Evidence map›Paper›PMID 39060860›Full record

ArticleBehavior research methods2024

Reliability of a probabilistic knowledge structure.

Debora de Chiusole, Umberto Granziol, Andrea Spoto, Luca Stefanutti

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Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Debora de Chiusole *FISPPA Department, University of Padua, Padua, Italy.
Umberto Granziol *Department of General Psychology, University of Padua, Padua, Italy.
Andrea SpotoDepartment of General Psychology, University of Padua, Padua, Italy. andrea.spoto@unipd.it.ORCID https://orcid.org/0000-0002-7580-544X
Luca StefanuttiFISPPA Department, University of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indexes for estimating the overall reliability of a test in the framework of knowledge space theory (KST) are proposed and analyzed. First, the possibility of applying in KST the existing classical test theory (CTT) methods, based on the ratio between the true score variance and the total variance of the measure, has been explored. However, these methods are not suitable because in KST error and true score are not independent. Therefore, two new indexes based on the concepts of entropy and conditional entropy are developed. One index is used to estimate the reliability of the response pattern given the knowledge state, while the second one refers to the reliability of the estimated knowledge state of a person. Some theoretical considerations as well as simulations and an empirical example on real data are provided within a study of the behavior of these indexes under a certain number of different conditions.

Indexed as

KnowledgeComputer SimulationEntropyHumansModels, StatisticalProbabilityPsychometricsReproducibility of ResultsAssessmentBasic local independence modelClassificationInformation theoryKnowledge structuresLatent class analysisReliability

Identifiers

PMID39060860
PMCPMC11362261

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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.