Using a nonparametric item response theory model to identify patterns of cognitive decline: The Mokken scale analysis

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datacite.alternateIdentifier.citationJOURNAL OF NEUROPSYCHOLOGY,Vol.,2024
datacite.alternateIdentifier.doi10.1111/jnp.12381
datacite.creatorCalderon, Carlos
datacite.creatorPalominos, Diego
datacite.creatorVeliz Garcia, Oscar
datacite.creatorRamos Henderson, Miguel
datacite.creatorBekios Canales, Nikolas
datacite.creatorBeyle, Christian
datacite.creatoravalos Tejeda, Marcelo
datacite.creatorDomic Siede, Marcos
datacite.date2024
datacite.subject.englishcognitive decline
datacite.subject.englishcognitive impairments
datacite.subject.englishdementia
datacite.subject.englishelderly
datacite.subject.englishitem response theory
datacite.subject.englishMokken scale analysis
datacite.subject.englishneurocognitive test
datacite.subject.englishpsychometrics
datacite.titleUsing a nonparametric item response theory model to identify patterns of cognitive decline: The Mokken scale analysis
dc.date.accessioned2024-09-10T18:47:11Z
dc.date.available2024-09-10T18:47:11Z
dc.description.abstractCognitive decline, particularly in dementia, presents complex challenges in early detection and diagnosis. While Item Response Theory (IRT) has been instrumental in identifying patterns of cognitive impairment through psychometric tests, its parametric models often require large sample sizes and strict assumptions. This creates a need for more adaptable, less demanding analytical methods. This study aimed to evaluate the effectiveness of Mokken scale analysis (MSA), a nonparametric IRT model, in identifying hierarchical patterns of cognitive impairment from psychometric tests. Using data from 1164 adults over 60 years old, we applied MSA to the orientation subscale of ACE-III. Our analysis involved calculating scalability, monotone homogeneity, invariant item ordering (IIO) and response functions. The MSA effectively retrieved the hierarchical order of cognitive impairment patterns. Most items showed strong scalability and consistent patterns of cognitive performance. However, challenges with IIO were observed, particularly with items having adjacent difficulty parameters. The findings highlight MSA's potential as a practical alternative to parametric IRT models in cognitive impairment research. Its ability to provide valuable insights into patterns of cognitive deterioration, coupled with less stringent requirements, makes it a useful tool for clinicians and researchers.
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/5970
dc.language.isoen
dc.publisherWILEY
dc.sourceJOURNAL OF NEUROPSYCHOLOGY
oaire.resourceTypeWOS
uct.indizacionSCI
uct.indizacionSSCI
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