Evidence map›Paper›PMID 29248996›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2018

Careless responding in internet-based quality of life assessments.

Stefan Schneider, Marcella May, Arthur A Stone

Abstract read
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Using Item Response Times in Online Questionnaires to Detect Mild Cognitive Impairment.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
    Article
  14. Evaluation of Pressing Issues in Ecological Momentary Assessment.Annual review of clinical psychology · 2023
    Review
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  17. Item selection, scaling and construct validation of the Patient-Reported Inventory of Self-Management of Chronic Conditions (PRISM-CC) measurement tool in adults.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Stefan SchneiderUniversity of Southern California, Los Angeles, USA. schneids@usc.edu.ORCID 0000-0002-4562-0524
Marcella MayUniversity of Southern California, Los Angeles, USA.
Arthur A StoneUniversity of Southern California, Los Angeles, USA.

Funding

Frame of Reference Effects in Health Disparities ResearchR01AG042407 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI STONE, ARTHUR A · 2014 to 2018
$3.4M
NIA NIH HHS R01 AG042407
6 · The paper itself

Abstract

purposeQuality 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.

methodsInternet 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.

resultsAbout 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.

conclusionsThe results support the importance of identifying and screening out careless responders to ensure high-quality self-report data in Internet-based QoL research.

Indexed as

Patient Reported Outcome MeasuresSelf ReportAdultAgedFemaleHumansInternetMaleMiddle AgedPsychometricsQuality of LifeReproducibility of ResultsSurveys and QuestionnairesYoung AdultCareless respondingInattentive respondingPatient-reported outcomesPerson-fit statisticsQuality of life

Identifiers

PMID29248996
PMCPMC8344104

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.