Careless responding in internet-based quality of life assessments.
Purpose: Quality of life (QoL) measurement relies upon participants providing meaningful responses, but not all respondents may pay sufficient attention when completing self-reported QoL measures. This study examined the impact of careless responding on the reliability and validity of Internet-based...
| Published in: | Quality of Life Research Vol. 27; no. 4; pp. 1077 - 1089 |
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| Main Authors: | , , |
| Format: | research tables/charts Journal Article |
| Published: |
Springer Nature
Apr2018
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128747081&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128747081 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09629343 GPQ jtl: Quality of Life Research issn: 09629343 maglogo: N pubinfo: dt: Apr2018 vid: 27 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 128747081 128747081 NLM29248996 128747081 10.1007/s11136-017-1767-2 NLM29248996 128747081 ppf: 1077 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Careless responding in internet-based quality of life assessments. aug: au: Schneider, Stefan May, Marcella Stone, Arthur A. affil: University of Southern California, Los Angeles, USA sug: subj: Quality of Life Internet Patient-Reported Outcomes Questionnaires Utilization Funding Source Human Data Analysis Psychometrics Reliability and Validity Surveys Male Adult Middle Age Aged Female Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Purpose: Quality of life (QoL) measurement relies upon participants providing meaningful responses, but not all respondents may pay sufficient attention when completing self-reported QoL measures. This study examined the impact of careless responding on the reliability and validity of Internet-based QoL assessments.Methods: Internet panelists (n = 2000) completed Patient-Reported Outcomes Measurement Information System (PROMIS®) short-forms (depression, fatigue, pain impact, applied cognitive abilities) and single-item QoL measures (global health, pain intensity) as part of a larger survey that included multiple checks of whether participants paid attention to the items. Latent class analysis was used to identify groups of non-careless and careless responders from the attentiveness checks. Analyses compared psychometric properties of the QoL measures (reliability of PROMIS short-forms, correlations among QoL scores, "known-groups" validity) between non-careless and careless responder groups. Whether person-fit statistics derived from PROMIS measures accurately discriminated careless and non-careless responders was also examined.Results: About 7.4% of participants were classified as careless responders. No substantial differences in the reliability of PROMIS measures between non-careless and careless responder groups were observed. However, careless responding meaningfully and significantly affected the correlations among QoL domains, as well as the magnitude of differences in QoL between medical and disability groups (presence or absence of disability, depression diagnosis, chronic pain diagnosis). Person-fit statistics significantly and moderately distinguished between non-careless and careless responders.Conclusions: The results support the importance of identifying and screening out careless responders to ensure high-quality self-report data in Internet-based QoL research. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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