When suppressor effects may reflect multicollinearity artifacts: a cautionary tale from multiple object tracking and clay pigeon shooting performance

Objective To evaluate whether multiple object tracking (MOT) predicts clay pigeon shooting performance, and to illustrate how multicollinearity between demographic covariates can mimic suppressor effects. Methods 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 < 2.5). Results 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 < 0.03, uncorrected), a classical suppression pattern. Under Specification B, these effects attenuated to non-significance ( p > 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 2 = 0.15), though this estimate is illustrative given the small sample. AUC = 0.660 f 2 = 0.12. Conclusion 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.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychology
Published
2026-09-14
DOI
https://doi.org/10.3389/fpsyg.2026.1908043
Primary Topic
Sports Performance and Training
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

When suppressor effects may reflect multicollinearity artifacts: a cautionary tale from multiple object tracking and clay pigeon shooting performance

Kai Jin, Pingze Gao, Xupeng Zhang, Shuo Han
Frontiers in Psychology
Sports Performance and Training
article

When suppressor effects may reflect multicollinearity artifacts: a cautionary tale from multiple object tracking and clay pigeon shooting performance

Kai Jin, Pingze Gao, Xupeng Zhang, Shuo Han
article en

Abstract

Objective To evaluate whether multiple object tracking (MOT) predicts clay pigeon shooting performance, and to illustrate how multicollinearity between demographic covariates can mimic suppressor effects. Methods 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 < 2.5). Results 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 < 0.03, uncorrected), a classical suppression pattern. Under Specification B, these effects attenuated to non-significance ( p > 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 2 = 0.15), though this estimate is illustrative given the small sample. AUC = 0.660 f 2 = 0.12. Conclusion 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.

Frontiers in PsychologyVol. 17
Electric Power Research Institute (US), University of Electronic Science and Technology of China (CN), Southeast University (BD), Liaoning Water Conservancy Society (CN), Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 10%
Sports Performance and Training
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.