ArticleBehavior research methods2026
Mitigating the slipping effect in polytomous scales: The Generalized Conditional Reliability Weighting (G-CRW) Algorithm and the WeightMyItems R package.
Article in Behavior research methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Traditional unit weighting (UW) remains ubiquitous in psychological assessment due to its simplicity, yet it assumes equal item contribution and struggles with person-item response inconsistencies, commonly known as the slipping effect. This study introduces the Generalized Conditional Reliability Weighting (G-CRW) algorithm, a parsimonious scoring method for polytomous scales that conditionally incorporates item reliability into observed scores based on a person-item congruence threshold. To evaluate its psychometric performance relative to UW, a comprehensive Monte Carlo simulation (1134 conditions, 1000 replications) and an empirical application (N = 349) using three established scales (Doomscrolling, DASS-21, AAQ-II) were conducted. Simulation results demonstrated that G-CRW yields superior explained variance ratios (EVR) and internal consistency coefficients compared to UW, particularly under normal distributions and high average factor loadings (
Indexed as
Identifiers
42420627What 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.