View in EDS HTML Full Text PDF Full Text

Measurement of latent cognitive abilities involved in concept identification learning.

Saved in:
Bibliographic Details
Title: Measurement of latent cognitive abilities involved in concept identification learning.
Authors: Thomas, Michael L. (AUTHOR), Brown, Gregory G. (AUTHOR), Gur, Ruben C. (AUTHOR), Moore, Tyler M. (AUTHOR), Patt, Virginie M. (AUTHOR), Nock, Matthew K. (AUTHOR), Naifeh, James A. (AUTHOR), Heeringa, Steven (AUTHOR), Ursano, Robert J. (AUTHOR), Stein, Murray B. (AUTHOR), on behalf of the Army STARRS Collaborators (AUTHOR)
Source: Journal of Clinical & Experimental Neuropsychology. Aug2015, Vol. 37 Issue 6, p653-669. 17p. 1 Black and White Photograph, 2 Charts, 1 Graph.
Subjects: Cognitive Abilities Test, Psychometrics, Test validity, Item response theory, Abstract thought, Clinical neuropsychology
Abstract: Introduction: We used cognitive and psychometric modeling techniques to evaluate the construct validity and measurement precision of latent cognitive abilities measured by a test of concept identification learning: the Penn Conditional Exclusion Test (PCET).Method: Item response theory parameters were embedded within classic associative- and hypothesis-based Markov learning models and were fitted to 35,553 Army soldiers’ PCET data from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).Results: Data were consistent with a hypothesis-testing model with multiple latent abilities—abstraction and set shifting. Latent abstraction ability was positively correlated with number of concepts learned, and latent set-shifting ability was negatively correlated with number of perseverative errors, supporting the construct validity of the two parameters. Abstraction was most precisely assessed for participants with abilities ranging from 1.5 standard deviations below the mean to the mean itself. Measurement of set shifting was acceptably precise only for participants making a high number of perseverative errors.Conclusions: The PCET precisely measures latent abstraction ability in the Army STARRS sample, especially within the range of mildly impaired to average ability. This precision pattern is ideal for a test developed to measure cognitive impairment as opposed to cognitive strength. The PCET also measures latent set-shifting ability, but reliable assessment is limited to the impaired range of ability, reflecting that perseverative errors are rare among cognitively healthy adults. Integrating cognitive and psychometric models can provide information about construct validity and measurement precision within a single analytical framework. [ABSTRACT FROM PUBLISHER]
Copyright of Journal of Clinical & Experimental Neuropsychology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 108329920
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Measurement of latent cognitive abilities involved in concept identification learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Thomas%2C+Michael+L%2E%22">Thomas, Michael L.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Brown%2C+Gregory+G%2E%22">Brown, Gregory G.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gur%2C+Ruben+C%2E%22">Gur, Ruben C.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moore%2C+Tyler+M%2E%22">Moore, Tyler M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Patt%2C+Virginie+M%2E%22">Patt, Virginie M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nock%2C+Matthew+K%2E%22">Nock, Matthew K.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Naifeh%2C+James+A%2E%22">Naifeh, James A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Heeringa%2C+Steven%22">Heeringa, Steven</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ursano%2C+Robert+J%2E%22">Ursano, Robert J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stein%2C+Murray+B%2E%22">Stein, Murray B.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22on+behalf+of+the+Army+STARRS+Collaborators%22">on behalf of the Army STARRS Collaborators</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Clinical+%26+Experimental+Neuropsychology%22">Journal of Clinical & Experimental Neuropsychology</searchLink>. Aug2015, Vol. 37 Issue 6, p653-669. 17p. 1 Black and White Photograph, 2 Charts, 1 Graph.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Cognitive+Abilities+Test%22">Cognitive Abilities Test</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Test+validity%22">Test validity</searchLink><br /><searchLink fieldCode="DE" term="%22Item+response+theory%22">Item response theory</searchLink><br /><searchLink fieldCode="DE" term="%22Abstract+thought%22">Abstract thought</searchLink><br /><searchLink fieldCode="DE" term="%22Clinical+neuropsychology%22">Clinical neuropsychology</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Introduction: We used cognitive and psychometric modeling techniques to evaluate the construct validity and measurement precision of latent cognitive abilities measured by a test of concept identification learning: the Penn Conditional Exclusion Test (PCET).Method: Item response theory parameters were embedded within classic associative- and hypothesis-based Markov learning models and were fitted to 35,553 Army soldiers’ PCET data from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).Results: Data were consistent with a hypothesis-testing model with multiple latent abilities—abstraction and set shifting. Latent abstraction ability was positively correlated with number of concepts learned, and latent set-shifting ability was negatively correlated with number of perseverative errors, supporting the construct validity of the two parameters. Abstraction was most precisely assessed for participants with abilities ranging from 1.5 standard deviations below the mean to the mean itself. Measurement of set shifting was acceptably precise only for participants making a high number of perseverative errors.Conclusions: The PCET precisely measures latent abstraction ability in the Army STARRS sample, especially within the range of mildly impaired to average ability. This precision pattern is ideal for a test developed to measure cognitive impairment as opposed to cognitive strength. The PCET also measures latent set-shifting ability, but reliable assessment is limited to the impaired range of ability, reflecting that perseverative errors are rare among cognitively healthy adults. Integrating cognitive and psychometric models can provide information about construct validity and measurement precision within a single analytical framework. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Clinical & Experimental Neuropsychology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=108329920
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/13803395.2015.1042358
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 653
    Subjects:
      – SubjectFull: Cognitive Abilities Test
        Type: general
      – SubjectFull: Psychometrics
        Type: general
      – SubjectFull: Test validity
        Type: general
      – SubjectFull: Item response theory
        Type: general
      – SubjectFull: Abstract thought
        Type: general
      – SubjectFull: Clinical neuropsychology
        Type: general
    Titles:
      – TitleFull: Measurement of latent cognitive abilities involved in concept identification learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Thomas, Michael L.
      – PersonEntity:
          Name:
            NameFull: Brown, Gregory G.
      – PersonEntity:
          Name:
            NameFull: Gur, Ruben C.
      – PersonEntity:
          Name:
            NameFull: Moore, Tyler M.
      – PersonEntity:
          Name:
            NameFull: Patt, Virginie M.
      – PersonEntity:
          Name:
            NameFull: Nock, Matthew K.
      – PersonEntity:
          Name:
            NameFull: Naifeh, James A.
      – PersonEntity:
          Name:
            NameFull: Heeringa, Steven
      – PersonEntity:
          Name:
            NameFull: Ursano, Robert J.
      – PersonEntity:
          Name:
            NameFull: Stein, Murray B.
      – PersonEntity:
          Name:
            NameFull: on behalf of the Army STARRS Collaborators
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: Aug2015
              Type: published
              Y: 2015
          Identifiers:
            – Type: issn-print
              Value: 13803395
          Numbering:
            – Type: volume
              Value: 37
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Journal of Clinical & Experimental Neuropsychology
              Type: main
ResultId 1