ArticlePsychometrika2015
Heteroscedastic Latent Trait Models for Dichotomous Data.
Article in Psychometrika, 2015. 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.
- Joint modeling with generalized item response theory model family and response time model: Enhancing model structural flexibility and data-fitting adequacy.Behavior research methods · 2025Article
- A Multigroup Structural Equation Modeling Approach for Analyzing Differences Among Sexually Diverse Youth.Journal of homosexuality · 2025Article
- Unipolar IRT and the Author Recognition Test (ART).Behavior research methods · 2024Article
- Parsimonious item response theory modeling with the negative log-log link: The role of inflection point shift.Behavior research methods · 2024Article
- Parsimonious asymmetric item response theory modeling with the complementary log-log link.Behavior research methods · 2023Article
- Item Complexity: A Neglected Psychometric Feature of Test Items?Psychometrika · 2022Article
- Exploring the Multiverse of Analytical Decisions in Scaling Educational Large-Scale Assessment Data: A Specification Curve Analysis for PISA 2018 Mathematics Data.European journal of investigation in health, psychology and education · 2022Article
- 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
- A Zero-Inflated Box-Cox Normal Unipolar Item Response Model for Measuring Constructs of Psychopathology.Applied psychological measurement · 2018Article
- Asymmetric Item Characteristic Curves and Item Complexity: Insights from Simulation and Real Data Analyses.Psychometrika · 2018Article
- Application of Asymmetric IRT Modeling to Discrete-Option Multiple-Choice Test Items.Frontiers in psychology · 2018Article
- A more general model for testing measurement invariance and differential item functioning.Psychological methods · 2017Article
- Asymptotic Robustness Study of the Polychoric Correlation Estimation.Psychometrika · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Effort has been devoted to account for heteroscedasticity with respect to observed or latent moderator variables in item or test scores. For instance, in the multi-group generalized linear latent trait model, it could be tested whether the observed (polychoric) covariance matrix differs across the levels of an observed moderator variable. In the case that heteroscedasticity arises across the latent trait itself, existing models commonly distinguish between heteroscedastic residuals and a skewed trait distribution. These models have valuable applications in intelligence, personality and psychopathology research. However, existing approaches are only limited to continuous and polytomous data, while dichotomous data are common in intelligence and psychopathology research. Therefore, in present paper, a heteroscedastic latent trait model is presented for dichotomous data. The model is studied in a simulation study, and applied to data pertaining alcohol use and cognitive ability.
Indexed as
Identifiers
25080866What 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.