Abstract:Background: Abbreviated neurocognitive tests offer a practical alternative to full-length versions but often lack clear interpretive guidelines, thereby limiting their clinical utility.Objective: To replicate validity cutoffs for the Boston Naming Test -Short Form (BNT-15) and to introduce a clinical classification system for the BNT-15 as a measure of object-naming skills.Method: We collected data from 43 university students and 46 clinical patients. Classification accuracy was computed against psychometrical… Show more
“…When included in the regression models, sex remained significant in those four countries/regions, showing slightly higher scores in men compared to women. The minimal correlation between sex and 15-item BNT total scores is broadly consistent with other studies examining the BNT standard or short forms that have found no or minimal sex differences (Abeare et al, 2022; Fastenau et al, 1998; Fillenbaum et al, 1997; Mitrushina et al, 2005; Olabarrieta-Landa et al, 2015). Moreover, in the four other countries/regions (i.e., Puerto Rico, Paraguay, Honduras, and El Salvador) showing no differences by sex, there may be specific cultural or gender norms impacting the scores.…”
Section: Discussionsupporting
confidence: 87%
“…All countries/regions in this study showed a positive significant correlation (low to moderate in strength) between education and the 15-item BNT total scores. The models showed that 15-item BNT total scores increased with greater years of education across all countries/regions, thus, adding to previous research obtaining similar effects (Abeare et al, 2022;Fernández-Blázquez et al, 2012;Fillenbaum et al, 1997;Olabarrieta-Landa et al, 2015). Interestingly, education was the only factor that was significant across all This document is copyrighted by the American Psychological Association or one of its allied publishers.…”
Objective: Naming is commonly impaired in people with neurodegenerative diseases and brain injury, and as a result, its accurate assessment is essential. The aim of this study was to provide normative data for the 15-item Spanish version of the Boston Naming Test (BNT) for an adult population from eight Latin American countries/regions. Method: The total sample consisted of 2,828 participants from Argentina, Chile, Cuba, El Salvador, Mexico, Honduras, Paraguay, and Puerto Rico. Multiple regressions were used to generate normative data following a four-step process. Results: Regression models showed a linear effect of age on the 15-item BNT total score for Argentina, Chile, Mexico, and Puerto Rico. In contrast, Paraguay showed a quadratic age effect. Almost all countries showed a positive linear effect of education, except Cuba which had a quadratic effect. Sex was a significant predictor in Argentina, Chile, Cuba, and Mexico, where in women scored lower than men. Conclusions: This study generates normative data for the 15-item Spanish version of the BNT and offers a free open-source calculator that will assist in the efficacious use of this neuropsychological test in clinical practice and research.
“…When included in the regression models, sex remained significant in those four countries/regions, showing slightly higher scores in men compared to women. The minimal correlation between sex and 15-item BNT total scores is broadly consistent with other studies examining the BNT standard or short forms that have found no or minimal sex differences (Abeare et al, 2022; Fastenau et al, 1998; Fillenbaum et al, 1997; Mitrushina et al, 2005; Olabarrieta-Landa et al, 2015). Moreover, in the four other countries/regions (i.e., Puerto Rico, Paraguay, Honduras, and El Salvador) showing no differences by sex, there may be specific cultural or gender norms impacting the scores.…”
Section: Discussionsupporting
confidence: 87%
“…All countries/regions in this study showed a positive significant correlation (low to moderate in strength) between education and the 15-item BNT total scores. The models showed that 15-item BNT total scores increased with greater years of education across all countries/regions, thus, adding to previous research obtaining similar effects (Abeare et al, 2022;Fernández-Blázquez et al, 2012;Fillenbaum et al, 1997;Olabarrieta-Landa et al, 2015). Interestingly, education was the only factor that was significant across all This document is copyrighted by the American Psychological Association or one of its allied publishers.…”
Objective: Naming is commonly impaired in people with neurodegenerative diseases and brain injury, and as a result, its accurate assessment is essential. The aim of this study was to provide normative data for the 15-item Spanish version of the Boston Naming Test (BNT) for an adult population from eight Latin American countries/regions. Method: The total sample consisted of 2,828 participants from Argentina, Chile, Cuba, El Salvador, Mexico, Honduras, Paraguay, and Puerto Rico. Multiple regressions were used to generate normative data following a four-step process. Results: Regression models showed a linear effect of age on the 15-item BNT total score for Argentina, Chile, Mexico, and Puerto Rico. In contrast, Paraguay showed a quadratic age effect. Almost all countries showed a positive linear effect of education, except Cuba which had a quadratic effect. Sex was a significant predictor in Argentina, Chile, Cuba, and Mexico, where in women scored lower than men. Conclusions: This study generates normative data for the 15-item Spanish version of the BNT and offers a free open-source calculator that will assist in the efficacious use of this neuropsychological test in clinical practice and research.
“… Specifically computed to convert traditional scores into a binomial experiment; 1–3, Acquisition trials; Animals, Category fluency (Curtis et al., 2008; Hurtubise et al., 2020; Sugarman & Axelrod, 2015); BC, Below chance level (below the 95% confidence interval around the mean); BIN, Cutoff based on the binomial distribution; BNT‐15, Boston Naming Test—Short Form (Abeare et al., 2022; Deloria et al., 2021; Erdodi, Dunn, et al., 2018); C, At chance level (within the 95% confidence interval around the mean); CD WAIS‐IV , Coding (Ashendorf et al., 2017; Erdodi, Abeare, et al., 2017); CIM, Complex Ideational Material (Erdodi, 2019; Erdodi et al., 2016; Erdodi & Roth, 2017); COL, Color Naming; CPT‐3, Conners' Continuous Performance Test—Third Edition ( T = 90 is the highest score possible; Ord et al., 2020; Robinson et al., 2022); COM, Combination score (FR + true positives—false positives); DCT, Dot Counting Test (Boone et al., 2002; Hansen et al., 2022); Dem ADJ , Demographically adjusted score; DH, Dominant hand; D‐KEFS, Delis Kaplan Executive System (Cutler et al., 2022; Eglit et al., 2020; Erdodi, Sagar, et al., 2018); DR, Delayed recall; DS WAIS‐IV , Digit Span subtest of the Wechsler Adult Intelligence Scale—Fourth Edition (Shura et al., 2020; Whitney et al., 2009); EMP, Empirically derived cutoffs; EWFT, Emotion Word Fluency Test (Abeare, Hurtubise, et al., 2021); FAS, Letter fluency (Curtis et al., 2008; Deloria et al., 2021; Hurtubise et al., 2020); FCR, Forced choice recognition; FR, Free recall; FTT, Finger Tapping Test (Arnold et al., 2005; Axelrod et al., 2014; Erdodi, Taylor, et al., 2019); GPB, Grooved Pegboard Test (Erdodi, Kirsch, et al., 2018; Erdodi, Seke, et al., 2017; Link et al., 2021); HVLT‐R, Hopkins Verbal Learning Test—Revised (Cutler et al., 2021; Sawyer et al., 2017); IOP‐M, Inventory of Problems—29 memory module (Giromini et al., 2020a, 2020b; Holcomb, Pyne, et al., 2022); IR, DR & CNS, Immediate, Delayed & Consistency of Recognition trials (% correct); LM Recognition, Yes/No recognition trial of the Logical Memory subtest of the Wechsler Memory Scale—Fourth Edition (Bortnik et al., 2010; Dunn et al., 2021); LNS WAIS‐IV , Letter‐Number Sequencing (Erdodi &...…”
This study was designed to empirically evaluate the classification accuracy of various definitions of invalid performance in two forced-choice recognition performance validity tests (PVTs; FCR CVLT-II and Test of Memory Malingering [TOMM-2]). The proportion of at and below chance level responding defined by the binomial theory and making any errors was computed across two mixed clinical samples from the United States and Canada (N = 470) and two sets of criterion PVTs. There was virtually no overlap between the binomial and empirical distributions. Over 95% of patients who passed all PVTs obtained a perfect score. At chance level responding was limited to patients who failed ≥2 PVTs (91% of them failed 3 PVTs). No one scored below chance level on FCR CVLT-II or TOMM-2. All 40 patients with dementia scored above chance. Although at or below chance level performance provides very strong evidence of non-credible responding, scores above chance level have no negative predictive value. Even at chance level scores on PVTs provide compelling evidence for non-credible presentation.A single error on the FCR CVLT-II or TOMM-2 is highly specific (0.95) to psychometrically defined invalid performance.Defining non-credible responding as below chance level
“…The Canadian Sample consisted of 52 adults evaluated to determine their eligibility for disability benefits. The sample was used in previous publications focused on different topics (Abeare, An, et al, 2022; Abeare, Razvi, et al, 2021; Abeare, Romero, et al, 2021; Cutler, Abeare, et al, 2022; Hurtubise, Baher, et al, 2020). Exclusion criteria for all three samples were intellectual disability or dementia.…”
This study was designed to expand on a recent meta-analysis that identified ≤42 as the optimal cutoff on the Word Choice Test (WCT). We examined the base rate of failure and the classification accuracy of various WCT cutoffs in four independent clinical samples ( N = 252) against various psychometrically defined criterion groups. WCT ≤ 47 achieved acceptable combinations of specificity (.86–.89) at .49 to .54 sensitivity. Lowering the cutoff to ≤45 improved specificity (.91–.98) at a reasonable cost to sensitivity (.39–.50). Making the cutoff even more conservative (≤42) disproportionately sacrificed sensitivity (.30–.38) for specificity (.98–1.00), while still classifying 26.7% of patients with genuine and severe deficits as non-credible. Critical item (.23–.45 sensitivity at .89–1.00 specificity) and time-to-completion cutoffs (.48–.71 sensitivity at .87–.96 specificity) were effective alternative/complementary detection methods. Although WCT ≤ 45 produced the best overall classification accuracy, scores in the 43 to 47 range provide comparable objective psychometric evidence of non-credible responding. Results question the need for designating a single cutoff as “optimal,” given the heterogeneity of signal detection environments in which individual assessors operate. As meta-analyses often fail to replicate, ongoing research is needed on the classification accuracy of various WCT cutoffs.
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