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Transactions from the Xth International Orthoptics Congress 2004

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Results<br />

The distance and near stereoacuities produced similar correlations with PD when analysed<br />

separately. Space limitations forbid a full report of each group’s data here (data <strong>from</strong> <strong>the</strong><br />

distance group have been reported elsewhere; ref. 3). Instead, we concentrate on a combined<br />

analysis, in which each participant’s results were normalised to <strong>the</strong>ir group means, yielding<br />

relative measures as <strong>the</strong> data for Pearson product moment correlations. Using relative<br />

measures eliminated <strong>the</strong> variation in PD measurements arising <strong>from</strong> using distance and near<br />

settings on <strong>the</strong> PD meter. It also eliminated differences in group means for <strong>the</strong> distance and<br />

near stereoacuities. The group means prior to normalisation were: distance PD 60.3mm (SD<br />

3.8mm); near PD 56.5mm (2.7mm), distance stereoacuity 5.3″ (2.4″), near stereoacuity 34″<br />

(14″). We interpret <strong>the</strong> latter difference as caused by differences in <strong>the</strong> details of <strong>the</strong> two<br />

Howard-Dolman displays ra<strong>the</strong>r than a genuine difference in near and distance stereoacuities.<br />

For example, apparatus factors related to <strong>the</strong> ratchet mechanism meant that <strong>the</strong> rods had to be<br />

separated by about 7.7º in <strong>the</strong> near case, as against only 0.8º for <strong>the</strong> distance settings. This<br />

wider separation is likely to have made <strong>the</strong> near task harder.<br />

Fig. 1 Frequency distribution of relative PD (N=186).<br />

Fig. 2. Frequency distribution of relative<br />

stereoacuities ( N=186)<br />

Figs. 1 and 2 show frequency distributions of <strong>the</strong> relative PDs and relative<br />

stereoacuities (equivalently, stereo thresholds). The stereoacuities were not normally<br />

distributed, showing a longer tail for <strong>the</strong> larger values as is typical in this kind of data. This<br />

skew was removed for correlations using a log transformation. Fig. 3 shows a scattergram of<br />

<strong>the</strong> correlation (r = -0.24, p

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