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Do reading tests measure the same construct in multiethnic and multilingual older persons?

Published online by Cambridge University Press:  02 February 2007

STEPHANIE COSENTINO ,
JENNIFER MANLY  and
DAN MUNGAS
STEPHANIE COSENTINO
Affiliation:
Gertrude H. Sergievsky Center, Columbia University Medical Center, New York, New York
JENNIFER MANLY
Affiliation:
Gertrude H. Sergievsky Center, Columbia University Medical Center, New York, New York Taub Center for Alzheimer's Disease Research, Columbia University Medical Center, New York, New York Department of Neurology, Columbia University Medical Center, New York, New York
DAN MUNGAS
Affiliation:
Department of Neurology, School of Medicine, University of California-Davis, Sacramento, California Psychology Service, Veterans Affairs, Northern California Health Care System, Martinez, California
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Abstract

A critical focus of neuropsychological research is to identify unbiased ways to compare heterogeneous groups on background variables relevant to neuropsychological performance. Whereas recent work has pointed to single word reading as a less culturally biased measure of educational experience than years of education, the extent to which reading score captures a broad range of educational experience and does so consistently across ethnic and language groups is unknown. The current study evaluated reading in relation to years of education in English-speaking Whites, Blacks, and Hispanics, and Spanish-speaking Hispanic older persons (n = 342). Consistent with previous work, reading scores at each grade level were lower in English speaking ethnic minorities than in Whites, supporting the idea that variables related to lifetime educational experience are often confounded with ethnicity. Standardized reading scores were highest in the Spanish speakers; however, interpretation of this difference is limited because scores were necessarily derived using separate normative samples. Importantly, the slopes of reading score by years of education were comparable across all groups. That is, reading scores rose consistently with years of education independently of ethnicity or language, suggesting that such scores can be treated comparably for theoretical and statistical purposes in multiethnic and multilingual samples. (JINS, 2007, 13, 228–236.)

Keywords

Neuropsychological testingEthnicityEnglishSpanishCultureLanguage
Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 13 , Issue 2 , March 2007 , pp. 228 - 236
Copyright
© 2007 The International Neuropsychological Society

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References

REFERENCES

Anderson, J.D. (1988). The education of blacks in the South, 1960–1935. Chapel Hill, NC: University of North Carolina Press.
Ardila, A. (2005). Cultural values underlying psychometric cognitive testing. Neuropsychology Review, 15, 185–195.Google Scholar
Bentler, P.M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246.Google Scholar
Bentler, P.M. (1995). Eqs structural equations program manual. Encino, CA: Multivariate Software.
Bentler, P.M. & Bonnett, D.G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588–606.Google Scholar
Boekamp, J.R., Strauss, M.E., & Adams, N. (1995). Estimating premorbid intelligence in African-American and White elderly veterans using the American version of the North American Reading Test. Journal of Clinical and Experimental Neuropsychology, 17, 645–653.Google Scholar
Browne, M. & Cudek, R. (1993). Alternate ways of assessing model fit. In K. Bollen & J. Long (Eds.), Testing structural equation models. Thousand Oaks, CA: Sage.
Coleman, J. (1966). Equality of educational opportunity. Washington, D.C.: Government Printing Office.
Crawford, J.R., Parker, D.M., Stewart, L.E., Besson, J.A.O., & De Lacey, G. (1989). Prediction of WAIS IQ with the National Adult Reading Test: Cross-validation and extension. British Journal of Psychology, 27, 181–182.Google Scholar
Cudek, R. & Browne, M.W. (1983). Cross-validation of covariance structures. Multivariate Behavioral Research, 18, 147–167.Google Scholar
Del Ser, T., Gonzalez-Montalvo, J., Martinez-Espinosa, S., Delgado-Villapalos, C., & Bermejo, F. (1997). Estimation of premorbid intelligence in Spanish people with the Word Accentuation Test and its application to the diagnosis of dementia. Brain and Cognition, 33, 343–356.Google Scholar
Geertz, C. (2000). Interpretation of Culture. New York: Basic Books.
Grober, E. & Sliwinski, M. (1991). Development and validation of a model for estimating premorbid verbal intelligence in the elderly. Journal of Clinical and Experimental Neuropsychology, 13, 933–949.Google Scholar
Hanushek, E. (1989). The impact of differential expenditures on school performance. Educational Researcher, 18, 45–51.Google Scholar
Hart, S., Smith, C.M., & Swash, M. (1986). Assessing intellectual deterioration. British Journal of Clinical Psychology, 25, 119–124.Google Scholar
Heaton, R.K., Ryan, L., Grant, I., & Matthews, C.G. (1996). Demographic influences on neuropsychological test performance. In I. Grant & K.M. Adams (Eds.), Neuropsychological assessment of neuropsychiatric disorders (2nd ed.). New York: Oxford University Press.
Hedges, L.V., Laine, R.D., & Greenwald, R. (1994). Does money matter? A meta-analysis of studies of the effects of differential school inputs on student outcomes. Educational Researcher, 23, 5–14.Google Scholar
Howeison, D.B., Loring, D.W., & Hannay, H.J. (2004). Neurobehavioral Variables and diagnostic issues. In M.D. Lezak, D.B. Howeison, & D.W. Loring (Eds.), Neuropsychological Assessment. New York: Oxford University Press.
Hu, L. & Bentler, P.M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparametrized model misspecification. Psychological Methods, 3, 424–453.Google Scholar
Joreskog, K.G. & Sorbom, D. (1981). Lisrel v: Analysis of linear structural relationships by the method of maximum likelihood. Chicago, IL: National Educational Resources.
Kaufman, J.S., Cooper, R.S., & McGee, D.L. (1997). Socioeconomic status and health in blacks and whites: The problem of residual confounding and resilience of race. Epidemiology, 8, 621–628.Google Scholar
Lichtenberg, P.A., Ross, T., & Christensen, B. (1994). Preliminary normative data on the Boston Naming Test for an older urban population. Clinical Neuropsychologist, 8, 109–111.Google Scholar
Loewenstein, D.A., Arguelles, T., Arguelles, S., & Linn-Fuentes, P. (1994). Potential culture bias in the neuropsychological assessment of the older adult. Journal of Clinical and Experimental Neuropsychology, 16, 623–629.Google Scholar
MacCallum, R.C. & Austin, J.T. (2000). Applications of structural equation modeling in psychological research. In S.K. Fiske, D.L. Schacter, & C. Zahn-Waxler (Eds.), Annual review of psychology. Palo Alto, CA: Annual Reviews.
Manly, J.J., Jacobs, D.M., Sano, M., Bell, K., Merchant, C.A., Small, S.A., & Stern, Y. (1998a). Cognitive test performance among nondemented elderly African Americans and Whites. Neurology, 50, 1238–1245.Google Scholar
Manly, J.J., Jacobs, D.M., Touradji, P., Small, S.A., & Stern, Y. (2002). Reading level attenuates differences in neuropsychological test performance between African American and White elders. Journal of the International Neuropsychological Society, 8, 341–348.Google Scholar
Manly, J.J., Miller, S.W., Heaton, R.K., Byrd, D., Reilly, J., Velasquez, R.J., Saccuzzo, D.P., & Grant, I. (1998b). The effect of African-American acculturation on neuropsychological test performance in normal and HIV-positive individuals. The HIV Neurobehavioral Research Center (HNRC) Group. Journal of the International Neuropsychological Society, 4, 291–302.Google Scholar
Mungas, D., Reed, B.R., Tomaszewski Farias, S., & DeCarli, C. (2005). Criterion-referenced validity of a neuropsychological test battery: Equivalent performance in elderly Hispanics and non-Hispanic Whites. Journal of the International Neuropsychol ogical Society, 11, 620–630.Google Scholar
Muthen, L.K. & Muthen, B.O. (1998). Mplus User's Guide (2nd ed.). Los Angeles, CA: Muthen & Muthen.
Muthen, L.K. & Muthen, B.O. (2004). Mplus User's Guide (3rd ed.). Los Angeles, CA: Muthen & Muthen.
Nelson, H.E. (1982). The National Adult Reading Test (NART): Test Manual. Windsor, Berks, U.K.: NFER-Nelson.
Nelson, H.E. & O'Connell, A. (1978). Dementia: The estimation of premorbid intelligence levels using the New Adult Reading Test. Cortex, 14, 234–244.Google Scholar
O'Carroll, R.E. & Gilleard, C.J. (1986). Estimation of premorbid intelligence in dementia. British Journal of Clinical Psychology, 25, 157–158.Google Scholar
O'Neill, J. (1990). The role of human capitol in earning differences between Black and White men. Journal of Economic Perspectives, 4, 25–45.Google Scholar
Patterson, K., Graham, N., & Hodges, J.R. (1994). Reading in dementia of the Alzheimer's Type: A preserved ability? Neuropsychology, 3, 395–407.Google Scholar
Sharpe, K. & O'Carroll, R.E. (1991). Estimating premorbid intellectual level in dementia using the National Adult Reading Test: A Canadian study. British Journal of Clinical Psychology, 30, 381–384.Google Scholar
Smith, J.P. (1984). Race and human capital. American Economic Review, 4, 685–698.Google Scholar
Smith, J.P. & Welch, F. (1977). Black-White male wage ratios: 1960–1970. American Economic Review, 67, 323–328.Google Scholar
Storandt, M., Stone, K., & LaBarge, E. (1995). Deficits in reading performance in very mild dementia of the Alzheimer type. Neuropsychology, 9, 174–176.Google Scholar
Taylor, K.I., Salmon, D.P., Rice, V.A., Bondi, M.W., Hill, L.R., Ernesto, C.R., & Butters, N. (1996). Longitudinal examination of American National Adult Reading Test (AMNART) performance in dementia of the Alzheimer type (DAT): Validation and correction based on degree of cognitive decline. Journal of Clinical and Experimental Neuropsychology, 18, 883–891.Google Scholar
Tucker, L.R. & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1–10.Google Scholar
Whitfield, K.E. & Baker-Thomas, T. (1999). Individual differences in aging minorities. International Journal of Aging and Human Development, 48, 73–79.Google Scholar
Wilkinson, G.S. (1993). Wide Range Achievement Test 3—Administration manual. Wilmington, DE: Jastak Associates, Inc.