Educational and Gender Normative Data for the Boston Naming Test in a Group of Older Adults

Welch, Larry W.; Doineau, Deborah; Johnson, Sherry; King, D.E.

doi:10.1006/brln.1996.0047

Cited by 102 publications

(70 citation statements)

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“…This study supports the findings of Welch et al (1996), Worrall et al (1995), Neils et al (1995), andHawkins et al (1993) studies that education level and BNT scores have a relationship. Welch et al, Worrall et a/.…”

Section: Education Levelsupporting

confidence: 91%

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Race, gender, and educational level effects on Boston Naming Test scores

et al. 1998

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The Boston Naming Test is designed to identify word retrieval problems; however, normative data for this test are limited. One hundred subjects participated in this study to examine race, gender, and educational level effects on test scores. Subjects included 25 African American males, 25 African American females, 25 Caucasian males, and 25 Caucasian females with no neurologic impairment from a wide age range. Race and gender did not have a significant effect on test scores; however, educational level had an effect on the number of correct responses. Subjects with more years of education were determined to have exposure to a wider vocabulary base which was credited with the higher test scores.

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Section: Education Levelsupporting

confidence: 91%

“…(1986), Armstrong and Walker (1994), Lichtenberg eta/. (1994), and Welch et al (1996). None of these studies reported that gender affected BNT scores.…”

Section: Gendermentioning

confidence: 99%

Race, gender, and educational level effects on Boston Naming Test scores

et al. 1998

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“…Robust effects of demographic variables were found on performance on the extended, Greek-adapted versions of the three tests with stronger effects of level of formal education (Simos, Kaselimis, & Mouzaki, 2010 this issue 1 ), in agreement with previous studies in other languages and cultures (e.g., Borod, Goodglass, & Kaplan, 1980;Ivnik, Malec, Smith, Tangalos, & Petersen, 1996;Lansing et al, 1999;Piguet et al, 2001;Ross et al, 1995;Tombaugh & Hubley, 1997;Welch, Doineau, Johnson, & King, 1996;Worrall, Yiu, Hickson, & Barnett, 1995) than age (Au et al, 1995;Hawkins & Bender, 2002).…”

Section: Please Scroll Down For Articlesupporting

confidence: 86%

Effects of demographic variables and health status on brief vocabulary measures in Greek

2010

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Background: Assessment of lexical/semantic knowledge is essential on a number of diagnostic situations. Since more than one test is typically required, brief assessments would be useful as part of an extensive neuropsychological battery. Aims: The present study reports the effects of demographic variables and reported health status on performance on the short forms of three such tests adapted into Greek. Methods & Procedures:Tests used were PPVT-R, WASI Vocabulary subtest, and BNT. The sample consisted of 468 community-dwelling adults aged 50-84 years.Outcomes & Results: Short forms consisted of 32 items for the PPVT-R, 15 items for WASI Vocabulary, and 20 items for BNT. Correlation coefficients between full and short forms ranged between .95 and .97. Total rate of inconsistent classification of persons with very low scores (lower than 2 SD below the population mean) based on the short forms was less than 3%, highlighting adequate potential sensitivity for clinical purposes. The equivalence of the two versions of each test was further attested by similar patterns of relationships with demographic variables. Indices of internal consistency and testretest reliability were very good for each of the three tests. Finally, the sensitivity of the short forms of each test for detecting lexical/semantic deterioration as a function of systemic diseases is discussed.

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“…In this sample, males and females on average obtained similar Verbal Naming Test scores, although prior work (Randolph et al, 1999;Welch, Doineau, Johnson, & King, 1996;Zec, Burkett, Markwell, & Larsen, 2007) has found males and females to perform differently on the BNT. Future research with larger numbers of men and women varying in age, education, and ethnicity will determine if there is differential item functioning based on these demographic variables and the measure's generalizability to patients with diverse ethnic, educational, and socioeconomic backgrounds.…”

Section: Discussionmentioning

confidence: 50%

Verbal Naming Test for Use with Older Adults: Development and Initial Validation

Yochim

Beaudreau

Fairchild

et al. 2015

J Int Neuropsychol Soc

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Naming or word-finding tasks are a mainstay of the typical neuropsychological evaluation, particularly with older adults. However, many older adults have significant visual impairment and there are currently no such word-finding tasks developed for use with older visually impaired populations. This study presents a verbal, non-visual measure of word-finding for use in the evaluation of older adults with possible dysnomia. Stimuli were chosen based on their frequency of usage in everyday spoken language. A 60-item scale was created and given to 131 older Veterans. Rasch analyses were conducted and differential item functioning assessed to eliminate poorly-performing items. The final 55-item scale had a coefficient alpha of 0.84 and correlated with the Neuropsychological Assessment Battery Naming test, r = 0.84, p < .01, Delis-Kaplan Executive Function System (D-KEFS) Category Fluency, r = 0.45, p < .01, and the D-KEFS Letter Fluency, r = 0.40, p < .01. ROC analyses found the measure to have sensitivity of 79% and specificity of 85% for detecting dysnomia. Patients with dysnomia performed worse on the measure than patients with intact word-finding, t(84) = 8.2, p < .001. Patients with no cognitive impairment performed significantly better than patients with mild cognitive impairment, who performed significantly better than patients with dementia. This new measure shows promise in the neuropsychological evaluation of word-finding ability in older adults with or without visual impairment. Future directions include the development of a shorter version and the generation of additional normative data. (JINS, 2015, 21, 239-248)

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Educational and Gender Normative Data for the Boston Naming Test in a Group of Older Adults

Cited by 102 publications

References 0 publications

Race, gender, and educational level effects on Boston Naming Test scores

Race, gender, and educational level effects on Boston Naming Test scores

Effects of demographic variables and health status on brief vocabulary measures in Greek

Verbal Naming Test for Use with Older Adults: Development and Initial Validation

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