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Brazilian Version of the Protocole Montréal d'Évaluation de la Communication (Protocole MEC): Normative and Reliability Data

Published online by Cambridge University Press:  10 April 2014

Rochele Paz Fonseca*
Affiliation:
Pontifícia Universidade Católica do Rio Grande do Sul – PUCRS (Brazil)
Yves Joanette
Affiliation:
Université de Montréal (Canada)
Hélène Côté
Affiliation:
Université de Montréal (Canada)
Bernadette Ska
Affiliation:
Université de Montréal (Canada)
Francine Giroux
Affiliation:
Université de Montréal (Canada)
Jandyra Maria Guimarães Fachel
Affiliation:
Universidade Federal do Rio Grande do Sul (Brazil)
Gabriela Damasceno Ferreira
Affiliation:
Universidade Federal do Rio Grande do Sul (Brazil)
Maria Alice de Mattos Pimenta Parente
Affiliation:
Universidade Federal do Rio Grande do Sul (Brazil)
*
Correspondence concerning this article should be addressed to Profa. Dra. Rochele Paz Fonseca., Pontifícia Universidade Católica do Rio Grande do Sul. Av. Ipiranga, 6681 - Prédio 11 - 9° andar, sala 938. CEP: 90619-900. Porto Alegre/RS., Brasil. Fone / Fax: 55 51 3320-3500 ramal 7745., rochele.fonseca@pucrs.br

Abstract

The lack of standardized instruments to evaluate communication disorders related to the right hemisphere was verified. A new evaluation tool was developed: Protocole Montréal d'Évaluation de la Communication – Protocole MEC, adapted to Brazilian Portuguese – Bateria Montreal de Avaliação da Comunicação – Bateria MAC (Montreal Evaluation of Communication Battery). The purpose was to present stratified normative data by age and educational level, and to verify the reliability parameters of the MEC Battery. 300 individuals, between the ages of 19 and 75 years, and levels of formal education between 2 and 35 years, participated in this study. They were divided equally into six normative groups, according to three age categories (young adults, intermediary age, and seniors) and two educational levels (low and high). Two procedures were used to check reliability: Cronbach alpha and reliability between evaluators. Results were established at the 10th percentile, and an alert point per task for each normative group. Cronbach's alpha was, in general, between .70 and .90 and the average rate of agreement between evaluators varied from .62 to .94. Standards of age and education were established. The reliability of this instrument was verified. The psychometric legitimization of the MEC Battery will contribute to the diagnostic process for communicative disorders.

Se verificó la falta de instrumentos estandarizados para evaluar los trastornos de comunicación relacionados con el hemisferio derecho. Se desarrolló una herramienta de evaluación nueva: el Protocole Montréal d'Évaluation de la Communication – ProtocoloMEC, adaptado al portugués brasileño – Bateria Montreal de Avaliação da Comunicação – Batería MAC (Batería de Evaluación de la Comunicación de Montreal). El objetivo fue presentar datos normativos estratificados por edad y nivel académico, y verificar los parámetros de fiabilidad de la batería MEC. 300 individuos, de edades entre los 19 y los 75 años y con 2 a 35 años de educación formal, participaron en este estudio. Se dividieron en seis grupos normativos, en función de tres categorías de edad (adultos jóvenes, edad mediana y mayores) y dos niveles educacionales (bajo y alto). Se emplearon dos procedimientos para confirmar la fiabilidad: alfa de Cronbach y fiabilidad inter-jueces. Se establecieron los resultados en el percentil 10 con un punto de alerta por tarea para cada grupo normativo. Los valores de alfa de Cronbach eran, en general, entre 0.70 y 0.90 y el grado de acuerdo entre los evaluadores variaba entre 0.62 y 0.94. Se establecieron normas de edad y educación. Se verificó la fiabilidad de este instrumento. La legitimación psicométrica de la Batería MEC contribuirá al proceso diagnóstico de los trastornos de comunicación.

Type
Articles
Copyright
Copyright © Cambridge University Press 2008

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References

Acevedo, A., Loewenstein, D.A., Barker, W.W., Harwood, D.G., Luis, C., Bravo, M., Hurwitz, D.A., Aguero, H., Greenfield, L., & Duara, R. (2000). Category fluency test: Normative data for English- and Spanish-speaking elderly. Journal of the International Neuropsychological Society, 6, 760–9.CrossRefGoogle ScholarPubMed
Andres, A.M., & Marzo, P.F. (2004). Delta: A new measure of agreement between two raters. British Journal of Mathematical & Statistical Psychology, 57, 119.CrossRefGoogle Scholar
Braun, C.M.J., & Crépeau, F. (1997). Évaluation neuropsychologique. Montréal: Décarie Éditeur.Google Scholar
Brickman, A.M., Paul, R.H., Cohen, R.A., Williams, L.M., MacGregor, K.L., Jefferson, A.L., Tate, D.F., Gunstad, J., & Gordon, E. (2005). Category and letter verbal fluency across the adult lifespan: Relationship to EEG theta power. Archives of Clinical Neuropsychology, 20, 561573.CrossRefGoogle ScholarPubMed
Brookshire, R.H. (2003). Introduction to neurogenic communication disorders. St. Louis, MO: Mosby Year Book.Google Scholar
Bryan, K.L. (1995). The Right Hemisphere Language Battery (2nd edition). London, UK: Whurr.Google Scholar
Chaves, M. L., & Izquierdo, I. (1992). Differential diagnosis between dementia and depression: A study of efficiency increment. Acta Neurologica Scandinavia, 11, 412429.Google Scholar
Cicchetti, D.V., & Sparrow, S.S. (1981). Developing criteria for establishing interrater reliability of specific items: Applications to assessment of adaptive behavior. American Journal of Mental Deficiency, 86, 127137.Google ScholarPubMed
Collie, A., Shafiq-Antonacci, R., Maruff, P., Tyler, P., & Currie, J. (1999). Norms and the effects of demographic variables on a neuropsychological battery for use in healthy ageing Australian populations. Australian and New Zealand Journal of Psychiatry, 33, 568–75.CrossRefGoogle ScholarPubMed
Côté, H., Moix, V., & Giroux, F. (2004). Évaluation des troubles de la communication des cérébrolésés droits. Rééducation Orthophonique, 219, 107122.Google Scholar
Fleiss, J.L. (1975). Measuring agreement between two judges on the presence or absence of a trait. Biometrics, 31, 651659.CrossRefGoogle ScholarPubMed
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). Mini-mental state. Journal of Psychiatry Resources, 12, 189198.CrossRefGoogle ScholarPubMed
Fonseca, R.P., Côté, H., Joanette, Y., Ska, B., Giroux, F., & Parente, M.A.M.P. (2007). Age and education effects on adults performance in the Brazilian version of Montreal Communication Evaluation Battery – Protocole MEC. Submitted to Archives of Clinical Neuropsychology, 2007. Manuscript submitted for publication.Google Scholar
Fonseca, R.P., Parente, M.A.M.P., Côté, H., & Joanette, Y. (2007). Processo de adaptação da Bateria Montreal de Avaliação da Comunicação – Bateria MAC – ao Português Brasileiro. Psicologia: Reflexão e Crítica, 20, (2), 259267.Google Scholar
Fonseca, R.P., Parente, M.A.M.P., Côté, H., Ska, B., & Joanette, Y. (2008). Bateria Montreal de Avaliação da Comunicação – Bateria MAC. São Paulo: Pró-Fono.Google Scholar
Fratalli, C.M., Thompson, C.M., Holland, A.L., Wohl, C.B., & Ferketic, M.M. (1995). Functional Assessment of Communication Skills for Adults – ASHA FACS. Rockville, MD: ASHA.Google Scholar
IBGE (2003). Instituto Brasileiro de Geografia e Estatística, Censo demográfico 2000. IBGE, Rio de Janeiro.Google Scholar
Jin, H., Folsom, D.P., Lindamer, L., Bailey, A., Hawthorne, W., Garcia, P., & Jeste, D.V. (2003). Patterns of public mental health service use by age in patients with schizophrenia. American Journal of Geriatric Psychiatry, 11, 525533.CrossRefGoogle ScholarPubMed
Joanette, Y., Ska, B., & Côté, H. (2004). Protocole MEC – Protocole Montreál d'Évaluation de la Communication. Montreal, Canada: Ortho Édition.Google Scholar
Lezak, M. D., Howieson, D. B., & Loring, D. W. (2004). Neuropsychological assessment. New York: Oxford University Press.Google Scholar
Mackenzie, C. (2000). Adult spoken discourse: The influences of age and education. International Journal of Communication Disorders, 35, 269285.CrossRefGoogle ScholarPubMed
Myers, P.S. (1999). Right hemisphere damage: Disorders of communication and cognition. San Diego, CA: Singular Publishing Group.Google Scholar
Ostrosky-Solís, F., Ardila, A., & Rosselli, M. (1999). NEUROPSI: A brief neuropsychological test battery in Spanish with norms by age and educational level. Journal of the International Neuropsychological Society, 5, 413433.CrossRefGoogle ScholarPubMed
Parente, M.A.M.P. (1990). Versão brasileira da Escala de Depressão Geriátrica. Unpublished manuscript.Google Scholar
Pasquali, L. (2003). Psicometria: teoria dos testes na psicologia e na educação (1st ed.). Petrópolis, Brazil: Vozes.Google Scholar
Pimental, P.A., & Kingsbury, N.A. (1989). Mini Inventory of Right Brain Injury. Austin, TX: PRO-ED.Google Scholar
Plumet, J.Gil, R., & Gaonac'h, D. (2005). Neuropsychological assessment of executive functions in women: Effects of age and education. Neuropsychology, 19, 566577.CrossRefGoogle ScholarPubMed
Radanovic, M., Mansur, L.L., & Scaff, M. (2004). Normative data for the Brazilian population in the Boston Diagnostic Aphasia Examination: Influence of schooling. Brazilian Journal of Medical and Biological Research, 37, 17311738.CrossRefGoogle ScholarPubMed
Rymarczyk, K., & Grabowska, A. (2007). Sex differences in brain control of prosody. Neuropsychologia, 45, 921930.CrossRefGoogle ScholarPubMed
Sattler, J.M. (2001). Assessment of children: Cognitive applications (4th ed.). San Diego: Jerome M. Sattler.Google Scholar
Schwartz, R.L., Adair, J.C., Rayme, A.M., Williamson, D.J., Crosson, B., Rothi, L.J., Nadeau, S.E., & Heilman, K.M. (2000). Conceptual apraxia in probable Alzheimer's disease as demonstrated by the Florida Action Recall Test. Journal of the International Neuropsychological Society, 6, 265270.CrossRefGoogle ScholarPubMed
Strauss, E., Sherman, E.M.S., & Spreen, O. (2006). A compendium of neuropsychological tests: Administration, norms and commentary (3rd ed.). New York: Oxford University Press.Google Scholar
Tallberg, I.M. (2005). The Boston Naming Test in Swedish: Normative data. Brain and Language, 94, 1931.CrossRefGoogle ScholarPubMed
Urbina, S. (2004). Essentials of psychological testing. Hoboken, NJ: Wiley & Sons.Google Scholar
Van der Elst, W., Van Boxtel, M.P.J., Van Breukelen, G.J.P., & Jolles, J. (2006). Normative data for the animal, profession and letter naming verbal fluency tests for Dutch-speaking participants and the effects of age, education, and sex. Journal of the International Neuropsychological Society, 12, 8089.CrossRefGoogle ScholarPubMed
Yesavage, J. A. (1986). The use of self-rating scales for depression in the elderly. In Poon, L.W. (Ed.), Handbook for clinical memory assessment of older adults (pp. 246368). Washington, DC: American Psychological Association.Google Scholar
Zanini, S., Bryan, K., De Luca, G., & Bava, A. (2005). Italian Right Hemisphere Language Battery: The normative study. Neurological Sciences, 26, 1325.CrossRefGoogle ScholarPubMed