View in EDS HTML Full Text PDF Full Text

A blind spot in correct naming latency analyses.

Saved in:
Bibliographic Details
Title: A blind spot in correct naming latency analyses.
Authors: Oppenheim, Gary M. (AUTHOR)
Source: Cognitive Neuropsychology. Feb/Mar2017, Vol. 34 Issue 1/2, p33-41. 9p.
Subjects: Speech errors, Onomasiology, Language & languages, Computational linguistics, Information retrieval
Abstract: Speech errors and naming latencies provide two complementary sets of behavioural data for understanding language production processes. A recent analytical trend—applied to intact and impaired production alike—highlights a link between specific features of correct picture naming latency distributions and the retrieval processes thought to underlie them. Although chronometric approaches to language production typically consider correct response times in isolation, adequately accounting for their distributions in error-prone situations requires also considering the errors that sometimes censor them. In this paper, I illustrate by simulation how excluding incorrect word retrievals predictably alters observed distributions of correct naming latencies. To the extent that naming errors impose a stochastic deadline on successful production, their censoring should tend to reduce the mean, variance, and skew of observed latencies for correct responses, relative to the uncensored underlying distribution. [ABSTRACT FROM AUTHOR]
Copyright of Cognitive 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: 124023476
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A blind spot in correct naming latency analyses.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Oppenheim%2C+Gary+M%2E%22">Oppenheim, Gary M.</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Cognitive+Neuropsychology%22">Cognitive Neuropsychology</searchLink>. Feb/Mar2017, Vol. 34 Issue 1/2, p33-41. 9p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Speech+errors%22">Speech errors</searchLink><br /><searchLink fieldCode="DE" term="%22Onomasiology%22">Onomasiology</searchLink><br /><searchLink fieldCode="DE" term="%22Language+%26+languages%22">Language & languages</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+linguistics%22">Computational linguistics</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Speech errors and naming latencies provide two complementary sets of behavioural data for understanding language production processes. A recent analytical trend—applied to intact and impaired production alike—highlights a link between specific features of correct picture naming latency distributions and the retrieval processes thought to underlie them. Although chronometric approaches to language production typically consider correct response times in isolation, adequately accounting for their distributions in error-prone situations requires also considering the errors that sometimes censor them. In this paper, I illustrate by simulation how excluding incorrect word retrievals predictably alters observed distributions of correct naming latencies. To the extent that naming errors impose a stochastic deadline on successful production, their censoring should tend to reduce the mean, variance, and skew of observed latencies for correct responses, relative to the uncensored underlying distribution. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Cognitive 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=124023476
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/02643294.2017.1338563
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 33
    Subjects:
      – SubjectFull: Speech errors
        Type: general
      – SubjectFull: Onomasiology
        Type: general
      – SubjectFull: Language & languages
        Type: general
      – SubjectFull: Computational linguistics
        Type: general
      – SubjectFull: Information retrieval
        Type: general
    Titles:
      – TitleFull: A blind spot in correct naming latency analyses.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Oppenheim, Gary M.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: Feb/Mar2017
              Type: published
              Y: 2017
          Identifiers:
            – Type: issn-print
              Value: 02643294
          Numbering:
            – Type: volume
              Value: 34
            – Type: issue
              Value: 1/2
          Titles:
            – TitleFull: Cognitive Neuropsychology
              Type: main
ResultId 1