Table 1.

Statistical table for behavioral analyses

MeasureData structureType of testPower (parametric) or 95% confidence interval (nonparametric)
Pull forceNormal2 × 2 Repeated-measures ANOVAPull direction, 0.568; physical task, 0.360; interaction, 0.059
Sacrum marker SD (Fig. 4A)Normal2 × 2 Repeated-measures ANOVAPerturbation type, 1.00; physical task, 0.997; interaction, 0.358
Head marker SD (Fig. 4B)Normal2 × 2 Repeated-measures ANOVAPerturbation type, 1.00; physical task, 0.998; interaction, 0.378
EMG intraconditions (Fig. 5)Normal2 × 4 Repeated-measures ANOVAStand Pull (Muscle type, 1.00; body side, 1.00; interaction, 0.730); Walk Pull (Muscle type, 1.00; body side, 0.054; interaction, 0.228); Stand Rotate (Muscle type, 0.206; body side, 0.088; interaction, 0.153); Walk Rotate (Muscle type, 0.217; body side, 0.233; interaction, 0.123)
EMG interconditions (Fig. 5)Normal2 × 2 Repeated-measures ANOVAPerturbation type, 0.950; physical task, 1.00; interaction, 0.988
Behavioral adaptation (Fig. 6)Normal2 × 2 Repeated-measures ANOVAPull force (trial type, 0.698; adaptation, 0.589; interaction, 0.052); peak EMG (trial type, 1.00; adaptation, 0.379; interaction, 0.196); head marker SD (trial type, 1.00; adaptation, 0.111; interaction, 0.896); sacrum marker SD (trial type, 1.00; adaptation, 0.263; interaction, 0.174)
  • The data structure, type of statistical test used, and statistical power are shown for all behavioral statistical tests performed. We calculated two-way repeated-measures ANOVA power using the anova_stats() function from the sjstats library in R.