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Factor structure of the CERAD neuropsychological battery

Published online by Cambridge University Press:  01 July 2004

MILTON E. STRAUSS
Affiliation:
Department of Psychology, Case Western Reserve University, Cleveland, Ohio University Memory and Aging Center of University Hospitals of Cleveland and Case Western Reserve University, Cleveland, Ohio
THOMAS FRITSCH
Affiliation:
University Memory and Aging Center of University Hospitals of Cleveland and Case Western Reserve University, Cleveland, Ohio Department of Neurology, Case Western Reserve University School of Medicine, Cleveland, Ohio

Abstract

The Consortium to Establish a Registry for Alzheimer's Disease (CERAD) neuropsychological battery was developed to evaluate cognitive impairments associated with Alzheimer's disease (AD). Previous studies have suggested that the battery is multi-dimensional, represented by either 3 or 5 dimensions. In this study a principal factor analysis was conducted using contemporary quantitative methods for determining the number of factors. Exploratory factor analysis of the CERAD battery and MMSE was conducted using one-half of the CERAD database (total N = 969). Glorfeld's modification of Horn's parallel analysis method suggested that there was 1 common factor in the variable matrix. Characterization of patterns of deficits in AD requires supplementation of measures derived from the CERAD and MMSE with other tests. (JINS, 2004, 10, 559–565.)

Type
Research Article
Copyright
2004 The International Neuropsychological Society

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References

REFERENCES

Bollen, K.A. (1989). Structural equations with latent variables. New York: Wiley.
Campbell, D.T. & Fiske, D.W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81105.CrossRefGoogle Scholar
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, 568575.CrossRefGoogle Scholar
Fillenbaum, G.G., Unverzagt, F.W., Ganguli, M., Welsh-Bohmer, K.A., & Heyman, A. (2002). The CERAD Neuropsychological Battery: Performance of representative community and tertiary care samples of African-American and European-American elderly. In F.R. Ferraro (Ed.), Minority and cross-cultural aspects of neuropsychological assessment (pp. 4577). Lisse, NL: Swets & Zeitlinger.
Fisher, N.J., Rourke, B.P., & Bieliauskas, L.A. (1999). Neuropsychological subgroups of patients with Alzheimer's disease: An examination of the first 10 years of CERAD data. Journal of Clinical and Experimental Neuropsychology, 21, 488518.CrossRefGoogle Scholar
Floyd, F. & Widaman, K. (1995). Factor analysis in the development and refinement of clinical assessment instruments. Psychological Assessment, 7, 286299.CrossRefGoogle Scholar
Folstein, M.F., Folstein, S.E., & McHugh, P.R. (1975). ‘Mini-Mental State’: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189198.CrossRefGoogle Scholar
Garner, W.R., Hake, H.W., & Eriksen, C.W. (1956). Operationism and the concept of perception. Psychological Review, 63, 149159.CrossRefGoogle Scholar
Glorfeld, L.W. (1995). An improvement on Horn's parallel analysis methodology for selecting the correct number of factors to retain. Educational and Psychological Measurement, 55, 377393.CrossRefGoogle Scholar
Gorsuch, R.L. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Erlbaum.
Horn, J.L. (1965). A rationale and test for the number of factors in a factor analysis. Psychometrika, 30, 179185.CrossRefGoogle Scholar
Hughes, C.P., Berg, L., Danziger, W., Coben, L.A., & Martin, R.L. (1982). A new clinical scale for the staging of dementia. British Journal of Psychiatry, 140, 566572.CrossRefGoogle Scholar
Jones, R.N. & Gallo, J.J. (2000). Dimensions of the Mini-Mental State Examination among community dwelling older adults. Psychological Medicine, 30, 605618.CrossRefGoogle Scholar
Kaufman, A. (1990). Assessing adolescent and adult intelligence. Boston: Allyn & Bacon.
Lowenstein, D.A., Ownby, R., Schram, L., Acevedo, A., Rubert, M., & Argüelles, T. (2001). An evaluation of the NINCDS-ADRDA neuropsychological criteria for the assessment of Alzheimer's disease: A confirmatory factor analysis of single versus multi-factor models. Journal of Clinical and Experimental Neuropsychology, 23, 274284.Google Scholar
McGurk, S.R., Moriarity, P.J., Harvey, P.D., Parrella, M., White, L., & Davis, K.L. (2000). The longitudinal relationship of clinical symptoms, cognitive functioning, and adaptive life in geriatric schizophrenia. Schizophrenia Research, 42, 4755.CrossRefGoogle Scholar
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E.M. (1984). Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group under the auspices of the Department of Health and Human Services Task Force on Alzheimer's disease. Neurology, 34, 939944.CrossRefGoogle Scholar
Morris, J.C., Edland, S., Clark, C., Galasko, D., Koss, E., Mohs, R., van Belle, G., Fillenbaum, G., & Heyman, A. (1993). The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part IV. Ratings of cognitive change in the longitudinal assessment of probable Alzheimer's disease. Neurology, 43, 24572465.Google Scholar
Morris, J.C., Heyman, A., Mohs, R.C., Hughes, J.P., van Belle, G., Fillenbaum, G., Mellits, E.D., & Clark, C. (1989). The Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Part I. Clinical and neuropsychological assessment of Alzheimer's disease. Neurology, 39, 11591165.Google Scholar
O'Connor, B.P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test. Behavior Research Methods, Instruments & Computers, 32, 396402.CrossRefGoogle Scholar
Paradiso, S., Lamberty, G.J., Garvey, M.J., & Robinson, R.G. (1997). Cognitive impairment in the euthymic phase of chronic unipolar depression. Journal of Nervous and Mental Disease, 185, 748754.CrossRefGoogle Scholar
Rummel, R.J. (1970). Applied factor analysis. Evanston, IL: Northwestern University Press.
Strauss, M.E. & Summerfelt, A. (2002). The neuropsychological study of schizophrenia: A methodological perspective. In M.F. Lenzenweger & J.M. Hooley (Eds.), Principles of experimental psychopathology: Essays in honor of Brendan A. Maher (pp. 119134). Washington, DC: American Psychological Association.
Strauss, M.E., Thompson, P.T., Adams, N.L., Redline, S., & Burandt, C. (2000). Evaluation of a model of attention with confirmatory factor analysis. Neuropsychology, 14, 201208.CrossRefGoogle Scholar
Tabachnick, B.G. & Fidell, L.S. (1996). Using multivariate statistics (3rd ed.). Boston: Allyn & Bacon.
Welsh, K.A., Butters, N., Hughes, J., Mohs, R., & Heyman, A. (1991). Detection of abnormal memory in mild cases of Alzheimer's disease using CERAD neuropsychological measures. Archives of Neurology, 48, 278281.CrossRefGoogle Scholar
Welsh, K.A., Butters, N., Hughes, J., Mohs, R., & Heyman, A. (1992). Detection and staging of dementia in Alzheimer's disease: Use of the neuropsychological measures developed for the Consortium to Establish a Registry for Alzheimer's Disease (CERAD). Archives of Neurology, 49, 448452.CrossRefGoogle Scholar
Welsh-Bohmer, K. & Mohs, R.C. (1997). Neuropsychological assessment of Alzheimer's disease. Neurology, 49(Suppl. 3), S11S13.CrossRefGoogle Scholar
Xavier, F.M., Ferraz, M.P., Trenti, C.M., Argimon, I., Bertolucci, P.H., Poyares, D., & Moriguchi, E.H. (2001). Generalized anxiety disorder in a population aged 80 years and older. Revisita de Saude Publica, 35, 294302.CrossRefGoogle Scholar
Zwick, W.R. & Velicer, W.F. (1986). Comparisons of five rules for determining the number of components to retain. Psychological Bulletin, 99, 432442.CrossRefGoogle Scholar