[Retracted] An Empirical Study on the Impact of Customer Purchase Intention Based on Factor Analysis and Structural Equation Model

Table 6

Variances in rotated component matrix.

Factors	Measured variables	Component					Common factor extraction variance
		1	2	3	4	5
QR	QR1	.822	.094	.188	.164	.212	.792
	QR2	.748	.324	.206	.178	.246	.800
	QR3	.669	.173	.123	.172	.241	.580
QU	QU1	.183	.738	.176	.231	.118	.677
	QU2	.199	.749	.108	.227	.291	.748
	QU3	.194	.667	.302	.228	.332	.737
PR	PRI	.166	.187	.807	.228	.235	.821
	PR2	.167	.179	.829	.210	.285	.873
	PR3	.213	.167	.816	.189	.273	.849
PI	PI1	.226	.213	.293	.588	.410	.697
	PI2	.151	.210	.129	.820	.279	.834
	PI3	.170	.185	.242	.765	.292	.793
	PI4	.170	.226	.184	.787	.153	.756
PIN	PIN1	.228	.252	.222	.256	.712	.738
	PIN2	.135	.113	.280	.182	.767	.731
	PIN3	.189	.197	.191	.248	.764	.756
	PIN4	.235	.207	.166	.216	.777	.775
	PIN5	.285	.194	.241	.237	.732	.768