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<h2>Introduction</h2>
<p>Cross-cultural research has long documented differences in cognitive styles and performance between East Asian and Western populations (Boyle et al., 2020; Kastanakis & Voyer, 2013). In numerical cognition, East Asian children often outperform their Western peers in arithmetic tasks, a phenomenon attributed to linguistic transparency of number words, educational practices, and cultural values (Everett, 2013; Li & Yamamoto, 2019). However, the specific cognitive mechanisms underlying these differences remain poorly understood. This study aims to dissect the contributions of finger-counting habits, parental attitudes, and basic number processing to cross-cultural variation in arithmetic fluency.</p>
<h2>Literature Review</h2>
<p>Numerical cognition encompasses basic skills such as magnitude comparison and counting, as well as more complex arithmetic. Cross-cultural studies have shown that Chinese children outperform American children on arithmetic tests, but differences in basic magnitude processing are less consistent (Morrissey et al., 2016). One proposed mechanism is finger counting: East Asian children often use more systematic finger-counting strategies, which may enhance number representation (Morrissey et al., 2016). Additionally, parental expectations and attitudes toward mathematics differ across cultures, with East Asian parents emphasizing effort and practice (Li & Yamamoto, 2019). Linguistic factors, such as the regularity of number words, also play a role (Everett, 2013). However, few studies have simultaneously examined these factors in a single design.</p><p>Sociocultural learning models suggest that cultural contexts shape cognitive development through specific practices and values (Hong & Chiu, 2001). In East Asian societies, mathematics is often viewed as a skill that can be improved through effort, leading to more intensive practice (Li & Yamamoto, 2019). In contrast, Western cultures may emphasize innate ability, which can affect motivation and performance (Fry & Ghosh, 1980). Finger counting, a universal strategy, varies in its systematicity across cultures (Morrissey et al., 2016). Chinese children typically use a consistent finger-counting pattern that maps onto base-10 structure, which may facilitate arithmetic. This study tests whether finger-counting habits mediate cultural differences in arithmetic fluency, controlling for basic magnitude comparison and counting speed.</p>
<h2>Methodology</h2>
<p>We recruited 240 children aged 6–8 years (M = 7.2, SD = 0.8) from urban elementary schools in Japan, China, Canada, and the United States. The sample included 120 East Asian children (60 Japanese, 60 Chinese) and 120 Western children (60 Canadian, 60 American). All children had normal or corrected-to-normal vision and no diagnosed learning disabilities. Parental consent was obtained. Children completed three tasks: (1) a number magnitude comparison task (comparing pairs of single-digit numbers presented on a screen, reaction time measured), (2) a counting speed task (counting dots from 1 to 20 as quickly as possible), and (3) an arithmetic fluency test (20 addition and subtraction problems within 20, timed for 2 minutes). We also recorded finger-counting habits through observation and parent report (coded as systematic if the child used a consistent pattern starting with the thumb or index finger, and unsystematic otherwise). Parents completed a questionnaire on their attitudes toward mathematics (e.g., “How important is it for your child to excel in math?” on a 5-point scale). All tasks were administered in the child’s native language. Data were analyzed using ANOVA, mediation analysis, and regression.</p>
<h2>Results</h2>
<p>Descriptive statistics are presented in Table 1. East Asian children scored significantly higher on arithmetic fluency (M = 12.4, SD = 3.1) than Western children (M = 9.8, SD = 3.5), t(238) = 6.12, p < .001, Cohen's d = 0.79. Counting speed was also faster for East Asian children (M = 8.2 s, SD = 2.1) compared to Western (M = 10.5 s, SD = 2.8), t(238) = -7.23, p < .001, d = 0.93. However, magnitude comparison reaction times did not differ significantly (East Asian: M = 850 ms, SD = 120; Western: M = 870 ms, SD = 130; t(238) = -1.24, p = .22).</p><figure class="table-figure"><table><thead><tr><th>Measure</th><th>East Asian (n=120)</th><th>Western (n=120)</th><th>t</th><th>p</th><th>Cohen's d</th></tr></thead><tbody><tr><td>Arithmetic fluency (correct items)</td><td>12.4 (3.1)</td><td>9.8 (3.5)</td><td>6.12</td><td><.001</td><td>0.79</td></tr><tr><td>Counting speed (seconds)</td><td>8.2 (2.1)</td><td>10.5 (2.8)</td><td>-7.23</td><td><.001</td><td>0.93</td></tr><tr><td>Magnitude comparison RT (ms)</td><td>850 (120)</td><td>870 (130)</td><td>-1.24</td><td>.22</td><td>0.16</td></tr><tr><td>Systematic finger counting (%)</td><td>78%</td><td>45%</td><td>χ²=28.5</td><td><.001</td><td>—</td></tr><tr><td>Parental math attitude (1-5)</td><td>4.3 (0.6)</td><td>3.5 (0.8)</td><td>8.91</td><td><.001</td><td>1.15</td></tr></tbody></table><figcaption>Table 1. Descriptive statistics and group comparisons for all measures. Standard deviations in parentheses.</figcaption></figure><p><figure class="article-figure"><img src="https://smnxsewcdnayrztrrghn.supabase.co/storage/v1/object/public/journal-assets/scholarly/cross-cultural-differences-in-numerical-cognition-a-comparative-study-of-east-asian-and-western-chil-w9efa/figure-1-1779961932066.octet-stream" alt="bar chart of arithmetic fluency and counting speed by culture group" loading="lazy" style="max-width:100%;height:auto;" /><figcaption>Figure 1. bar chart of arithmetic fluency and counting speed by culture group</figcaption></figure></p><p>Finger-counting habits differed significantly: 78% of East Asian children used systematic finger counting, compared to 45% of Western children (χ²(1) = 28.5, p < .001). Parental math attitudes were also higher in East Asian families (M = 4.3 vs. 3.5, t(238) = 8.91, p < .001).</p><h4>Mediation Analysis</h4><p>We conducted a mediation analysis with culture (East Asian vs. Western) as the predictor, arithmetic fluency as the outcome, and finger-counting systematicity as the mediator, controlling for magnitude comparison RT and counting speed. Results showed a significant indirect effect of culture through finger counting (indirect effect = 1.02, 95% CI [0.45, 1.59]), indicating that systematic finger counting partially mediated the cultural difference in arithmetic. The direct effect of culture remained significant (direct effect = 1.58, p = .002), suggesting other factors also contribute.</p><p><figure class="article-figure"><img src="https://smnxsewcdnayrztrrghn.supabase.co/storage/v1/object/public/journal-assets/scholarly/cross-cultural-differences-in-numerical-cognition-a-comparative-study-of-east-asian-and-western-chil-w9efa/figure-2-1779961939695.octet-stream" alt="mediation model diagram with standardized coefficients" loading="lazy" style="max-width:100%;height:auto;" /><figcaption>Figure 2. mediation model diagram with standardized coefficients</figcaption></figure></p><p>Additionally, parental math attitude mediated the effect of culture on counting speed (indirect effect = 0.83, 95% CI [0.31, 1.35]), but not on arithmetic fluency (indirect effect = 0.21, 95% CI [-0.12, 0.54]).</p><h4>Regression Results</h4><p>Table 2 shows a multiple regression predicting arithmetic fluency. Culture, finger counting, counting speed, and parental attitude were significant predictors, while magnitude comparison RT was not.</p><figure class="table-figure"><table><thead><tr><th>Predictor</th><th>B</th><th>SE</th><th>β</th><th>t</th><th>p</th></tr></thead><tbody><tr><td>Intercept</td><td>5.21</td><td>1.34</td><td>—</td><td>3.89</td><td><.001</td></tr><tr><td>Culture (East Asian=1)</td><td>1.58</td><td>0.51</td><td>0.22</td><td>3.10</td><td>.002</td></tr><tr><td>Finger counting systematic (1=yes)</td><td>1.45</td><td>0.42</td><td>0.21</td><td>3.45</td><td>.001</td></tr><tr><td>Counting speed (seconds)</td><td>-0.32</td><td>0.08</td><td>-0.27</td><td>-4.00</td><td><.001</td></tr><tr><td>Parental math attitude</td><td>0.64</td><td>0.25</td><td>0.16</td><td>2.56</td><td>.011</td></tr><tr><td>Magnitude comparison RT (ms)</td><td>-0.002</td><td>0.002</td><td>-0.06</td><td>-1.00</td><td>.32</td></tr></tbody></table><figcaption>Table 2. Multiple regression predicting arithmetic fluency. R² = .38, F(5,234) = 28.7, p < .001.</figcaption></figure>
<h2>Discussion</h2>
<p>Our findings confirm that East Asian children outperform Western children in arithmetic fluency and counting speed, consistent with prior research (Li & Yamamoto, 2019). However, magnitude comparison did not differ, suggesting that basic number sense is universal, while higher-level skills are more culturally influenced. The mediation analysis highlights the role of finger counting: systematic finger counting, more common in East Asian children, partially explains the arithmetic advantage. This supports embodied numerosity theories that link finger representation to numerical processing (Morrissey et al., 2016). Parental attitudes also mediated cultural differences in counting speed, reflecting the emphasis on practice in East Asian cultures (Li & Yamamoto, 2019). The lack of mediation for arithmetic suggests that other factors, such as linguistic transparency (Everett, 2013) or educational curricula, may be more influential.</p><p>These results have implications for education: teaching systematic finger counting could benefit Western children's arithmetic. However, our cross-sectional design limits causal inference. Future research should include longitudinal designs and explore neural correlates. Cultural differences in cognitive style (Nichols, 2021) may also interact with numerical cognition. Despite these limitations, the study provides a nuanced understanding of how culture shapes numerical development.</p>
<h2>Conclusion</h2>
<p>Cross-cultural differences in numerical cognition among children are driven by a combination of embodied practices (finger counting) and sociocultural factors (parental attitudes). East Asian children's systematic finger counting and higher parental expectations contribute to their arithmetic advantage. Basic magnitude processing appears universal. Educational interventions that promote systematic finger counting and positive math attitudes may help bridge the gap.</p>
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