2017
DOI: 10.1037/edu0000182
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A meta-analysis of the relation between RAN and mathematics.

Abstract: Several studies have shown that rapid automatized naming (RAN) is a significant predictor of mathematics, but the nature of their relationship remains elusive. Thus, the purpose of this meta-analysis was to estimate the size of their relationship and determine the conditions under which they correlate. We used a random-effects model analysis of data from 38 studies (33 unique samples, 151 correlations, 7,135 participants) to examine the size of the RAN-mathematics relationship and the role of different moderat… Show more

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Cited by 59 publications
(78 citation statements)
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References 96 publications
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“…Rapid automatized naming is the ability to name a sequence of highly familiar visual stimuli such as colors, letters, and digits as fast as possible ( Denckla and Rudel, 1974 ). Most of the existing studies on RAN focused either on its relation with academic outcomes, such as reading ability ( Araújo et al, 2015 , for a meta-analysis; Kirby et al, 2010 ; Norton and Wolf, 2012 , for a review; Papadopoulos et al, 2016 ; for a review, Siddaiah and Padakannaya, 2015 ) and mathematics, especially arithmetic fluency ( Hecht et al, 2001 ; Koponen et al, 2013 , 2017 ; Foster et al, 2015 ; Cui et al, 2017 ) or on its underlying domain-general components (e.g., articulation time and pause time, Neuhaus et al, 2001a ; Araújo et al, 2011 ). A remaining question is whether a range of different RAN tasks is best represented by a single component or/and by several specific components.…”
Section: Introductionmentioning
confidence: 99%
“…Rapid automatized naming is the ability to name a sequence of highly familiar visual stimuli such as colors, letters, and digits as fast as possible ( Denckla and Rudel, 1974 ). Most of the existing studies on RAN focused either on its relation with academic outcomes, such as reading ability ( Araújo et al, 2015 , for a meta-analysis; Kirby et al, 2010 ; Norton and Wolf, 2012 , for a review; Papadopoulos et al, 2016 ; for a review, Siddaiah and Padakannaya, 2015 ) and mathematics, especially arithmetic fluency ( Hecht et al, 2001 ; Koponen et al, 2013 , 2017 ; Foster et al, 2015 ; Cui et al, 2017 ) or on its underlying domain-general components (e.g., articulation time and pause time, Neuhaus et al, 2001a ; Araújo et al, 2011 ). A remaining question is whether a range of different RAN tasks is best represented by a single component or/and by several specific components.…”
Section: Introductionmentioning
confidence: 99%
“…Cumulative evidence have shown that RAN is a significant predictor of arithmetic skills in both cross‐sectional (Koponen, Aunola, Ahonen, & Nurmi, 2007) and longitudinal studies (Geary, 2011; Georgiou et al, 2013). A recent meta‐analysis (Koponen et al, 2017) also reported a moderate correlation between RAN and arithmetic performance in general ( r = .37), the effect size of which is comparable to that of the relation between RAN and literacy (Araújo et al, 2015). However, the existing literature has two notable limitations.…”
Section: Introductionmentioning
confidence: 84%
“…Rapid automatized naming (RAN), the cognitive capacity to name as fast as possible highly familiar visual stimuli (e.g., digits, colors, objects, and letters; Denckla & Cutting, 1999), is associated with children's reading skills (see Araújo, Reis, Petersson, & Faísca, 2015 for a review). Recent studies have shown that RAN is also closely related to children's arithmetic performance (e.g., Cui et al, 2017; Georgiou, Tziraki, Manolitsis, & Fella, 2013; Koponen, Georgiou, Salmi, Leskinen, & Aro, 2017; Koponen, Salmi, Eklund, & Aro, 2013). Because arithmetic consists of different subskills, it remains unclear whether RAN will predict all individual aspects of arithmetic skills and what cognitive processes may explain the aforementioned relations.…”
Section: Introductionmentioning
confidence: 99%
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“…On the other hand, meta-analyses of more basic research include synthesized results on the association of numerical and spatial cognition (Hawes et al, 2019); magnitude understanding (Vanbinst and De Smedt, 2016;Sokolowski et al, 2017); rapid automatized naming (Koponen et al, 2017); specific brain regions associated with numerical cognition (Yeo et al, 2017); specific numerical processes (Arsalidou et al, 2018); specific cognitive functions (Peng et al, 2016); different numerical representations (Schneider et al, 2017); and genetic influences (Chen et al, 2017;King et al, 2019).…”
Section: More Basic and More Applied Research On Numerical Cognitionmentioning
confidence: 99%