiment involving the ASCOT measure. Each respondent received eight best-worst scenarios and made four choices (best, second best, worst, second worst) in each scenario. Multinomial logit regressions were undertaken to analyse the data taking into account differences in the characteristics of the two samples and the repeated nature of the data.Results: We initially found a number of small significant differences in preferences between the two methods across all ASCOT domains. These differences were substantially reduced-from 15 to 5 out of 30 coefficients being different at the 5% level-and remained small in value after controlling for differences in observable and unobservable characteristics of the two samples.Conclusions: This comparison demonstrates that face-to-face and internet surveys may lead to fairly similar preferences for social care-related quality of life when differences in sample characteristics are controlled for. With or without a constant sampling frame, studies should carefully design the BWS exercise and provide similar levels of clarification to participants in each survey to minimise the amount of error variance in the choice process. [ABSTRACT FROM AUTHOR]
Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Comparing internet and face-to-face surveys as methods for eliciting preferences for social care-related quality of life: evidence from England using the ASCOT service user measure.
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  Data: <searchLink fieldCode="AR" term="%22Saloniki%2C+Eirini-Christina%22">Saloniki, Eirini-Christina</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Malley%2C+Juliette%22">Malley, Juliette</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burge%2C+Peter%22">Burge, Peter</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Hui%22">Lu, Hui</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Batchelder%2C+Laurie%22">Batchelder, Laurie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Linnosmaa%2C+Ismo%22">Linnosmaa, Ismo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Trukeschitz%2C+Birgit%22">Trukeschitz, Birgit</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Forder%2C+Julien%22">Forder, Julien</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Quality+of+Life+Research%22">Quality of Life Research</searchLink>. Aug2019, Vol. 28 Issue 8, p2207-2220. 14p. 1 Diagram, 4 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Internet+surveys%22">Internet surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+life%22">Quality of life</searchLink><br /><searchLink fieldCode="DE" term="%22Consumer+preferences%22">Consumer preferences</searchLink><br /><searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Evidence%22">Evidence</searchLink>
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  Data: <bold>Purpose: </bold>Traditionally, researchers have relied on eliciting preferences through face-to-face interviews. Recently, there has been a shift towards using internet-based methods. Different methods of data collection may be a source of variation in the results. In this study, we compare the preferences for the Adult Social Care Outcomes Toolkit (ASCOT) service user measure elicited using best-worst scaling (BWS) via a face-to-face interview and an online survey.<bold>Methods: </bold>Data were collected from a representative sample of the general population in England. The respondents (face-to-face: n = 500; online: n = 1001) completed a survey, which included the BWS experiment involving the ASCOT measure. Each respondent received eight best-worst scenarios and made four choices (best, second best, worst, second worst) in each scenario. Multinomial logit regressions were undertaken to analyse the data taking into account differences in the characteristics of the two samples and the repeated nature of the data.<bold>Results: </bold>We initially found a number of small significant differences in preferences between the two methods across all ASCOT domains. These differences were substantially reduced-from 15 to 5 out of 30 coefficients being different at the 5% level-and remained small in value after controlling for differences in observable and unobservable characteristics of the two samples.<bold>Conclusions: </bold>This comparison demonstrates that face-to-face and internet surveys may lead to fairly similar preferences for social care-related quality of life when differences in sample characteristics are controlled for. With or without a constant sampling frame, studies should carefully design the BWS exercise and provide similar levels of clarification to participants in each survey to minimise the amount of error variance in the choice process. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Quality of Life Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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