Literature DB >> 21593059

Difficulty and discrimination parameters of Boston naming test items in a consecutive clinical series.

Otto Pedraza1, Bonnie C Sachs, Tanis J Ferman, Beth K Rush, John A Lucas.   

Abstract

The Boston Naming Test is one of the most widely used neuropsychological instruments; yet, there has been limited use of modern psychometric methods to investigate its properties at the item level. The current study used Item response theory to examine each item's difficulty and discrimination properties, as well as the test's measurement precision across the range of naming ability. Participants included 300 consecutive referrals to the outpatient neuropsychology service at Mayo Clinic in Florida. Results showed that successive items do not necessarily reflect a monotonic increase in psychometric difficulty, some items are inadequate to distinguish individuals at various levels of naming ability, multiple items provide redundant psychometric information, and measurement precision is greatest for persons within a low-average range of ability. These findings may be used to develop short forms, improve reliability in future test versions by replacing psychometrically poor items, and analyze profiles of intra-individual variability.

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Mesh:

Year:  2011        PMID: 21593059      PMCID: PMC3142950          DOI: 10.1093/arclin/acr042

Source DB:  PubMed          Journal:  Arch Clin Neuropsychol        ISSN: 0887-6177            Impact factor:   2.813


  5 in total

Review 1.  Different approaches to differential item functioning in health applications. Advantages, disadvantages and some neglected topics.

Authors:  Jeanne A Teresi
Journal:  Med Care       Date:  2006-11       Impact factor: 2.983

2.  The 60-item Boston Naming Test: norms for cognitively intact adults aged 25 to 88 years.

Authors:  T N Tombaugh; A M Hubley
Journal:  J Clin Exp Neuropsychol       Date:  1997-12       Impact factor: 2.475

3.  Assessment practices of clinical neuropsychologists in the United States and Canada: a survey of INS, NAN, and APA Division 40 members.

Authors:  Laura A Rabin; William B Barr; Leslie A Burton
Journal:  Arch Clin Neuropsychol       Date:  2005-01       Impact factor: 2.813

4.  Boston naming test short forms: a comparison of previous forms with new item response theory based forms.

Authors:  R E Graves; S C Bezeau; J Fogarty; R Blair
Journal:  J Clin Exp Neuropsychol       Date:  2004-10       Impact factor: 2.475

5.  Differential item functioning of the Boston Naming Test in cognitively normal African American and Caucasian older adults.

Authors:  Otto Pedraza; Neill R Graff-Radford; Glenn E Smith; Robert J Ivnik; Floyd B Willis; Ronald C Petersen; John A Lucas
Journal:  J Int Neuropsychol Soc       Date:  2009-07-02       Impact factor: 2.892

  5 in total
  5 in total

1.  A signal detection-item response theory model for evaluating neuropsychological measures.

Authors:  Michael L Thomas; Gregory G Brown; Ruben C Gur; Tyler M Moore; Virginie M Patt; Victoria B Risbrough; Dewleen G Baker
Journal:  J Clin Exp Neuropsychol       Date:  2018-02-05       Impact factor: 2.475

2.  Enhancing the Efficiency of Confrontation Naming Assessment for Aphasia Using Computer Adaptive Testing.

Authors:  Gerasimos Fergadiotis; William D Hula; Alexander M Swiderski; Chia-Ming Lei; Stacey Kellough
Journal:  J Speech Lang Hear Res       Date:  2019-06-03       Impact factor: 2.297

3.  Advances in applications of item response theory to clinical assessment.

Authors:  Michael L Thomas
Journal:  Psychol Assess       Date:  2019-03-14

4.  A Color-Picture Version of Boston Naming Test Outperformed the Black-and-White Version in Discriminating Amnestic Mild Cognitive Impairment and Mild Alzheimer's Disease.

Authors:  Dan Li; Yue-Yi Yu; Nan Hu; Min Zhang; Li Liu; Li-Mei Fan; Shi-Shuang Ruan; Fen Wang
Journal:  Front Neurol       Date:  2022-04-25       Impact factor: 4.086

5.  Bayesian modeling of item heterogeneity in dichotomous recognition memory data and prospects for computerized adaptive testing.

Authors:  Emrah Düzel; Gabriel Ziegler; Jeremie Güsten; David Berron
Journal:  Sci Rep       Date:  2022-01-24       Impact factor: 4.379

  5 in total

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