Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Jul 18:8:1194.
doi: 10.3389/fpsyg.2017.01194. eCollection 2017.

Finding the SNARC Instead of Hunting It: A 2020 Monte Carlo Investigation

Affiliations

Finding the SNARC Instead of Hunting It: A 2020 Monte Carlo Investigation

Krzysztof Cipora et al. Front Psychol. .

Abstract

The Spatial Numerical Association of Response Codes (SNARC) effect describes a stimulus-response association of left with small magnitude and right with large magnitude. Usually, it is estimated by means of regression slopes, where the independent variable only has a limited number of levels. Inspection of the literature reveals that it is not difficult to detect a SNARC effect within a group, but it has been quite unusual to find group differences. Is the SNARC effect as it is usually estimated using regression slopes largely insensitive to group differences, and are there design parameters necessary to increase sensitivity in group comparison analyses? Using numerical simulations, we provide evidence that both sample size and the number of stimulus repetitions, as well as intra-individual variability, contribute in a substantial way to the probability of detecting an existing SNARC effect. Our results show that the adequate choice of either sample size or number of repetitions per experimental cell does not fully compensate for a poor choice of the other parameter. Moreover, repeated failures to find significant group differences in the SNARC effect can be explained by insufficient power. Fortunately, increasing the number of repetitions to about 20 and testing at least 20 participants provides in most cases sufficient sensitivity to reliably detect the SNARC effect as well as group differences. Power plots are provided, which may help to improve both the economy and sensitivity of experimental design in future SNARC experiments, or, more generally when regression slopes are estimated intra-individually.

Keywords: ANOVA; Monte Carlo simulations; Regression Analysis; SNARC effect; power analysis.

PubMed Disclaimer

Figures

FIGURE 1
FIGURE 1
Power graph for all parameters used in the simulations (power of detecting existing SNARC effect at 0.05). Small panels represent sample sizes, big panels represent levels of intra-individual variability (SD response). X axis represents number of repetitions from 10 to 120 in steps of 10. Black lines represent powers of 0.80 and 0.95.
FIGURE 2
FIGURE 2
Observed power for detecting an existing difference between two SNARC slopes (at 0.05 level). Small panels represent sample sizes, big panels represent levels of intra-individual variability (SD response). X axis represents number of repetitions from 10 to 120 in steps of 10. Black lines represent 0.80 and 0.95 power.

References

    1. Bachot J., Gevers W., Fias W., Roeyers H. (2005). Number sense in children with visuospatial disabilities: orientation of the mental number line. Psychol. Sci. 47 172–183.
    1. Bächtold D., Baumuller M., Brugger P. (1998). Stimulus–response compatibility in representational space. Neuropsychologia 36 731–735. 10.1016/S0028-3932(98)00002-5 - DOI - PubMed
    1. Berch D. B., Foley E. J., Hill R. J., Ryan P. M. (1999). Extracting parity and magnitude from arabic numerals: developmental changes in number processing and mental representation. J. Exp. Child Psychol. 74 286–308. 10.1006/jecp.1999.2518 - DOI - PubMed
    1. Böckler A., Knoblich G., Sebanz N. (2011). Giving a helping hand: effects of joint attention on mental rotation of body parts. Exp. Brain Res. 211 531–545. 10.1007/s00221-011-2625-z - DOI - PMC - PubMed
    1. Bonato M., Fabbri S., Umiltà C., Zorzi M. (2007). The mental representation of numerical fractions: real or integer? J. Exp. Psychol. Hum. Percept. Perform. 33 1410–1419. 10.1037/0096-1523.33.6.1410 - DOI - PubMed

LinkOut - more resources