2015
DOI: 10.1080/20445911.2014.996568
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The effect of different methods to construct non-symbolic stimuli in numerosity estimation and comparison

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Cited by 68 publications
(88 citation statements)
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“…A recent study by Smets, Sasanguie, Szücs, and Reynvoet (2015) however suggested that estimation tasks are not significantly altered by differences in visual cues, contrarily to discrimination tasks that are highly biased by how the visual cues were manipulated (see also Smets, Gebuis, Defever, & Reynvoet, 2014). More generally, visuospatial processing are particularly problematic in the discrimination task, as only a rough estimate of the numerosity of each collection is needed to accurately perform the task (Gebuis & Reynvoet, 2012a).…”
Section: Discussionmentioning
confidence: 99%
“…A recent study by Smets, Sasanguie, Szücs, and Reynvoet (2015) however suggested that estimation tasks are not significantly altered by differences in visual cues, contrarily to discrimination tasks that are highly biased by how the visual cues were manipulated (see also Smets, Gebuis, Defever, & Reynvoet, 2014). More generally, visuospatial processing are particularly problematic in the discrimination task, as only a rough estimate of the numerosity of each collection is needed to accurately perform the task (Gebuis & Reynvoet, 2012a).…”
Section: Discussionmentioning
confidence: 99%
“…The default radius of the dots was 60 pixels and the maximum variability in size between the dots was +/−35%. Previous research has found that non-numerical aspects of an array can affect numerical performance (Clayton, Gilmore, & Inglis, 2015; Gebuis & Reynvoet, 2012; Smets, Sasanguie, Szücs, & Reynvoet, 2015). As such, on half of the trials the two arrays were equated for individual dot size (i.e., the average size of the dots in each collection was equal).…”
Section: Methodsmentioning
confidence: 99%
“…In particular, the visual characteristics of dot arrays have been shown to have substantial impact on participants’ performance (Clayton, Gilmore, & Inglis, 2015; DeWind & Brannon, 2016; Gebuis & Reynvoet, 2012; Smets, Sasanguie, Szücs, & Reynvoet, 2015). Studies have shown that performance on dot comparison tasks is dependent on how the visual characteristics of arrays are controlled and, in particular, how many visual cues are controlled (Gebuis & Reynvoet, 2012; Smets et al., 2015). Researchers use a variety of methods to control for visual characteristics in the construction of dot arrays (e.g.…”
mentioning
confidence: 99%