Premium
Base rates of errors made by healthy older adults on the clock drawing and verbal fluency tests
Author(s) -
Lin Shayne SH,
Gurnani Ashita S.,
Gavett Brandon E.
Publication year - 2020
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1002/alz.047705
Subject(s) - fluency , psychology , verbal fluency test , cognitive psychology , test (biology) , audiology , neuropsychology , set (abstract data type) , neuropsychological test , neuropsychological assessment , cognition , developmental psychology , computer science , medicine , psychiatry , paleontology , mathematics education , biology , programming language
Abstract Background In the realm of neuropsychological assessment, the Boston Process Approach is a method to analyze the errors made along the process that individuals take to the solution. Considering the clinical utility of base rates in estimating the probability of an individual being cognitively normal or impaired, the present study aimed at reporting the base rates of errors on the verbal fluency test and the Clock Drawing Test. Method Data of 88 cognitively normal elder participants performing the Animal Fluency, the Letter Fluency, the Clock Command, and the Clock Copy were pulled from a larger data set and coded based on the Boston Process Approach. Result As shown on table 1, it was found that, on verbal fluency test, repetition error was frequently made among cognitively healthy older adults while perseverative error and set‐loss error was relatively rare. On the Clock Drawing test, on the other hand, as shown on table 2, conceptual error was quite common whereas stimulus‐bound error was quite rare. Conclusion As illustrated in Gavett (2015), base rate data regarding errors made on neuropsychological tests from cognitively healthy older adults are crucial to construct and estimate the probability of an individual being cognitively impaired when number of errors made on a test is known. Therefore, the current data provides valuable information for the purpose of dementia diagnosis.