predicting factors of verbal fluency and the effects of stereotype threat and boost

predicting factors of verbal fluency and the effects of stereotype threat and boost

;
accounts of chemical research 2015 Vol. 6 pp. -
180
noauthor2015frontierspredicting

Abstract

Aims: Verbal Fluency (VF) tasks are often utilised to assist in the neuropsychological assessment of cognitive impairment and diagnosis of cognitive disorders. VF performance can also provide information about an individual’s vocabulary and speed of cognitive processes. In order to further develop our understanding of predictors of VF, this study explored how age, education and time spent reading and writing can affect performance. Furthermore, this study investigated the effects of a stereotype threat (STT) or boost (STB). Method: VF tasks (pre and post stereotype manipulation) were administrated to 30 adults with 15 receiving a STT and 15 receiving a STB. The stereotype threat/boost was activated by informing participants that they read and wrote less/more than their peers. Results: Medium to strong positive correlations (with some being significant) were found between education level and both the number of words generated and with word commonality scores (i.e. how common the words were for these participants). Negative medium to weak correlations were found between age and both the number of words generated and with commonality scores. There was also a significant interaction showing that the words generated by a category prompt were less common following a STB and more common following a STT. Conclusions: These results support those of previous literature in regards to the respective impacts of education and age on VF. Furthermore, the impacts found of age and education on the commonality of words generated provides information on the nature of their influences. Lastly, the present study sheds light on the potential effects of STT and STB on verbal fluency.

Citation

ID: 168619
Ref Key: noauthor2015frontierspredicting
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
168619
Unique Identifier:
10.3389/conf.fpsyg.2015.66.00008
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet