ArticleEducational and psychological measurement2022
Evaluating Different Scoring Methods for Multiple Response Items Providing Partial Credit.
Article in Educational and psychological measurement, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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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.
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Who cites it
9 citing papers in PubMed.
- Awareness regarding the epidemiology, prevention, treatment, and consequences of viral hepatitis among a predominantly young adult population in the Podillia region (Ukraine): a cross-sectional study.Preventive medicine reports · 2026Article
- Mitigating the slipping effect in polytomous scales: The Generalized Conditional Reliability Weighting (G-CRW) Algorithm and the WeightMyItems R package.Behavior research methods · 2026Article
- Psychometric Model Framework for Multiple Response Items.Psychometrika · 2026Article
- Strengthening evidence-based practices in assessment and treatment planning for substance use disorder: an evaluation of a Swedish training program for social services.Frontiers in psychiatry · 2026Article
- A Pilot Study to Advance Task-Sharing of Gastroschisis Management in Uganda.Annals of global health · 2026Article
- Development and validation of dysphagia knowledge and self-reported competence questionnaire for nurses.PloS one · 2026Article
- Game-based learning in undergraduate medical education: evaluation of an interdisciplinary escape room.BMC medical education · 2025Article
- Location-Matching Adaptive Testing for Polytomous Technology-Enhanced Items.Applied psychological measurement · 2024Article
- Polytomous Testlet Response Models for Technology-Enhanced Innovative Items: Implications on Model Fit and Trait Inference.Educational and psychological measurement · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The multiple response structure can underlie several different technology-enhanced item types. With the increased use of computer-based testing, multiple response items are becoming more common. This response type holds the potential for being scored polytomously for partial credit. However, there are several possible methods for computing raw scores. This research will evaluate several approaches found in the literature using an approach that evaluates how the inclusion of scoring related to the selection/nonselection of both relevant and irrelevant information is incorporated extending Wilson's approach. Results indicated all methods have potential, but the plus/minus and true/false methods seemed the most promising for items using the "select all that apply" instruction set. Additionally, these methods showed a large increase in information per time unit over the dichotomous method.
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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.