583
Views
72
CrossRef citations to date
0
Altmetric
Regular articles

Is the SNARC effect related to the level of mathematics? No systematic relationship observed despite more power, more repetitions, and more direct assessment of arithmetic skill

&
Pages 1974-1991 | Received 25 Jan 2012, Published online: 08 Mar 2013
 

Abstract

The SNARC (spatial–numerical association of response codes) described that larger numbers are responded faster with the right hand and smaller numbers with the left hand. It is held in the literature that arithmetically skilled and nonskilled adults differ in the SNARC. However, the respective data are descriptive, and the decisive tests are nonsignificant. Possible reasons for this nonsignificance could be that in previous studies (a) very small samples were used, (b) there were too few repetitions producing too little power and, consequently, reliabilities that were too small to reach conventional significance levels for the descriptive skill differences in the SNARC, and (c) general mathematical ability was assessed by the field of study of students, while individual arithmetic skills were not examined. Therefore we used a much bigger sample, a lot more repetitions, and direct assessment of arithmetic skills to explore relations between the SNARC effect and arithmetic skills. Nevertheless, a difference in SNARC effect between arithmetically skilled and nonskilled participants was not obtained. Bayesian analysis showed positive evidence of a true null effect, not just a power problem. Hence we conclude that the idea that arithmetically skilled and nonskilled participants generally differ in the SNARC effect is not warranted by our data.

We wish to thank Marc Brysbaert and two reviewers for numerous helpful comments on a previous version of the manuscript. In particular, we are grateful to Marc Brysbaert for putting our attention to Masson's Bayesian analysis methods, which improved the manuscript a lot and made our null results “positive evidence” for a true null SNARC slope difference between skilled and unskilled participants. We also thank Dorota Z˙elechowska and Dominika Czajak for their help in data collection and Franziska Burger for checking and correcting English spelling, expression, and grammar. H.-C. Nuerk's research on spatial–numerical cognition was supported by the German Research Foundation (DFG) by means of a project within the Research Group (Forschergruppe) Analyse und Förderung effektiver Lehr-Lern-Prozesse (FOR 738/2/TP02).

Notes

1 Note that previous studies used only 20 participants (Dehaene et al., Citation1993; Fischer & Rottman, 2005).

2 Note that previous studies used only 9 or 10 repetitions per block.

3 Since those questionnaires were not relevant for the aim of the study reported here, and mostly null correlations were found, they are not reported in the main body of the paper. All results are presented in Appendix B.

4 We wish to thank the action editor Marc Brysbaert for proposing this analysis in response to power concerns raised by the reviewers.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.