Evidence map›Paper›PMID 39240230›Full record

ArticleInternational journal of methods in psychiatric research2024

Developing an accurate and efficient tool for the internalizing spectrum: A simulation study of the adaptive algorithm to the Inventory of Depression and Anxiety Symptoms II (IDAS-II).

M Sanchez-Garcia, A De la Rosa-Cáceres, G Rossi, C Diaz-Batanero

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Article in International journal of methods in psychiatric research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

M Sanchez-GarciaDepartment of Clinical and Experimental Psychology, University of Huelva, Huelva, Spain.ORCID 0000-0003-3375-8347
A De la Rosa-CáceresDepartment of Clinical and Experimental Psychology, University of Huelva, Huelva, Spain.ORCID 0000-0003-3719-0840
G RossiDepartment of Psychology, Personality and Psychopathology Research Group, Vrije Universiteit Brussel, Brussels, Belgium.ORCID 0000-0003-1062-0070
C Diaz-BataneroDepartment of Clinical and Experimental Psychology, University of Huelva, Huelva, Spain.ORCID 0000-0003-3392-4683

Funding

Ministerio de Ciencia e Innovación (MICIU/AEI/10.13039/501100011033) PID2020-116187RB-I00Ministerio de Universidades FPU19/00144
6 · The paper itself

Abstract

objectivesThis research simulates an adaptive version of the IDAS-II (IDAS-CAT).

methods2021 participants from both community (n = 1692) and patients (n = 329) samples completed the IDAS-II. Item response theory metric properties of the IDAS-II full test and the 20-items of the general depression (GD) scale were obtained. The efficiency and accuracy of different computerized adaptive algorithms were simulated. Different subsamples completed additional external measures in order to gather evidence of validity of the scores estimated with the simulated adaptive algorithms selected.

resultsBoth unidimensional computerized adaptive testing algorithm selected for the GD scale and the bifactor model chosen for the full test, allow 70% reduction in the length of administration, maintaining a measurement error below 0.30 on the general and 0.50 on the specific factors. Results show high correlations of the scores estimated with the adaptive algorithms and the estimates based on the full test, as well as correlations with external criteria almost equal to those generated with the full test.

conclusionsIDAS-CAT could be a reliable and fast tool for measuring internalizing spectrum.

Indexed as

AlgorithmsAnxietyPsychiatric Status Rating ScalesAdolescentAdultAgedComputer SimulationDepressionFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsYoung Adultadaptive testinganxietyassessmentdepressionIDAS‐IIinternalizing

Identifiers

PMID39240230
PMCPMC11378603

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