Component Matrix(a)
Component
1 2 3 4 5
XA11 .400 .303 -.033 -.130 -.397
XA12 .716 -.154 .205 -.400 -.224
XA13 .669 -.199 .303 -.497 -.212
XA14 .710 -.317 .084 -.272 -.282
XA15 .496 -.098 .624 .215 .148
XA16 .584 -.344 .097 .068 .397
XA17 .564 .067 .523 .012 .155
XB21 .694 .294 .065 .278 .164
XB22 .458 .478 .405 -.024 .299
XB23 .786 .055 -.012 -.122 -.004
XB24 .758 .167 -.100 -.143 .102
XB25 .587 .483 .049 -.183 .291
XB26 .718 -.384 -.162 .119 .111
XB27 .616 -.086 .210 .310 -.448
XB28 .633 .175 .185 .517 -.337
XC11 .683 .479 -.267 -.022 -.035
XC12 .730 .105 -.361 -.113 .150
XC13 .613 .289 -.350 -.128 .084
XC14 .609 .196 -.474 .219 -.158
XC15 .560 -.633 -.049 .280 .142
XC16 .616 -.550 -.373 .018 .132
XC17 .697 .092 -.115 .330 -.080
XC18 .707 -.242 -.109 -.168 .053
Extraction Method: Principal Component Analysis.
a. 5 components extracted.



雷达卡




京公网安备 11010802022788号







