scholarly journals Estimating the statistical power to detect set‐size effects in contralateral delay activity

2021 ◽  
Vol 58 (5) ◽  
Author(s):  
William X. Q. Ngiam ◽  
Kirsten C. S. Adam ◽  
Colin Quirk ◽  
Edward K. Vogel ◽  
Edward Awh
2020 ◽  
Author(s):  
William Xiang Quan Ngiam ◽  
Kirsten C. S. Adam ◽  
Colin Quirk ◽  
Edward K. Vogel ◽  
Ed Awh

The contralateral delay activity (CDA) is an event-related potential component commonly used to examine the online processes of visual working memory. Here, we provide a robust analysis of the statistical power that is needed to achieve reliable and reproducible results with the CDA. Using two very large EEG datasets that examined the contrast between CDA amplitude with set sizes 2 and 6 items (Unsworth et al., 2015) and set sizes 2 and 4 items (Hakim et al., 2019), we present a subsampling analysis that estimates the statistical power achieved with varying numbers of subjects and trials based on the proportion of significant tests in 10,000 iterations. We also generated simulated data using Bayesian multilevel modelling to estimate power beyond the bounds of the original datasets. The number of trials and subjects required depends critically on the effect size. Detecting the presence of the CDA – a reliable difference between contralateral and ipsilateral electrodes during the memory period – required only 30-50 clean trials with a sample of 25 subjects to achieve approximately 80% statistical power. However, for detecting a difference in CDA amplitude between two set sizes, a substantially larger number of trials and subjects was required; approximately 400 clean trials with 25 subjects to achieve 80% power. Thus, to achieve robust tests of how CDA activity differs across conditions, it is essential to be mindful of the estimated effect size. We recommend researchers designing experiments to detect set size differences in the CDA collect substantially more trials per subject.


1998 ◽  
Vol 105 (1) ◽  
pp. 188-194 ◽  
Author(s):  
Jonathan D. Cohen ◽  
Marius Usher ◽  
James L. McClelland

2019 ◽  
Vol 162 ◽  
pp. 8-19 ◽  
Author(s):  
Jennifer Hemström ◽  
Andrea Albonico ◽  
Sarra Djouab ◽  
Jason J.S. Barton

2002 ◽  
Vol 14 (7) ◽  
pp. 980-993 ◽  
Author(s):  
Emanuela Bricolo ◽  
Tiziana Gianesini ◽  
Alessandra Fanini ◽  
Claus Bundesen ◽  
Leonardo Chelazzi

In visual search, inefficient performance of human observers is typically characterized by a steady increase in reaction time with the number of array elements—the so-called set-size effect. In general, set-size effects are taken to indicate that processing of the array elements depends on limited-capacity resources, that is, it involves attention. Contrasting theories have been proposed to account for this attentional involvement, however. While some theories have attributed set-size effects to the intervention of serial attention mechanisms, others have explained set-size effects in terms of parallel, competitive architectures. Conclusive evidence in favor of one or the other notion is still lacking. Especially in view of the wide use of visual search paradigms to explore the functional neuroanatomy of attentional mechanisms in the primate brain, it becomes essential that the nature of the attentional involvement in these paradigms be clearly defined at the behavioral level. Here we report a series of experiments showing that highly inefficient search indeed recruits serial attention deployment to the individual array elements. In addition, we describe a number of behavioral signatures of serial attention in visual search that can be used in future investigations to attest a similar involvement of serial attention in other search paradigms. We claim that only after having recognized these signatures can one be confident that truly serial mechanisms are engaged in a given visual search task, thus making it amenable for exploring the functional neuro-anatomy underlying its performance.


1988 ◽  
Vol 16 (5) ◽  
pp. 480-487 ◽  
Author(s):  
Graeme S. Halford ◽  
Murray T. Maybery ◽  
John D. Bain

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