ArticleApplied psychological measurement2022
Termination Criteria for Grid Multiclassification Adaptive Testing With Multidimensional Polytomous Items.
Article in Applied psychological measurement, 2022. 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
3 authors.
Funding
Abstract
Adaptive classification testing (ACT) is a variation of computerized adaptive testing (CAT) that is developed to efficiently classify examinees into multiple groups based on predetermined cutoffs. In multidimensional multiclassification (i.e., more than two categories exist along each dimension), grid classification is proposed to classify each examinee into one of the grids encircled by cutoffs (lines/surfaces) along different dimensions so as to provide clearer information regarding an examinee's relative standing along each dimension and facilitate subsequent treatment and intervention. In this article, the sequential probability ratio test (SPRT) and confidence interval method were implemented in the grid multiclassification ACT. In addition, two new termination criteria, the grid classification generalized likelihood ratio (GGLR) and simplified grid classification generalized likelihood ratio were proposed for grid multiclassification ACT. Simulation studies, using a simulated item bank, and a real item bank with polytomous multidimensional items, show that grid multiclassification ACT is more efficient than classification based on measurement CAT that focuses on trait estimate precision. In the context of a high-quality bank, GGLR was found to most efficiently terminate the grid multiclassification ACT and classify examinees.
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.