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. 2016 Apr 14;14:15. doi: 10.1186/s12960-016-0111-1

Table 6.

Rotated component matrix: components

Component
1 2 3 4 5 6 7 8
Statement 4 .714 −.183 .132
Statement 1 .672 .239 .254 .168 −.120 .196 .151
Statement 17 −.453 .372 .261 .126 −.335 .248
Statement 24 .441 −.156 .158 .195 −.200
Statement 2 −.106 .765 .304
Statement 25 .658 −.141
Statement 14 .648 .236 −.171 −.119
Statement 11 .541 −.480 .224
Statement 12 .748 .223
Statement 16 .700 .289
Statement 10 −.130 .138 .761 .257
Statement 22 .169 −.113 .708 −.108 −.165
Statement 19 .818 .135
Statement 18 −.187 .176 .104 .609 .388
Statement 9 .126 .117 .115 .201 .104 .773
Statement 23 .183 .371 .269 .106 .652 .142
Statement 21 .294 −.260 −.115 −.145 .713
Statement 5 −.327 −.275 .260 .251 137 .600

Extraction method: principal component analysis. Rotation method: varimax with Kaiser normalization. Rotation converged in 24 iterations