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The influence of the place-value structure of the Arabic number ...

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child separately to obtain estimation accuracy. To compare overall estimation accuracy<br />

between Italian and Austrian children an univariate ANCOVA with <strong>the</strong> factor language and<br />

<strong>the</strong> covariate T-<strong>value</strong> <strong>of</strong> CFT1 was computed.<br />

In a second step, R² adjusted by <strong>the</strong> <strong>number</strong> <strong>of</strong> free parameters <strong>of</strong> <strong>the</strong> respective model<br />

(i.e., 2 in <strong>the</strong> case <strong>of</strong> <strong>the</strong> logarithmic model vs. 3 in <strong>the</strong> case <strong>of</strong> <strong>the</strong> two-linear model with fixed<br />

breakpoint) as a measure <strong>of</strong> goodness <strong>of</strong> fit independent <strong>of</strong> <strong>influence</strong>s <strong>of</strong> model proximity<br />

(e.g., Kyllonen, Lohman, & Woltz, 1984) was computed for a linear and a logarithmic fitting<br />

function for each child individually (see also Appendix A for fur<strong>the</strong>r discussion and analyses<br />

addressing <strong>the</strong> issue <strong>of</strong> possible model overfitting). Analogous to Moeller et al. (2009a), for<br />

<strong>the</strong> scale 0-100 adjusted R² for a segmented two-linear regression with <strong>the</strong> fixed break point at<br />

10 was computed for each child individually. Mean adjusted R² <strong>value</strong>s for <strong>the</strong> different fitting<br />

models (simple linear, logarithmic, and two-linear) for <strong>the</strong> Italian-speaking children were<br />

compared by paired samples t-tests. All pair wise comparisons were Bonferroni-Holm<br />

corrected (Holm, 1979) to account for alpha accumulation in multiple comparisons.<br />

Additionally, R² <strong>value</strong>s were arcsine transformed prior to <strong>the</strong> analyses as <strong>the</strong>y cannot be<br />

assumed to be normally distributed.<br />

Finally, in a last step estimation performance for items with a small interdigit distance<br />

(i.e., 2; to-be-estimated <strong>number</strong>s: 35, 53, 64, and 75) were contrasted to items with a large<br />

interdigit distance (i.e., 3-6; to-be-estimated <strong>number</strong>s: 27, 47, 82, 95) to evaluate <strong>the</strong> origin <strong>of</strong><br />

possible language differences. Please note that <strong>the</strong>se two sets <strong>of</strong> items did not differ in<br />

problem size as reflected by <strong>the</strong> mean magnitude <strong>of</strong> <strong>the</strong> four <strong>number</strong>s each [PS; t(3) = 0.35, p<br />

= .75; mean PS for small interdigit distance: 56.75; large interdigit distance: 62.75]. To<br />

substantiate <strong>the</strong> interpretation <strong>of</strong> <strong>the</strong> latter analysis it was evaluated whe<strong>the</strong>r <strong>the</strong> under-<br />

/overestimation possibly provoked when confusing tens and units <strong>of</strong> <strong>the</strong>se <strong>number</strong>s was more<br />

pronounced in German- as compared to Italian-speaking children. As both German- and<br />

Italian-speaking children underestimated above mentioned two-digit <strong>number</strong>s (i.e., 27, 35, 47,<br />

97

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