The Ant In A Russian Sample: Testing The Independence Of Attention Networks

Dmitry Lyusin ()
Additional contact information
Dmitry Lyusin: National Research University Higher School of Economics

HSE Working papers from National Research University Higher School of Economics

Abstract: The Attention Network Test (ANT) is a measure that allows the assessment of three different attention networks postulated by Posner – alerting, orienting, and executive control. The alerting network is responsible for the maintenance of a vigilant and alert state; the orienting network allows the shift of attention to sensory events appearing in the perceptual field and is responsible for the selection of information from sensory input; the executive control network allows for resolving conflicts among responses. The ANT became a popular tool for assessing attention networks functioning thanks to its simplicity, relative briefness, and accessibility for researchers. This paper reports data obtained with the ANT in a Russian sample. The analysis was focused on the problem of the independence of the attention networks. No significant correlations between the attention networks were found. A repeated-measures analysis of variance yielded a significant interaction between the cue types and the flanker types. The character of this interaction indicates that the orienting and executive control networks are not independent

Keywords: Attention Network Test; alerting; orienting; executive control (search for similar items in EconPapers)
JEL-codes: Z (search for similar items in EconPapers)
Pages: 9 pages
Date: 2015
New Economics Papers: this item is included in nep-cis
References: View complete reference list from CitEc
Citations:

Published in WP BRP Series: Science, Psychology / PSY, May 2015, pages 1-9

Downloads: (external link)
http://www.hse.ru/data/2015/06/15/1083285613/39PSY2015.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hig:wpaper:39psy2015

Access Statistics for this paper

More papers in HSE Working papers from National Research University Higher School of Economics
Bibliographic data for series maintained by Shamil Abdulaev () and Shamil Abdulaev ().