"Visiting scientist effect"? Exploring the impact of time-lags in the digitization of 2D landmark data.

If the same test was done within REP, however, it would have been marginally significant ( p = 0.02, i.e., below 0.05, although above the 0.005 used in this study).

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Thus, in all REPs sexual dimorphism was small and did not reach statistical significance.

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When d7300 was excluded from the ME ANOVA to explore if it was the most impactful REP in terms of bias using all the landmarks, the reduction in Rsq of the systematic ME was modest and the bias remained highly significant (Table 2 ).

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When the bias was small (REPs of the same day), the magnitude of sexual dimorphism was appreciably overestimated (above the 95th percentiles of the results of within REP analyses reported in the same table and highlighted with a dark gray background), and in one case using the total configuration, very close to significance.

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