The Structure of Sequential Effects.
There is a long history of research into sequential effects, extending more than one hundred years. The pattern of sequential effects varies widely with both experimental conditions as well as for different individuals performing the same experiment. Yet this great diversity of results is poorly und...
| Published in: | Journal of Experimental Psychology. General Vol. 145; no. 1; pp. 110 - 124 |
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| Main Authors: | , , , |
| Format: | Article |
| Published: |
American Psychological Association
Jan2016
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=112167597&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 112167597 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00963445 EPG jtl: Journal of Experimental Psychology. General issn: 00963445 maglogo: N pubinfo: dt: Jan2016 vid: 145 iid: 1 pid: 34 pub: American Psychological Association artinfo: ui: 112167597 10.1037/xge0000106 ppf: 110 ppct: 14 formats: tig: atl: The Structure of Sequential Effects. aug: au: Gökaydin, Dinis Navarro, Daniel J. Ma-Wyatt, Anna Perfors, Amy affil: University of Adelaide su: Pattern perception Neural stimulation Reaction time sug: subj: Pattern perception Neural stimulation Reaction time keyword: decision making pattern detection perception reaction time sequential effects decision making pattern detection perception reaction time sequential effects ab: There is a long history of research into sequential effects, extending more than one hundred years. The pattern of sequential effects varies widely with both experimental conditions as well as for different individuals performing the same experiment. Yet this great diversity of results is poorly understood, particularly with respect to individual variation, which save for some passing mentions has largely gone unreported in the literature. Here we seek to understand the way in which sequential effects vary by identifying the causes underlying the differences observed in sequential effects. In order to achieve this goal we perform principal component analysis on a dataset of 158 individual results from participants performing different experiments with the aim of identifying hidden variables responsible for sequential effects. We find a latent structure consisting of 3 components related to sequential effects--2 main and 1 minor. A relationship between the 2 main components and the separate processing of stimuli and of responses is proposed on the basis of previous empirical evidence. It is further speculated that the minor component of sequential effects arises as the consequence of processing delays. Independently of the explanation for the latent variables encountered, this work provides a unified descriptive model for a wide range of different types of sequential effects previously identified in the literature. In addition to explaining individual differences themselves, it is demonstrated how the latent structure uncovered here is useful in understanding the classical problem of the dependence of sequential effects on the interval between successive stimuli. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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