Literature DB >> 7722601

Item bias in cognitive screening measures: comparisons of elderly white, Afro-American, Hispanic and high and low education subgroups.

J A Teresi1, R R Golden, P Cross, B Gurland, M Kleinman, D Wilder.   

Abstract

A study of item bias in standard cognitive screening measures was conducted in a sample of Afro-American, Hispanic and non-Hispanic white elderly respondents who were part of a dementia case registry study. The methods of item-response theory were applied to identify biased items. Both cross-cultural and high and low education groups were examined to determine which items were biased. Out of 50 cognitive items examined from six widely used cognitive screening measures, 16 were identified as biased for either high and low education groups or ethnic/racial group membership.

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Year:  1995        PMID: 7722601     DOI: 10.1016/0895-4356(94)00159-n

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  30 in total

1.  The relationship between education level and mini-mental state examination domains among older Mexican Americans.

Authors:  Diana Matallana; Cecilia de Santacruz; Carlos Cano; Pablo Reyes; Rafael Samper-Ternent; Kyriakos S Markides; Kenneth J Ottenbacher; Carlos A Reyes-Ortiz
Journal:  J Geriatr Psychiatry Neurol       Date:  2010-06-10       Impact factor: 2.680

2.  Are clinical diagnoses of Alzheimer's disease and other dementias affected by education and self-reported race?

Authors:  Jeanne A Teresi; Ellen Grober; Joseph P Eimicke; Amy R Ehrlich
Journal:  Psychol Assess       Date:  2012-02-06

3.  Racial/ethnic differences in responses to the everyday discrimination scale: a differential item functioning analysis.

Authors:  Tené T Lewis; Frances M Yang; Elizabeth A Jacobs; George Fitchett
Journal:  Am J Epidemiol       Date:  2012-02-03       Impact factor: 4.897

4.  Black and white differences in cognitive function test scores: what explains the difference?

Authors:  Kala M Mehta; Eleanor M Simonsick; Ronica Rooks; Anne B Newman; Sandra K Pope; Susan M Rubin; Kristine Yaffe
Journal:  J Am Geriatr Soc       Date:  2004-12       Impact factor: 5.562

Review 5.  Measurement issues in health disparities research.

Authors:  Mildred Ramírez; Marvella E Ford; Anita L Stewart; Jeanne A Teresi
Journal:  Health Serv Res       Date:  2005-10       Impact factor: 3.402

6.  Assessment of differential item functioning for demographic comparisons in the MOS SF-36 health survey.

Authors:  Anthony J Perkins; Timothy E Stump; Patrick O Monahan; Colleen A McHorney
Journal:  Qual Life Res       Date:  2006-04       Impact factor: 4.147

7.  Identification of dementia: agreement among national survey data, medicare claims, and death certificates.

Authors:  Truls Ostbye; Donald H Taylor; Elizabeth C Clipp; Lynn Van Scoyoc; Brenda L Plassman
Journal:  Health Serv Res       Date:  2008-02       Impact factor: 3.402

8.  "Below average" self-assessed school performance and Alzheimer's disease in the Aging, Demographics, and Memory Study.

Authors:  Kala M Mehta; Anita L Stewart; Kenneth M Langa; Kristine Yaffe; Sandra Moody-Ayers; Brie A Williams; Kenneth E Covinsky
Journal:  Alzheimers Dement       Date:  2009-09       Impact factor: 21.566

9.  Cognitive decline and cardiometabolic risk among Hispanic and non-Hispanic white adults in the San Luis Valley Health and Aging Study.

Authors:  Kerry L Hildreth; Jim Grigsby; Lucinda L Bryant; Pamela Wolfe; Judith Baxter
Journal:  J Behav Med       Date:  2013-01-18

10.  Measurement differences in depression: chronic health-related and sociodemographic effects in older Americans.

Authors:  Frances M Yang; Richard N Jones
Journal:  Psychosom Med       Date:  2008-11-03       Impact factor: 4.312

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