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        <identifier>oai:figshare.com:article/33718795</identifier>
        <datestamp>2026-09-14T05:38:02Z</datestamp>
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          <dc:title>Table 1_When suppressor effects may reflect multicollinearity artifacts: a cautionary tale from multiple object tracking and clay pigeon shooting performance.docx</dc:title>
          <dc:creator>Kai Jin (232801)</dc:creator>
          <dc:creator>Pingze Gao (24868159)</dc:creator>
          <dc:creator>Shuo Han (360375)</dc:creator>
          <dc:creator>Xupeng Zhang (1493305)</dc:creator>
          <dc:subject>Applied Psychology</dc:subject>
          <dc:subject>clay pigeon shooting</dc:subject>
          <dc:subject>multicollinearity</dc:subject>
          <dc:subject>multiple object tracking</dc:subject>
          <dc:subject>predictive validity</dc:subject>
          <dc:subject>statistical artifact</dc:subject>
          <dc:subject>Suppressor effect</dc:subject>
          <dc:subject>variance inflation factor</dc:subject>
          <dc:description>Objective&lt;p&gt;To evaluate whether multiple object tracking (MOT) predicts clay pigeon shooting performance, and to illustrate how multicollinearity between demographic covariates can mimic suppressor effects.&lt;/p&gt;Methods&lt;p&gt;Twenty shooters completed a MOT task (2–6 targets). Zero-order and partial correlations, hierarchical regression, LOOCV, VIF diagnostics, and power analysis were computed. Two specifications were compared: Specification A (age + training years, multicollinear) and Specification B (age only, VIF &lt; 2.5).&lt;/p&gt;Results&lt;p&gt;Age and training years were near-perfectly correlated (r = 0.928). Under Specification A r=0.928;VIF=11.7, MOT-5 and MOT-6 appeared as nominally significant partial correlates (r_partial ≈ 0.49, p &lt; 0.03, uncorrected), a classical suppression pattern. Under Specification B, these effects attenuated to non-significance (p &gt; 0.13). The training coefficient reversed sign (B = −2.12 despite r = +0.65), consistent with multicollinearity distortion. Power analysis indicated N ≈ 68 would be required to detect the residual effect (f&lt;sup&gt;2&lt;/sup&gt; = 0.15), though this estimate is illustrative given the small sample. AUC=0.660f2=0.12.&lt;/p&gt;Conclusion&lt;p&gt;The apparent suppressor effect is consistent with multicollinearity between age and training years rather than genuine prediction, though the small sample (N = 20) precludes definitive conclusions. Routine VIF, bootstrap stability checks, and power analysis are recommended to avoid artifacts in small-sample sports cognition research.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-14T05:38:02Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.3389/fpsyg.2026.1908043.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Table_1_When_suppressor_effects_may_reflect_multicollinearity_artifacts_a_cautionary_tale_from_multiple_object_tracking_and_clay_pigeon_shooting_performance_docx/33718795</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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