Latent Variable Modeling and Adaptive Testing for Experimental Cognitive Psychopathology Research.
The adaptation of experimental cognitive tasks into measures that can be used to quantify neurocognitive outcomes in translational studies and clinical trials has become a key component of the strategy to address psychiatric and neurological disorders. Unfortunately, while most experimental cognitiv...
| Publicado en: | Educational & Psychological Measurement Vol. 81; no. 1; pp. 155 - 182 |
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| Autores principales: | , , , |
| Formato: | Artículo |
| Publicado: |
Sage Publications Inc.
Feb2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=148020048&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 148020048 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00131644 EPM jtl: Educational & Psychological Measurement issn: 00131644 maglogo: Y pubinfo: dt: Feb2021 vid: 81 iid: 1 pid: 344 pub: Sage Publications Inc. artinfo: ui: 148020048 10.1177/0013164420919898 ppf: 155 ppct: 27 formats: tig: atl: Latent Variable Modeling and Adaptive Testing for Experimental Cognitive Psychopathology Research. aug: au: Thomas, Michael L. Brown, Gregory G. Patt, Virginie M. Duffy, John R. affil: Colorado State University, Fort Collins, CO, USA University of California San Diego, La Jolla, CA, USA VA Boston Healthcare System, MA, USA su: Computer simulation Pathological psychology Psychometrics Psychoses Cognitive testing Computer adaptive testing Magnetic resonance imaging Neurobehavioral disorders Questionnaires Research funding Descriptive statistics sug: subj: Computer simulation Pathological psychology Psychometrics Psychoses Diagnostic Imaging Centers Cognitive testing Computer adaptive testing Magnetic resonance imaging Neurobehavioral disorders Questionnaires Research funding Descriptive statistics keyword: cognitive assessment cognitive psychometrics computerized adaptive testing experimental cognitive psychopathology item response theory neurocognitive disorders cognitive assessment cognitive psychometrics computerized adaptive testing experimental cognitive psychopathology item response theory neurocognitive disorders ab: The adaptation of experimental cognitive tasks into measures that can be used to quantify neurocognitive outcomes in translational studies and clinical trials has become a key component of the strategy to address psychiatric and neurological disorders. Unfortunately, while most experimental cognitive tests have strong theoretical bases, they can have poor psychometric properties, leaving them vulnerable to measurement challenges that undermine their use in applied settings. Item response theory–based computerized adaptive testing has been proposed as a solution but has been limited in experimental and translational research due to its large sample requirements. We present a generalized latent variable model that, when combined with strong parametric assumptions based on mathematical cognitive models, permits the use of adaptive testing without large samples or the need to precalibrate item parameters. The approach is demonstrated using data from a common measure of working memory—the N-back task—collected across a diverse sample of participants. After evaluating dimensionality and model fit, we conducted a simulation study to compare adaptive versus nonadaptive testing. Computerized adaptive testing either made the task 36% more efficient or score estimates 23% more precise, when compared to nonadaptive testing. This proof-of-concept study demonstrates that latent variable modeling and adaptive testing can be used in experimental cognitive testing even with relatively small samples. Adaptive testing has the potential to improve the impact and replicability of findings from translational studies and clinical trials that use experimental cognitive tasks as outcome measures. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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