Bamberg Dementia Screening Test

2015 ◽  
Author(s):  
Wolfgang Trapp ◽  
Bruno Weisenberger ◽  
Denise Düclos ◽  
Stefan Lautenbacher ◽  
Nicholas Mitznegg ◽  
...  
2015 ◽  
Vol 16 (4) ◽  
pp. 233-239 ◽  
Author(s):  
Yasushi Moriyama ◽  
Aihide Yoshino ◽  
Kaori Yamanaka ◽  
Motoichiro Kato ◽  
Taro Muramatsu ◽  
...  

2015 ◽  
Vol 11 (7S_Part_19) ◽  
pp. P874-P874
Author(s):  
David C. Weisman ◽  
John Khoury ◽  
Kandan Kulandaivel ◽  
Deepa Amberker ◽  
Patrick Sleiman

2018 ◽  
Vol 80 (1) ◽  
pp. 199-209
Author(s):  
N. Maritza Dowling ◽  
Tenko Raykov ◽  
George A. Marcoulides

Equating of psychometric scales and tests is frequently required and conducted in educational, behavioral, and clinical research. Construct comparability or equivalence between measuring instruments is a necessary condition for making decisions about linking and equating resulting scores. This article is concerned with a widely applicable method for examining if two scales or tests cannot be equated. A latent variable modeling method is discussed that can be used to evaluate whether the tests or parts thereof measure latent constructs that are distinct from each other. The approach can be routinely used before an equating procedure is undertaken, in order to assess whether equating could be meaningfully carried out to begin with. The procedure is readily applicable in empirical research using popular software. The method is illustrated with data from dementia screening test batteries administered as part of two studies designed to evaluate a wide range of biomarkers throughout the process of normal aging to dementia or Alzheimer’s disease.


1996 ◽  
Vol 9 (4) ◽  
pp. 200-208 ◽  
Author(s):  
David A. Drachman ◽  
Joan M. Swearer ◽  
Kevin Kane ◽  
Diane Osgood ◽  
Colleen O'Toole ◽  
...  

The purpose of this study was to assess the usefulness, the sensitivity, and the specificity of the Cognitive Assessment Screening Test (CAST), a paper-and-pencil self-administered cognitive test designed to screen elderly people for possible dementia, for use in general physicians' offices, requiring little expertise or staff time. CAST consists of three parts: part A (relatively easy), part B (more demanding), and part C (self-report of concerns). CAST was administered in two studies to: (1) 19 patients known to be mildly to moderately demented versus 24 age-matched normal controls (to establish cutoff standards); and (2) a “real world” sample of 26 elderly patients not known to be demented, attending a general medicine clinic. The sensitivity and specificity of CAST were compared with the Mini-Mental State Examination (MMSE) and the Blessed Dementia Scale cognitive portion (BDS-cog). In study 1, controls were given a detailed neuropsychological battery; in study 2, all patients were given the neuropsychological battery, which served as the “gold standard” to identify individuals with cognitive impairment. In study 1, the cutoff scores for dementia using CAST (Parts A and B) were established. CAST discriminated demented patients from controls with a sensitivity of 95% and a specificity of 88%; the MMSE had a sensitivity of 74% and a specificity of 100%; and the BDS-cog had a sensitivity of 100% and a specificity of 96%. In study 2, CAST discriminated cognitive impairment with a sensitivity of 88% and a specificity of 100%, the MMSE had a sensitivity of 38% and a specificity of 100%; and the BDS-cog had a sensitivity of 50% and a specificity of 94%. Part C was not used to discriminate demented from normal elderly individuals, but to screen for those concerned about their cognitive functioning. CAST is highly useful as a dementia screening test, with sensitivity and specificity equal to or better than the MMSE and BDS-cog, yet requiring minimal examiner time and little training or experience to administer.


2008 ◽  
Vol 11 (6) ◽  
pp. A607
Author(s):  
I Andrés ◽  
J Kulisevsky ◽  
M Balañä ◽  
J Pagonabarraga ◽  
G Llebaria ◽  
...  

2016 ◽  
Vol 17 (3) ◽  
pp. 170-176
Author(s):  
Yasushi Moriyama ◽  
Aihide Yoshino ◽  
Taro Muramatsu ◽  
Masaru Mimura

2017 ◽  
Vol 17 (6) ◽  
pp. 371-376
Author(s):  
Yasushi Moriyama ◽  
Aihide Yoshino ◽  
Taro Muramatsu ◽  
Masaru Mimura

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