Developing Student Housing Quality Scale in Higher Institutions of Learning: A Factor Analysis Approach

Table 3

Confirmatory factor analysis of remaining 15 SHQ items.

	Rotated component matrix^a
Component
	1	2	3	4
CF1	.251	.831	.068	−.039
CF2	.249	.885	.067	−.010
CF3	.358	.809	.080	.023
SF1	.604	.356	.166	.052
SF3	.055	.053	.864	−.014
SF4	.278	.115	.768	−.023
EF3	.651	.352	.131	.022
EF4	.689	.039	.229	.027
EF5	.738	.119	.179	−.125
EF6	.767	.165	.116	−.069
SF6	.791	.214	.048	−.023
SF7	.691	.253	−.009	.057
OV1	.712	.263	−.039	−.007
CS2	.014	−.008	−.113	.799
CS1	−.048	−.003	.081	.811

Variance explained = 65.37%.
Principal component analysis and varimax with Kaiser normalization.