Table 1 Primary statistical results for differences between Groups, Shoes, and Phase for primary variance characteristics (Table 2): variance parallel to the UCM (VUCM), variance orthogonal (VORTH), and ratio (VRATIO) for the vertical component (LegZ) and horizontal component (LegY).

From: Assessing the effects of foot strike patterns and shoe types on the control of leg length and orientation in running

Variable

Group

Shoe

Phase

Group × Shoe

Group × Phase

Shoe × Phase

Group × Shoe × Phase

Tukey’s Shoe effects

Phase effects

LegZ

 VUCM

F(1,18) = 0.88 p = .362

F(2,36) = 0.33 p = .329

F(1,18) = 1.33 p = .264

F(2,36) = 1.47 p = .244

F(1,18) = 0.15 p = .705

F(2,36) = 0.28 p = .761

F(2,36) = 0.22 p = .802

  

 VORTH

F(1,18) = 0.13 p = .723

F(2,36) = 6.36 p = .007

F(1,18) = 104.6 p < .001

F(2,36) = 3.335 p = .079

F(1,18) = 0.02 p = .892

F(2,36) = 0.53 p = .592

F(2,36) = 1.36 p = .270

Low > med: p = .003

Low > high: p = .003

Med > high: p = .739

Pre > Post

p < .001

 VRATIO

F(1,18) = 0.43 p = .518

F(2,36) = 7.95 p = .006

F(1,18) = 221.8 p < .001

F(2,36) = 0.47 p = .534

F(1,18) = 0.11 p = .743

F(2,36) = 0.37 p = .692

F(2,36) = 0.41 p = .666

Low < med: p = .043

Low < high: p < .001

Med < high: p = .063

Pre < Post

p < .001

LegY

 VUCM

F(1,18) = 1.19 p = .290

F(2,36) = 0.74 p = .432

F(1,18) = 5.79 p = .027

F(2,36) = 1.98 p = .173

F(1,18) = 0.17 p = .689

F(2,36) = 0.26 p = .772

F(2,36) = 0.22 p = .803

 

Pre > Post

p = .027

 VORTH

F(1,18) = 0.02 p = .896

F(2,36) = 0.89 p = .409

F(1,18) = 2.08 p = .166

F(2,36) = 0.38 p = .623

F(1,18) = 0.06 p = .808

F(2,36) = 0.29 p = .750

F(2,36) = 0.12 p = .890

  

 VRATIO

F(1,18) = 4.39 p = .051

F(2,36) = 1.29 p = .287

F(1,18) = 3.83 p = .066

F(2,36) = 0.28 p = .723

F(1,18) = 0.004 p = .949

F(2,36) = 0.09 p = .909

F(2,36) = 0.23 p = .799

  
  1. ANOVA results are given for main effects and interactions. Given that interactions effects were not significant, the Tukey’s pairwise comparisons results are reported only for the main effect of shoe. Low = low minimal index shoe; med = medium minimal index shoe; high = high minimal index shoe. Statistically significant findings are in bold.