Evidence map›Paper›PMID 30484119›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2019

To bin or not to bin? A comparison of symptom frequency response formats in the assessment of health-related quality of life.

Brooke E Magnus, Mackenzie Kirkman, Twinkle Dutta, Manpreet Kaur, Nichole Mannchen

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Brooke E MagnusDepartment of Psychology, Marquette University, P.O. Box 1881, Milwaukee, WI, 53201-1881, USA. brooke.magnus@marquette.edu.
Mackenzie KirkmanDepartment of Psychology, Marquette University, P.O. Box 1881, Milwaukee, WI, 53201-1881, USA.
Twinkle DuttaDepartment of Psychology, Marquette University, P.O. Box 1881, Milwaukee, WI, 53201-1881, USA.
Manpreet KaurDepartment of Psychology, Marquette University, P.O. Box 1881, Milwaukee, WI, 53201-1881, USA.
Nichole MannchenDepartment of Psychology, Marquette University, P.O. Box 1881, Milwaukee, WI, 53201-1881, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe goal of this study is to compare three different types of retrospective frequency response formats on the Healthy Days Symptoms Module (HDSM). Responses are compared in terms of intra-individual consistency, psychometric value, and participant feedback about each type of response format.

methodsRespondents each completed three versions of the HDSM, where items were framed to elicit an open-ended frequency, a fixed choice frequency, or a vague quantifier response. Traditional reliability statistics were used to evaluate intra-individual consistency. Differential item functioning (DIF) was used to test for response format effects, and item response theory (IRT) scale scores and standard errors were computed across the three forms to compare psychometric value. Linear mixed modeling was used to examine the associations of IRT scale scores across response formats with respondent characteristics.

resultsPeople are largely consistent in how they respond to items about their health, regardless of the response format, and no DIF was detected between response formats. The IRT scores computed from the "# of days" frequency response formats tend to have better measurement precision than those from vague quantifiers. Open-ended frequencies capture a greater span of individual differences for people reporting fewer symptoms; however, little measurement precision is lost in collapsing the frequencies into categories.

conclusionsBoth the open-ended and fixed choice frequency response formats offer more measurement precision than vague quantifiers. While the open-ended frequency response format may capture more individual differences, respondents tend to report more difficulty with exact frequency recall, and thus, prefer the fixed choice frequency format.

Indexed as

AdultFemaleHumansMaleMiddle AgedPsychometricsQuality of LifeReproducibility of ResultsSurveys and QuestionnairesYoung AdultCount dataResponse formatSymptom frequencySymptom recall

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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.