Developing Student Housing Quality Scale in Higher Institutions of Learning: A Factor Analysis Approach
Table 2
Exploratory factor analysis.
Rotated component matrixa
Component
1
2
3
4
CF1
.220
.808
.098
−.054
CF2
.203
.868
.105
−.024
CF3
.309
.814
.110
.013
EF1
.570
.606
−.091
.044
EF2
.542
.571
−.065
.051
SF1
.576
.408
.161
.056
SF3
.052
.047
.859
−.012
SF4
.268
.128
.759
−.019
EF3
.634
.394
.128
.025
EF4
.697
.041
.239
.026
EF5
.737
.128
.194
−.125
EF6
.747
.185
.143
−.070
SF6
.768
.257
.062
−.020
SF7
.637
.303
.030
.058
OV1
.662
.274
.028
−.014
CS2
−.067
−.003
.102
.808
CS1
.027
−.004
−.129
.799
Kaiser-Meyer-Olkin measure = 0.893; Bartlett's test of sphericity tests (: 2960.000, df: 105.000, Sig.: 0.000). Principal component analysis and varimax with Kaiser normalization.
