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106 T. Ishikawa, D.R. Montello / Cognitive Psychology 52 (2006) 93–129<br />

<strong>in</strong>tegrated <strong>direct</strong>ion estimates, but no change for <strong>the</strong> S-route estimates. Also, performance<br />

on <strong>the</strong> U-route actually got a little worse for three sessions before it improved.<br />

We next compared mean absolute errors <strong>in</strong> <strong>the</strong> <strong>in</strong>itial session (Session 1 for <strong>the</strong> U- and<br />

S-routes; Session 4 for <strong>in</strong>tegration) to 90°, <strong>the</strong> absolute error expected <strong>from</strong> chance performance.<br />

The mean absolute errors for <strong>the</strong> <strong>in</strong>itial session on <strong>the</strong> U-route, <strong>the</strong> S-route, and <strong>the</strong><br />

<strong>in</strong>tegrated routes were all smaller than 90°, t’s(23) D¡12.97, ¡16.35, and ¡8.41, respectively,<br />

p’s < .001. The mean absolute error of <strong>the</strong> guesses made <strong>in</strong> Session 3 about <strong>the</strong> <strong>direct</strong>ions<br />

between landmarks on <strong>the</strong> two routes was 77.6°, which was near chance but <strong>in</strong> fact<br />

smaller than 90°, t(23) D¡2.53, p < .05. However, this guess<strong>in</strong>g error was signiWcantly<br />

larger than <strong>in</strong>itial performance on <strong>the</strong> U-route, S-route, and <strong>in</strong>tegrated routes,<br />

t’s (23) D 6.21, 6.89, and 4.28, respectively, p’s < .001.<br />

3.1.3. Distance estimates<br />

To exam<strong>in</strong>e <strong>the</strong> accuracy of participants’ distance estimates, we analyzed correlations<br />

between <strong>the</strong>ir estimates and <strong>the</strong> actual distances as a measure of relative accuracy<br />

(Montello, 1991, discusses <strong>the</strong> relative vs. absolute accuracy of distance estimates,<br />

<strong>in</strong>clud<strong>in</strong>g <strong>the</strong> ambiguity of <strong>in</strong>ferr<strong>in</strong>g absolute accuracy <strong>from</strong> ratio estimation). In analyz<strong>in</strong>g<br />

distance correlations, we applied Fisher’s r-to-z transformation (but <strong>the</strong> numbers<br />

reported as correlations below are retransformed back <strong>in</strong>to Pearson’s r’s). To help <strong>in</strong>terpret<br />

patterns of estimates for <strong>the</strong> two routes, it is useful to note that actual route and<br />

straight-l<strong>in</strong>e distances were almost perfectly correlated (.99) for <strong>the</strong> S-route but weakly<br />

(.15) for <strong>the</strong> U-route.<br />

Fig. 4 shows <strong>the</strong> developmental curves for mean performance on Wve sets of distance<br />

estimates, aggregated over participants. A repeated measures ANOVA on <strong>the</strong> mean correlation<br />

across all sessions (Sessions 1–10 for <strong>the</strong> U- and S-routes; Sessions 4–10 for <strong>the</strong><br />

<strong>in</strong>tegrated routes) revealed a signiWcant diVerence among <strong>the</strong> Wve sets, F (4, 92) D 249.63,<br />

MSE D 0.07, p < .001; T 2 D 35.57, F (4, 20) D 177.84, p < .001. Post hoc paired comparisons<br />

Fig. 4. Developmental curves for mean performance on distance estimates. Po<strong>in</strong>ts represent <strong>the</strong> mean correlation<br />

(Pearson’s r) over 24 participants. Vertical l<strong>in</strong>es depict standard errors of <strong>the</strong> means. * represents <strong>the</strong> mean correlation<br />

obta<strong>in</strong>ed <strong>from</strong> <strong>the</strong> guesses made <strong>in</strong> Session 3. The correlations <strong>in</strong> <strong>the</strong> <strong>in</strong>itial session were larger than 0,<br />

except for <strong>the</strong> <strong>in</strong>tegrated routes. The developmental curve for <strong>the</strong> <strong>in</strong>tegrated routes showed a signiWcant l<strong>in</strong>ear<br />

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