106
Tabela 9 - Matriz dos fatores rotacionados
,786 ,169 ,227 ,049 ,312 -,062 ,010
,816 ,222 ,184 -,107 ,189 ,065 -,035
,760 ,088 ,116 ,202 ,266 -,092 -,046
,607 ,032 -,108 ,090 ,252 ,130 ,413
-,154 -,090 ,679 -,053 ,278 ,505 ,131
-,174 ,152 ,257 ,704 ,123 ,029 ,260
,094 ,021 ,080 ,165 ,071 ,842 -,018
,521 ,154 -,075 ,259 ,056 ,509 ,270
,604 ,057 -,006 ,312 -,086 ,235 ,226
,696 ,364 ,140 -,157 ,141 -,003 ,270
,311 ,106 ,114 ,662 ,003 -,010 ,117
-,222 -,335 -,066 -,076 ,107 ,003 -,731
,191 ,755 ,082 ,304 -,018 ,029 ,165
,089 ,864 ,113 ,068 ,226 ,062 ,095
,512 ,554 ,156 -,059 ,409 ,141 -,035
,220 ,323 -,032 ,129 ,742 ,104 -,024
,774 -,088 ,052 ,088 -,231 ,142 ,121
,107 ,170 ,749 -,017 -,113 ,312 -,038
,358 ,078 ,704 ,148 ,301 -,085 ,108
,243 ,233 ,659 ,226 -,064 -,283 -,053
,354 -,098 ,259 ,170 ,628 ,054 ,110
,555 ,019 ,163 -,251 ,050 ,558 -,055
,093 -,580 -,185 ,417 ,405 ,238 -,099
-,067 -,020 -,074 ,776 ,151 ,125 -,293
,571 -,056 ,005 -,088 ,252 ,018 ,574
,696 ,102 ,115 -,057 ,248 ,174 ,326
V1
V2
V3
V4
V5
V6
V7
V8
V9
V10
V11
V13
V14
V15
V16
V17
V18
V20
V21
V22
V23
V24
V27
V28
V31
V33
1 2 3 4 5 6 7
Component
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Rotation conver
ed in 15 iterations.
a.
Extraídos 6 fatores, as variáveis são alocadas da seguinte forma:
Quadro 8 - Variáveis Agrupadas em Fatores
Fator 1 1, 2, 3, 4, 8, 9, 10, 18, 31, 33
Fator 2 13, 14, 15, 16, 27
Fator 3 5, 20, 21, 22
Fator 4 6, 11, 28
Fator 5 17, 23
Fator 6 7, 24