Table 3 Standardised loadings (pattern matrix) based upon correlation matrix for the three components (C1, C2, and C3) solution using orthogonal (i.e., Varimax) rotation of the loading matrix for the initial principal component analysis (PCA) (panel A) and the final PCA (panel B).

Primary loadings > ± 0.40 are shown in bold. Secondary loadings > ± 0.30 are underlined. The column "h2" contains the component communalities (i.e., the amount of variance in each index variable explained by the components). The column "u2" contains the component uniquenesses (i.e., the amount of variance not accounted for by the components—or 1–h2). The column "com" reports the Hoffman's index of complexity for each item (i.e., the number of latent components required to account for the observed variables)^88,89. Panel C) Validation of component analysis by split sample estimation with Varimax rotation. The two tables report standardised loadings (pattern matrix) based upon correlation matrix for the three components (C1, C2, and C3) solution using Varimax oblique rotations of the loading matrix for the two samples. Primary loadings > ± 0.40 are shown in bold. The column "h2" contains the component communalities (i.e., the amount of variance in each index variable explained by the components).
sHP horizontal placement accuracy, sVP vertical placement accuracy, sLG length accuracy, sIC inclination accuracy, pBR base rectangle priority, pOR organisation by relevance, pFR fragmentation, kVL mean velocity, kAC mean acceleration, kDC mean deceleration, kPK number of peak velocity.

Search