TY - JOUR
AU - Arango-Lasprilla, Juan Carlos
AB - BACKGROUND:Hispanics are the largest growing ethnic minority group in the U.S. Despite significant progress in providing norms for this population, updated normative data are essential.OBJECTIVE:To present the methodology for a study generating normative neuropsychological test data for Spanish-speaking adults living in the U.S. using Bayesian inference as a novel approach.METHODS:The sample consisted of 253 healthy adults from eight U.S. regions, with individuals originating from a diverse array of Latin American countries. To participate, individuals must have met the following criteria: were between 18 and 80 years of age, had lived in the U.S. for at least 1 year, self-identified Spanish as their dominant language, had at least one year of formal education, were able to read and write in Spanish at the time of evaluation, scored≥23 on the Mini-Mental State Examination, <10 on the Patient Health Questionnaire– 9, and <10 on the Generalized Anxiety Disorder scale. Participants completed 12 neuropsychological tests. Reliability statistics and norms were calculated for all tests.CONCLUSION:This is the first normative study for Spanish-speaking adults in the U.S. that uses Bayesian linear or generalized linear regression models for generating norms in neuropsychology, implementing sociocultural measures as possible covariates.
TI - Methodology for the generation of normative data for the U.S. adult Spanish-speaking population: A Bayesian approach
JF - NeuroRehabilitation
DO - 10.3233/nre-240149
DA - 2024-10-01
UR - https://www.deepdyve.com/lp/ios-press/methodology-for-the-generation-of-normative-data-for-the-u-s-adult-OmZuDnhgfi
SP - 155
EP - 167
VL - 55
IS - 2
DP - DeepDyve
ER -