Comparing Semantic and Phonemic Fluency Performance in Adults Who Do and Do Not Stutter.

Purpose: This study investigated lexical access and executive control in adults who do (AWS) and do not stutter (AWNS) via phonemic and semantic fluency tasks. Analysis of the participants' accurate responses, as well as clustering (i.e., organization of responses into subgroups) and switching (i.e....

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of Speech, Language & Hearing Research Vol. 69; no. 4; pp. 1455 - 1469
Autores principales: Gkalitsiou, Zoi, Werle, Danielle
Formato: Artículo
Publicado: American Speech-Language-Hearing Association Apr2026
Materias:
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=192982171&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 192982171
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        10924388
        1SM
      jtl: Journal of Speech, Language & Hearing Research
      issn: 10924388
      maglogo: N
    pubinfo:
      dt: Apr2026
      vid: 69
      iid: 4
      pid: 42
      pub: American Speech-Language-Hearing Association
    artinfo:
      ui:
        192982171
        10.1044/2025_JSLHR-25-00437
      ppf: 1455
      ppct: 14
      formats:
        fmt:
          @attributes:
            type: P
            size: 842KB
      tig:
        atl: Comparing Semantic and Phonemic Fluency Performance in Adults Who Do and Do Not Stutter.
      aug:
        au:
          Gkalitsiou, Zoi
          Werle, Danielle
        affil:
          Department of Speech, Language, and Hearing Sciences, California State University, East Bay, Hayward
          Arthur M. Blank Center for Stuttering Education and Research--Atlanta Satellite, Department of Speech, Language, and Hearing Sciences, The University of Texas at Austin
      su:
        Executive function
        Sound recordings
        Semantics
        Phonetics
        Adults
        Data analysis
        Stuttering
        Descriptive statistics
        Intelligibility of speech
        Audiometry
        Statistics
        Data analysis software
        Video recording
      sug:
        subj:
          Executive function
          Sound recordings
          Semantics
          Phonetics
          Adults
          Sound recording merchant wholesalers
          Record Production
          Integrated Record Production/Distribution
          Data analysis
          Stuttering
          Descriptive statistics
          Intelligibility of speech
          Audiometry
          Statistics
          Data analysis software
          Video recording
      ab: Purpose: This study investigated lexical access and executive control in adults who do (AWS) and do not stutter (AWNS) via phonemic and semantic fluency tasks. Analysis of the participants' accurate responses, as well as clustering (i.e., organization of responses into subgroups) and switching (i.e., shifting between subgroups), provided insight into which processes (e.g., word storage, strategic search) are particularly challenging for AWS and contribute to their diminished lexical access abilities. Method: Thirty-two AWS and 32 well-matched AWNS generated as many words as possible in 60 s, which began with a specific letter of the alphabet (i.e., F, A, and S) or belonged to a specific semantic category (e.g., animals, supermarket). Results: Mixed-effects model analyses revealed that AWS produced significantly fewer accurate responses than AWNS did in phonemic fluency but not in semantic. No differences in clustering were found between the two groups. Lastly, AWS had significantly fewer switches than AWNS did. Conclusions: Poorer performance in phonemic fluency and fewer switches suggest weaker lexical access for phonological information and executive control abilities in AWS compared to AWNS. The lack of between-group differences in semantic fluency and clustering suggests that word storage and organization of long-term memory seem intact in AWS.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N