Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Analyzing distributional properties of interference eects across modalities: Chances and challenges
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 2846169
Author(s) Dittrich, Kerstin; Kellen, David; Stahl, Christoph
Author(s) at UniBasel van der Kellen, David
Year 2014
Title Analyzing distributional properties of interference eects across modalities: Chances and challenges
Journal Psychological Research
Volume 78
Number 3
Pages / Article-Number 387-399
Abstract In research investigating Stroop or Simon effects, data are typically analyzed at the level of mean response time (RT), with results showing faster responses for compatible than for incompatible trials. However, this analysis provides only limited information as it glosses over the shape of the RT distributions and how they may differ across tasks and experimental conditions. These limitations have encouraged the analysis of RT distributions using delta plots. In the present review, we aim to bring together research on distributional properties of auditory and visual interference effects. Extending previous reviews on distributional properties of the Simon effect, we additionally review studies reporting distributional analyses of Stroop effects. We show that distributional analyses of sequential effects (i.e., taking into account congruency of the previous trial) capture important similarities and differences of interference effects across tasks (Simon, Stroop) as well as across sensory modalities, despite some challenges associated to this approach.
Publisher Springer
ISSN/ISBN 0340-0727 ; 1430-2772
edoc-URL http://edoc.unibas.ch/51178/
Full Text on edoc No
Digital Object Identifier DOI 10.1007/s00426-014-0551-y
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/24627167
ISI-Number 000334752000009
Document type (ISI) Article
 
   

MCSS v5.8 PRO. 0.353 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
26/04/2024