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. Author manuscript; available in PMC: 2021 Aug 1.
Published in final edited form as: Mult Scler. 2019 Jun 7;26(9):1111–1120. doi: 10.1177/1352458519852725

Table 2. Principal Components Analysis Validating Composites.

The following pattern matrix was derived from the principal components analysis, which yielded four independent components (eigenvalues ≥ 1.0) validating our four sub-composites: (1) Cognitive Efficiency, (2) Memory, (3) Gross Motor, (4) Fine Motor. Loadings ≥ .40 are shown.

Pattern Matrix
1 2 3 4
PC 0.846
DS 0.689
SDMT 0.614
Stroop 0.540
SRT 0.774
V-PAL 0.762
PAL 0.714
BVMT-R 0.621
T25FW 0.885
2MWT −0.793
Grip −0.546
FTT −0.697
NHPT 0.658
G-Pegs −0.623