Assessment of Spanish-speakers in English vs Spanish

 
   Lead Investigator:    Steven Verney
   Institution      :    University of New Mexico
   E-Mail           :    sverney@unm.edu
   Proposal ID      :    777


   Publications:


1  Avila JF, Atencio L, Mark M, Gonzalez E, Verney SP
   Intersectionality between Sex and Race on Semantic Memory Trajectories of Black and Non-Hispanic White Older Adults
   Abstract  AAIC 2018,7:P1302,2018,

   PUBLISHED



2  Avila JF, Atencio L, Mark M, Gonzalez E, Verney SP
   Racial Measurement Invariance of the National Alzheimer's Coordinating Centers Uniform Dataset Neuropsychological Battery
   Abstract  AAIC 2018,7:P1482-1483,2018,

   PUBLISHED





   Proposal Description:
   We propose to evaluate the Spanish-speaking participants who were assessed in   English vs those who were assessed in Spanish.  Specifically, we aim to:   1)      Assess for potential differences between groups on neuropsychological test   performance as well as functional status, socio-demographic factors, health   status, and medical risk factors   2)      Examine the relationship between specific aspects of neuropsychological   functioning (e.g., memory, executive functioning) and indicators of current   functional status in Spanish-speaking participants   3)      Characterize potential socio-demographic and medical risk factors that might   influence the relationship between neuropsychological performance and   functional status using advanced statistical modeling techniques among   Spanish-speaking participants   We hypothesize that the Spanish-speaking participants assessed in Spanish will   exhibit lower neuropsychological test scores compared to those assessed in   English. Further, the relationship between neuropsychological performance and   indicators of functional status will be less pronounced for the participants   assessed in Spanish compared to those assessed in English. We also hypothesize   that the relationship between neuropsychological test performance and   functional status will be mitigated by socio-demographic factors, health   status, and medical risk factors across both groups.