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How does the homophone meaning generation test associate with the phonemic and semantic fluency tests? A quantitative and qualitative analysis

Published online by Cambridge University Press:  20 March 2007

GITIT KAVÉ ,
AYELET AVRAHAM ,
DORIT KUKULANSKY-SEGAL  and
ORLY HERZBERG
GITIT KAVÉ
Affiliation:
Department of Education and Psychology, The Open University, Ra'anana, Israel
AYELET AVRAHAM
Affiliation:
Department of Pediatric Rehabilitation, Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel
DORIT KUKULANSKY-SEGAL
Affiliation:
Department of Pediatric Rehabilitation, Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel Department of Communication Disorders, Tel Aviv University, Tel Aviv, Israel
ORLY HERZBERG
Affiliation:
Department of Pediatric Rehabilitation, Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel Department of Communication Disorders, Tel Aviv University, Tel Aviv, Israel
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Abstract

The current study examines whether the Homophone Meaning Generation Test (HMGT; Warrington, 2000) is correlated with the phonemic and/or the semantic fluency tests and compares its association with the number of switches and clusters and the mean cluster size of these two tasks. One hundred healthy Hebrew speakers (18–35 years of age; mean = 24.9) generated meanings for 24 homophones and provided words beginning in three different letters, as well as words belonging to three semantic categories. Results show that the HMGT score correlated significantly and similarly with the total score of both the phonemic and the semantic fluency tests. There was a significant correlation between the HMGT and the number of phonemic switches and clusters, but not between the HMGT and the mean phonemic cluster size. The HMGT correlated with the number of semantic switches and clusters, as well as with the mean semantic cluster size. The findings suggest that the relationship between these tests is mediated by a shared executive component, attesting to the HMGT's utility in tapping into mechanisms of shifting and mental flexibility. (JINS, 2007, 13, 424–432.)

Keywords

Verbal fluencyWord generationSwitching and clusteringExecutive functionsLanguage testingHebrew
Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 13 , Issue 3 , May 2007 , pp. 424 - 432
Copyright
© 2007 The International Neuropsychological Society

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References

REFERENCES

Abwender, D.A., Swan, J.G., Bowerman, J.T., & Connolly, S.W. (2001). Qualitative analysis of verbal fluency output: Review and comparison of several scoring methods. Assessment, 8, 323–336.Google Scholar
Alvarez, J.A. & Emory, E. (2006). Executive function and the frontal lobes: A meta-analytic review. Neuropsychology Review, 16, 17–42.Google Scholar
Barr, A. & Brandt, J. (1996). Word-list generation deficits in dementia. Journal of Clinical and Experimental Neuropsychology, 18, 810–822.Google Scholar
Benito-Cuadrado, M.M., Esteba-Castillo, S., Bohm, P., Cejudo-Bolivar, J., & Pena-Casanova, J. (2002). Semantic verbal fluency of animals: A normative and predictive study in a Spanish population. Journal of Clinical and Experimental Neuropsychology, 24, 1117–1122.Google Scholar
Bokat, C.E. & Goldberg, T.E. (2003). Letter and category fluency in schizophrenic patients: A meta-analysis. Schizophrenia Research, 64, 73–78.Google Scholar
Bozikas, V.P., Kosmidis, M.H., & Karavatos, A. (2005). Disproportionate impairment in semantic verbal fluency in schizophrenia: Differential deficit in clustering. Schizophrenia Research, 74, 51–59.Google Scholar
Caramazza, A., Bi, Y., Costa, A., & Miozzo, M. (2004). What determines the speed of lexical access: Homophone or specific-word frequency? A reply to Jescheniak et al. (2003). Journal of Experimental Psychology: Learning Memory and Cognition, 30, 278–282.Google Scholar
Caramazza, A., Costa, A., Miozzo, M., & Bi, Y. (2001). The specific-word frequency effect: Implications for the representation of homophones in speech production. Journal of Experimental Psychology: Learning, Memory, and Cognition, 27, 1430–1450.Google Scholar
Chan, A.S. & Poon, M.W. (1999). Performance of 7- to 95-year-old individuals in a Chinese version of the Category Fluency Test. Journal of the International Neuropsychological Society, 5, 525–533.Google Scholar
Crawford, J.R. & Warrington, E.K. (2002). The Homophone Meaning Generation Test: Psychometric properties and a method for estimating premorbid performance. Journal of the International Neuropsychological Society, 8, 547–554.Google Scholar
Epker, M.O., Lacritz, L.H., & Munro Cullum, C. (1999). Comparative analysis of qualitative verbal fluency performance in normal elderly and demented populations. Journal of Clinical and Experimental Neuropsychology, 21, 425–434.Google Scholar
Fossati, P., Guillaume, le B., Ergis, A.M., & Allilaire, J.F. (2003). Qualitative analysis of verbal fluency in depression. Psychiatry Research, 117, 17–24.Google Scholar
Gladsjo, J.A., Schuman, C.C., Evans, J.D., Peavy, G.M., Miller, S.W., & Heaton, R.K. (1999). Norms for letter and category fluency: Demographic corrections for age, education, and ethnicity. Assessment, 6, 147–178.Google Scholar
Henry, J.D. & Beatty, W.W. (2006). Verbal fluency deficits in multiple sclerosis. Neuropsychologia, 44, 1166–1174.Google Scholar
Henry, J.D. & Crawford, J.R. (2004). A meta-analytic review of verbal fluency performance following focal cortical lesions. Neuropsychology, 18, 284–295.Google Scholar
Henry, J.D. & Crawford, J.R. (2005). A meta-analytic review of verbal fluency deficits in depression. Journal of Clinical and Experimental Neuropsychology, 27, 78–101.Google Scholar
Henry, J.D., Crawford, J.R., & Phillips, L.H. (2004). Verbal fluency performance in dementia of the Alzheimer's type: A meta-analysis. Neuropsychologia, 42, 1212–1222.Google Scholar
Hughes, D.L. & Bryan, J. (2002). Adult age differences in strategy use during verbal fluency performance. Journal of Clinical and Experimental Neuropsychology, 24, 642–654.Google Scholar
Jescheniak, J.D. & Levelt, W.J. (1994). Word frequency effects in speech production: Retrieval of syntactic information and phonological form. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 824–843.Google Scholar
Jescheniak, J.D., Meyer, A.S., & Levelt, W.J. (2003). Specific-word frequency is not all that counts in speech production: Comments on Caramazza, Costa, et al. (2001) and new experimental data. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29, 432–438.Google Scholar
Kavé, G. (2005). Phonemic fluency, semantic fluency, and difference scores: Normative data for adult Hebrew speakers. Journal of Clinical and Experimental Neuropsychology, 27, 690–699.Google Scholar
Kempler, D., Teng, E.L., Dick, M., Taussig, I.M., & Davis, D.S. (1998). The effects of age, education, and ethnicity on verbal fluency. Journal of the International Neuropsychological Society, 4, 531–538.Google Scholar
Koren, R., Kofman, O., & Berger, A. (2005). Analysis of word clustering in verbal fluency of school-aged children. Archives of Clinical Neuropsychology, 20, 1087–1104.Google Scholar
Kosmidis, M.H., Vlahou, C.H., Panagiotaki, P., & Kiosseoglou, G. (2004). The verbal fluency task in the Greek population: Normative data, and clustering and switching strategies. Journal of the International Neuropsychological Society, 10, 164–172.Google Scholar
Kozora, E. & Cullum, C.M. (1995). Generative naming in normal aging: Total output and qualitative changes using phonemic and semantic constraints. The Clinical Neuropsychologist, 9, 313–320.Google Scholar
Kremen, W.S., Seidman, L.J., Faraone, S.V., & Tsuang, M.T. (2003). Is there disproportionate impairment in semantic or phonemic fluency in schizophrenia? Journal of the International Neuropsychological Society, 9, 79–88.Google Scholar
Miozzo, M., Jacobs, M.L., & Singer, N.J.W. (2004). The representation of homophones: Evidence from anomia. Cognitive Neuropsychology, 21, 840–866.Google Scholar
Rogers, T.T., Ivanoiu, A., Patterson, K., & Hodges, J.R. (2006). Semantic memory in Alzheimer's disease and the frontotemporal dementias: A longitudinal study of 236 patients. Neuropsychology, 20, 319–335.Google Scholar
Rosser, A. & Hodges, J.R. (1994). Initial letter and semantic category fluency in Alzheimer's disease, Huntington's disease, and progressive supranuclear palsy. Journal of Neurology, Neurosurgery and Psychiatry, 57, 1389–1394.Google Scholar
Sauzéon, H., Lestage, P., Raboutet, C., N'Kaoua, B., & Claverie, B. (2004). Verbal fluency output in children aged 7–16 as a function of the production criterion: Qualitative analysis of clustering, switching processes, and semantic network exploitation. Brain and Language, 89, 192–202.Google Scholar
Tombaugh, T.N., Kozak, J., & Rees, L. (1999). Normative data stratified by age and education for two measures of verbal fluency: FAS and animal naming. Archives of Clinical Neuropsychology, 14, 167–177.Google Scholar
Troster, A.I., Fields, J.A., Testa, J.A., Paul, R.H., Blanco, C.R., Hames, K.A., Salmon, D.P., & Beatty, W.W. (1998). Cortical and subcortical influences on clustering and switching in the performance of verbal fluency tasks. Neuropsychologia, 36, 295–304.Google Scholar
Troyer, A.K. (2000). Normative data for clustering and switching on verbal fluency tasks. Journal of Clinical and Experimental Neuropsychology, 22, 370–378.Google Scholar
Troyer, A.K., Moscovitch, M., & Winocur, G. (1997). Clustering and switching as two components of verbal fluency: Evidence from younger and older healthy adults. Neuropsychology, 11, 138–146.Google Scholar
Troyer, A.K., Moscovitch, M., Winocur, G., Alexander, M.P., & Stuss, D.T. (1998). Clustering and switching on verbal fluency: The effects of focal frontal- and temporal-lobe lesions. Neuropsychologia, 36, 499–504.Google Scholar
Tucha, O., Mecklinger, L., Laufkotter, R., Kaunzinger, I., Paul, G.M., Klein, H.E., & Lange, K.W. (2005). Clustering and switching on verbal and figural fluency functions in adults with attention deficit hyperactivity disorder. Cognitive Neuropsychiatry, 10, 231–248.Google Scholar
Warrington, E.K. (2000). Homophone meaning generation: A new test of verbal switching for the detection of frontal lobe dysfunction. Journal of the International Neuropsychological Society, 6, 643–648.Google Scholar
Woods, S.P., Conover, E., Rippeth, J.D., Carey, C.L., Gonzalez, R., Marcotte, T.D., Heaton, R.K., Grant, I., & HIV Neurobehavioral Research Center (HNRC) Group. (2004). Qualitative aspects of verbal fluency in HIV-associated dementia: A deficit in rule-guided lexical-semantic search processes? Neuropsychologia, 42, 801–809.Google Scholar