Hostname: page-component-cd9895bd7-7cvxr Total loading time: 0 Render date: 2024-12-27T14:15:26.241Z Has data issue: false hasContentIssue false
  • English
  • Français

Construct validity of the Neuropsychological Screening Battery for Hispanics (NeSBHIS) in a neurological sample

Published online by Cambridge University Press:  01 March 2009

H. ALLISON BENDER ,
JEFFREY R. COLE ,
MYRELIS APONTE-SAMALOT ,
DANIEL CRUZ-LAUREANO ,
LORNA MYERS ,
BLANCA R. VAZQUEZ  and
WILLIAM B. BARR
H. ALLISON BENDER*
Affiliation:
Department of Neurology, Comprehensive Epilepsy Center, New York University Langone Medical Center, New York, New York
JEFFREY R. COLE
Affiliation:
Department of Neurology, Comprehensive Epilepsy Center, Columbia University Medical Center, New York, New York
MYRELIS APONTE-SAMALOT
Affiliation:
Department of Neurology, Comprehensive Epilepsy Center, New York University Langone Medical Center, New York, New York Ponce School of Medicine, Ponce, Puerto Rico
DANIEL CRUZ-LAUREANO
Affiliation:
Department of Neurology, Comprehensive Epilepsy Center, New York University Langone Medical Center, New York, New York Ponce School of Medicine, Ponce, Puerto Rico
LORNA MYERS
Affiliation:
Northeast Regional Epilepsy Group, New York, New York
BLANCA R. VAZQUEZ
Affiliation:
Department of Neurology, Comprehensive Epilepsy Center, New York University Langone Medical Center, New York, New York
WILLIAM B. BARR
Affiliation:
Department of Neurology, Comprehensive Epilepsy Center, New York University Langone Medical Center, New York, New York
*
*Correspondence and reprint requests to: H. Allison Bender, Ph.D., New York University Langone Medical Center, Comprehensive Epilepsy Center, Neuropsychology Service, 223 East 34th Street, New York, NY 10016. E-mail: Heidi.Bender@nyumc.org
Get access Rights & Permissions [Opens in a new window]

Abstract

Epidemiological studies suggest that the Hispanic population is at increased risk for neurological disorders. Yet, few assessment measures have been developed for, adapted to, or normalized with Spanish-speakers. The Neuropsychological Screening Battery for Hispanics (NeSBHIS) was developed to address the lack of resources available to this underserved community. Although the NeSBHIS possesses robust construct validity and clinical utility in a community-based sample, these properties remain largely untested in neurological populations. One hundred and twenty-seven Spanish-speaking Hispanic patients with confirmed epilepsy (mean age = 37.8, SD = 13.3) were evaluated using the NeSBHIS. All participants self-identified as “Hispanic” and immigrated from Spanish-speaking countries. Data were analyzed using confirmatory factor analysis with the a priori assumption that variables would load according to theoretical expectations reported by Pontón and colleagues (2000). The overall model fit indices were in the desired range: Comparative Fit Index = 0.936, Tucker Lewis Index = 0.915, RMSEA = 0.090, and SRMR = 0.069. All NeSBHIS subtests loaded significantly (p < .001) on their respective factors; the standardized loadings were high, ranging from 0.562 to 0.995, with the exception of Block Design (–0.308). Overall, findings suggest that the NeSBHIS has robust construct validity in a neurological sample. (JINS, 2009, 15, 217–224.)

Keywords

HispanicsSpanishLatinosImmigrantsEpilepsyPsychometrics
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 15 , Issue 2 , March 2009 , pp. 217 - 224
Copyright
Copyright © INS 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Allison, P.D. (2002). Missing data. Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
Ardila, A. (1995). Directions of research in cross-cultural neuropsychology. Journal of Clinical and Experimental Neuropsychology, 17(1), 143–150.CrossRefGoogle ScholarPubMed
Benton, A.L. (1984). Constructional apraxia: An update. Seminars in Neurology, 4, 220–222.CrossRefGoogle Scholar
Benton, A.L. & Hamsher, K. (1976). Multilingual Aphasia Examination. Iowa City, IA: University of Iowa Press.Google Scholar
Bollen, K.A. (1989). Structural equations with latent variables. New York: Wiley.CrossRefGoogle Scholar
Bornstein, R.A., Drake, M.E. Jr, & Pakalnis, A. (1988). WAIS-R factor structure in epileptic patients. Epilepsia, 29(1), 14–18.CrossRefGoogle ScholarPubMed
Burgess, P.W., Alderman, N., Evans, J., Emslie, H., & Wilson, B.A. (1998). The ecological validity of tests of executive function. Journal of the International Neuropsychological Society, 4, 547–558.CrossRefGoogle ScholarPubMed
Burgess, P.W. & Wood, R.Ll. (1990). Neuropsychology of behaviour disorders following brain injury. In Wood, R.Ll. (Ed.), Neurobehavioural sequelae of Traumatic Brain Injury. 110–132. London: Taylor & Francis.Google Scholar
Census, U.S. Bureau of the Census. (2000). Statistical abstract of the United States: 2000.Google Scholar
Cohen, R.A. (1969). Conceptual styles, culture conflict, and nonverbal tests of intelligence. American Anthropologist, 71(5)828–856.CrossRefGoogle Scholar
Commission on Classification and Terminology of the International League Against Epilepsy. Proposal for revised classification of epilepsies and epileptic syndromes. (1989). Epilepsia, 30, 389–399.CrossRefGoogle Scholar
D’Elia, F., Satz, P., & Uchiyama, C. (1994). Color Trails: Adult form manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
Dempster, A.P., Laird, N.M., & Rubin, D.B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B (Methodological), 39(1), 1–38.CrossRefGoogle Scholar
Graham, J.W., Cumsille, P.E., & Elek-Fisk, E. (2003). Methods for handling missing data. In Weiner, I.B., Freedheim, D.K., Schinka, J.A., and Velicer, W.F.. (Eds.), Handbook of psychology, (pp. 13–63). New York: Wiley.Google Scholar
Graham, J.W., Hofer, S.M., & Piccinin, A.M. (1994). Analysis with missing data in drug prevention research. Rockville, MD: National Institute on Drug Abuse.CrossRefGoogle ScholarPubMed
Graham, J.W. & Schafer, J.L. (1999). On the performance of multiple imputations for multivariate data with small sample size. In Hoyle, R.H. (Ed.), Statistical Strategies for Small Sample Research, (pp. 1–29). Thousand Oaks, CA: Sage.Google Scholar
Hanna-Pladdy, B., Mendoza, J.E., Apostolos, G.T., & Heilman, K.M. (2002). Lateralised motor control: Hemispheric damage and the loss of deftness. Journal of Neurology, Neurosurgery and Psychiatry, 73, 574–577.CrossRefGoogle ScholarPubMed
Hoyle, R.H. & Panter, A.T. (1995). Writing about structural equation models. London: Sage.Google Scholar
Hu, L. & Bentler, P.M. (1995). Evaluating model fit. In Hoyle, R.H. (Ed.), Structural Equation Modeling: Concepts, Issues, and Applications, (pp. 76–99). London: Sage.Google Scholar
Hu, L. & Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.CrossRefGoogle Scholar
Hulland, J., Chow, Y.H., & Lam, S. (1996). Use of causal models in marketing research: A review. International Journal of Research in Marketing, 13(2), 181–197.CrossRefGoogle Scholar
Kaplan, E.F., Goodglass, H., & Weintraub, S. (1983). The Boston Naming Test. Philadelphia: Lea & Febiger.Google Scholar
Little, R.J.A. & Rubin, D.B. (1986). Statistical analysis with missing data. New York: Wiley.Google Scholar
MacCallum, R.C., Browne, M.W., & Sugawara, H.M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2) 130–149.CrossRefGoogle Scholar
Maj, M., D’Elia, L., Satz, P., Janssen, R., Zaudig, M., Uchiyama, C., Starace, F., Galderisi, S., & Chervinsky, A. (1993). Evaluation of two new neuropsychological tests designed to minimize cultural bias in the assessment of HIV-1 seropositive persons: A WHO study. Archives of Clinical Neuropsychology, 8(2), 123–135.CrossRefGoogle Scholar
Maj, M., Satz, P., Janssen, R., Zaudig, M., Starace, F., D’Elia, L., Sughondhabirom, B., Mussa, M., Naber, D., Ndetei, D., Schulte, G., & Sartorious, N. (1994b). WHO Neuropsychiatric AIDS study, cross-sectional Phase II: Neuropsychological and neurological findings. Archives of General Psychiatry, 51(1), 51–61CrossRefGoogle ScholarPubMed
Manly, J.J., Miller, S.W., Heaton, R.K., Byrd, D., Reilly, J., Velasquez, R.J., Saccuzzo, D.P., & Grant, I.and the HIV Neurobehavioral Research Center (HNRC) Group. (1998). The effect of African-American acculturation on neuropsychological test performance in normal and HIV-positive individuals. Journal of the International Neuropsychological Society, 4, 291–302.CrossRefGoogle ScholarPubMed
Matthews, C.G. & Klove, H. (1964). Instruction Manual for the Adult Neuropsychology Test Battery. Madison, WI: University of Wisconsin Medical School.Google Scholar
Muthén, B. & Muthén, L.K. (2006). MPlus (Version 4.2). Los Angeles, CA: Statmodel.Google Scholar
Myers, L., Barr, W.B., Vazquez, B., & Devinsky, O. (2003). An effective neuropsychological screening battery for Hispanic epilepsy patients. The Clinical Neuropsychologist, 17, 92.Google Scholar
Myers, L.V., Barr, W.B., Benitez, J.L., Ritaccio, A., & Vazquez, B. (2002). The utility of a novel neuropsychological screening battery for Hispanics (NESBHIS) with Spanish-speaking epilepsy patients. Epilepsia, 43, 185.Google Scholar
Nagahama, Y., Okina, T., Suzuki, N., Matsuzaki, S., Yamauchi, H., Nabatame, H., & Matsuda, M. (2003). Factor structure of a modified version of the wisconsin card sorting test: an analysis of executive deficit in Alzheimer’s disease and mild cognitive impairment. Dementia and Geriatric Cognitive Disorders, 16(2), 103–112.CrossRefGoogle ScholarPubMed
Osterrieth, P.A. (1944). Le test de copie d’une figure complex: Contribution a l’ etude de la perception et de la memoire. Archives de Psychologie, 30, 286–356.Google Scholar
Pontón, M.O., Gonzalez, J.J., Hernandez, I., Herrera, L., & Higareda, I. (2000). Factor analysis of the Neuropsychological Screening Battery for Hispanics (NeSBHIS). Applied Neuropsychology, 7(1), 32–39.CrossRefGoogle ScholarPubMed
Pontón, M.O., Satz, P., Herrera, L., Ortiz, F., Urrutia, C.P., Young, R., D’Elia, L.F., Furst, C.J., & Namerow, N. (1996). Normative data stratified by age and education for the Neuropsychological Screening Battery for Hispanics (NeSBHIS): Initial report. Journal of the International Neuropsychological Society, 2(2), 96–104.CrossRefGoogle ScholarPubMed
Pontón, M.O., Satz, P., Herrera, L., Young, R., Ortiz, F., D’Elia, L., Furst, C., & Namerow, N. (1992). Modified Spanish version of the Boston Naming Test. Clinical Neuropsychologist, 3(6), 334.Google Scholar
Rabin, L.A., Barr, W.B., & Burton, L.A. (2005). Assessment practices of clinical neuropsychologists in the United States and Canada: A survey of INS, NAN, and APA Division 40 members. Archives of Clinical Neuropsychology, 20(1), 33–65.CrossRefGoogle Scholar
Raven, J., Raven, J.C., & Court, J.H. (1993). Manual for the Raven’s Progressive Matrices and Vocabulary scales. Oxford, UK: Oxford Psychologists Press.Google Scholar
Roberts, R.J. & Hamsher, K.D. (1984). Effects of minority status on facial recognition and naming performance. Journal of Clinical Psychology, 40(2), 539–545.3.0.CO;2-8>CrossRefGoogle ScholarPubMed
Rodriguez-Aranda, C. & Sundet, K. (2006). The frontal hypothesis of cognitive aging: Factor structure and age effects on four frontal tests among healthy individuals. The Journal of Genetic Psychology, 167(3), 269–287.CrossRefGoogle ScholarPubMed
Rubin, D.B. (1987). Multiple imputations for nonresponse in surveys. New York: Wiley.CrossRefGoogle Scholar
Satz, P. & D’Elia, L.F. (1989). The Pin Test: Professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
Strauss, E.M.S., 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
Taylor, E.M. (1959). Psychological appraisal of children with cerebral defects. Cambridge, MA: Harvard University Press.CrossRefGoogle Scholar
U.S. Bureau of the Census (2003). The Hispanic Population in the United States: March 2002. Current Population Report. P20–545. Washington, D.C.Google Scholar
Wayman, J.C. (2003). Multiple imputation for missing data: What is it and how can I use it? Paper presented at the 2003 Annual Meeting of the American Educational Research Association, Chicago, IL.Google Scholar
Wechsler, D. (1981). Wechsler Adult Intelligence Scale–Revised. San Antonio, TX: Psychological Corporation.Google Scholar
Wechsler, D., Green, R.F., & Martinez, J.N. (1968). Manual para la Escala de Inteligencia Wechsler para Adultos (EIWA). Cleveland, OH: Psychological Corporation.Google Scholar
Wong, T.M., Strickland, T.L., Fletcher-Janzen, E., Ardila, A., & Reynolds, C.R. (2000). Theoretical and practical issues in the neuropsychological assessment and treatment of culturally dissimilar patients. In Fletcher-Janzen, E., Strickland, T.L., & Reynolds, C.R. (Eds.), Handbook of Cross-Cultural Neuropsychology, (pp. 3–18). New York: Kluwer Academic.CrossRefGoogle Scholar