ArticleThe British journal of mathematical and statistical psychology2019
Using multidimensional item response theory to evaluate how response styles impact measurement.
Article in The British journal of mathematical and statistical psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Accounting for response styles in rating data using IRT and IRTree models: A tutorial in R with applications to self-reported metacognitive competence.Behavior research methods · 2026Article
- Posterior predictive checks for the detection of extreme response style.Behavior research methods · 2025Article
- Psychometric benefits of self-chosen rating scales over given rating scales.Behavior research methods · 2024Article
- Predicting response time on self-report rating scale assessments of noncognitive constructs.Behavior research methods · 2024Article
- The Predictive Validity of Item Effect Variables in theAssessment · 2023Article
- A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data.Psychometrika · 2022Article
- Explaining Variability in Response Style Traits: A Covariate-Adjusted IRTree.Educational and psychological measurement · 2021Article
- A Mixture IRTree Model for Extreme Response Style: Accounting for Response Process Uncertainty.Educational and psychological measurement · 2021Article
- Validity of Three IRT Models for Measuring and Controlling Extreme and Midpoint Response Styles.Frontiers in psychology · 2020Article
- Estimation of Response Styles Using the Multidimensional Nominal Response Model: A Tutorial and Comparison With Sum Scores.Frontiers in psychology · 2020Article
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
Multidimensional item response theory (MIRT) models for response style (e.g., Bolt, Lu, & Kim, 2014, Psychological Methods, 19, 528; Falk & Cai, 2016, Psychological Methods, 21, 328) provide flexibility in accommodating various response styles, but often present difficulty in isolating the effects of response style(s) from the intended substantive trait(s). In the presence of such measurement limitations, we consider several ways in which MIRT models are nevertheless useful in lending insight into how response styles may interfere with measurement for a given test instrument. Such a study can also inform whether alternative design considerations (e.g., anchoring vignettes, self-report items of heterogeneous content) that seek to control for response style effects may be helpful. We illustrate several aspects of an MIRT approach using real and simulated analyses.
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.