Evidence map›Paper›PMID 21888648›Full record

ArticleBMC medical research methodology2011

Re-evaluating a vision-related quality of life questionnaire with item response theory (IRT) and differential item functioning (DIF) analyses.

Ruth M A van Nispen, Dirk L Knol, Maaike Langelaan, Ger H M B van Rens

Abstract readEvaluation Study
In one paragraph

Article in BMC medical research methodology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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15citing papers in PubMed
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1 · What the graph read from it

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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

Who cites it

15 citing papers in PubMed.

  1. Trial
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  6. Article
  7. The functional burden of diabetic retinopathy in the United States.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021
    Article
  8. Article
  9. Article
  10. Article
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  12. Review
  13. Watchful waiting for subthreshold depression and anxiety in visually impaired older adults.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
    Article
  14. Article
  15. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Ruth M A van NispenDepartment of Ophthalmology, VU University Medical Center, Amsterdam, the Netherlands. r.vannispen@vumc.nl
Dirk L Knol
Maaike Langelaan
Ger H M B van Rens

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor the Low Vision Quality Of Life questionnaire (LVQOL) it is unknown whether the psychometric properties are satisfactory when an item response theory (IRT) perspective is considered. This study evaluates some essential psychometric properties of the LVQOL questionnaire in an IRT model, and investigates differential item functioning (DIF).

methodsCross-sectional data were used from an observational study among visually-impaired patients (n = 296). Calibration was performed for every dimension of the LVQOL in the graded response model. Item goodness-of-fit was assessed with the S-X(2)-test. DIF was assessed on relevant background variables (i.e. age, gender, visual acuity, eye condition, rehabilitation type and administration type) with likelihood-ratio tests for DIF. The magnitude of DIF was interpreted by assessing the largest difference in expected scores between subgroups. Measurement precision was assessed by presenting test information curves; reliability with the index of subject separation.

resultsAll items of the LVQOL dimensions fitted the model. There was significant DIF on several items. For two items the maximum difference between expected scores exceeded one point, and DIF was found on multiple relevant background variables. Item 1 'Vision in general' from the "Adjustment" dimension and item 24 'Using tools' from the "Reading and fine work" dimension were removed. Test information was highest for the "Reading and fine work" dimension. Indices for subject separation ranged from 0.83 to 0.94.

conclusionsThe items of the LVQOL showed satisfactory item fit to the graded response model; however, two items were removed because of DIF. The adapted LVQOL with 21 items is DIF-free and therefore seems highly appropriate for use in heterogeneous populations of visually impaired patients.

Indexed as

Quality of LifeSurveys and QuestionnairesAgedAlgorithmsCalibrationCross-Sectional StudiesFemaleHumansMacular DegenerationMaleModels, StatisticalPsychometricsVision, Low

Identifiers

PMID21888648
PMCPMC3201037

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Registered trials

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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.