ReviewPsychometrika2021
Matching IRT Models to Patient-Reported Outcomes Constructs: The Graded Response and Log-Logistic Models for Scaling Depression.
Review in Psychometrika, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Health equity through health literacy: validating HLSBMC public health · 2026Article
- Longitudinal bidirectional associations among sarcopenia risk, social isolation, and frailty in Chinese older adults using an item response theory-derived frailty index.Frontiers in public health · 2026Observational
- Article
- EQ-5D-5L and SF-6Dv2 health utilities scores of diffuse large B-cell lymphoma patients in China.Health and quality of life outcomes · 2024Article
- Unipolar IRT and the Author Recognition Test (ART).Behavior research methods · 2024Article
- Item Response Modeling of Clinical Instruments With Filter Questions: Disentangling Symptom Presence and Severity.Applied psychological measurement · 2024Article
- Parsimonious item response theory modeling with the negative log-log link: The role of inflection point shift.Behavior research methods · 2024Article
- Measuring Unipolar Traits With Continuous Response Items: Some Methodological and Substantive Developments.Educational and psychological measurement · 2024Article
- Psychometric evidence of the Acceptance and Action Questionnaire-II (AAQ-II): an item response theory analysis in university students from Chile.BMC psychology · 2024Article
- Hungarian PROMIS-29+2: psychometric properties and population reference values.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023Article
- On the Choice of the Item Response Model for Scaling PISA Data: Model Selection Based on Information Criteria and Quantifying Model Uncertainty.Entropy (Basel, Switzerland) · 2022Article
- Guest Editors' Introduction to the Invited Special Section.Psychometrika · 2021Article
- Measurement properties of the Spanish version of the brief resilient coping scale (BRCS) in cancer patients.International journal of clinical and health psychology : IJCHPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Item response theory (IRT) model applications extend well beyond cognitive ability testing, and various patient-reported outcomes (PRO) measures are among the more prominent examples. PRO (and like) constructs differ from cognitive ability constructs in many ways, and these differences have model fitting implications. With a few notable exceptions, however, most IRT applications to PRO constructs rely on traditional IRT models, such as the graded response model. We review some notable differences between cognitive and PRO constructs and how these differences can present challenges for traditional IRT model applications. We then apply two models (the traditional graded response model and an alternative log-logistic model) to depression measure data drawn from the Patient-Reported Outcomes Measurement Information System project. We do not claim that one model is "a better fit" or more "valid" than the other; rather, we show that the log-logistic model may be more consistent with the construct of depression as a unipolar phenomenon. Clearly, the graded response and log-logistic models can lead to different conclusions about the psychometrics of an instrument and the scaling of individual differences. We underscore, too, that, in general, explorations of which model may be more appropriate cannot be decided only by fit index comparisons; these decisions may require the integration of psychometrics with theory and research findings on the construct of interest.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.