ArticleApplied psychological measurement2020
An Item Response Model for True-False Exams Based on Signal Detection Theory.
Article in Applied psychological measurement, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Unveiling local dependencies in accuracy and speed: A mixture hierarchical modeling approach.Behavior research methods · 2026Article
- Fused SDT/IRT Models for Mixed-Format Exams.Educational and psychological measurement · 2024Article
- A New Approach to Desirable Responding: Multidimensional Item Response Model of Overclaiming Data.Applied psychological measurement · 2023Article
- Bayesian modeling of item heterogeneity in dichotomous recognition memory data and prospects for computerized adaptive testing.Scientific reports · 2022Article
- A Signal Detection Model for Multiple-Choice Exams.Applied psychological measurement · 2021Article
- Modeling Within-Item Dependencies in Parallel Data on Test Responses and Brain Activation.Psychometrika · 2021Article
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
A true-false exam can be viewed as being a signal detection task-the task is to detect whether or not an item is true (signal) or false (noise). In terms of signal detection theory (SDT), examinees can be viewed as performing the task by comparing the perceived plausibility of an item (a perceptual component) to a threshold that delineates true from false (a decision component). The resulting model is distinct yet is related to item response theory (IRT) models and grade of membership models, with the difference that SDT explicitly recognizes the role of examinees' perceptions in determining their response to an item. SDT also views IRT concepts such as "difficulty" and "guessing" in a different light, in that both are viewed as reflecting the same aspect-item bias. An application to a true-false algebra exam is presented and the various models are compared.
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.