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Table 10 Rotated factor matrix and factor score coefficient matrix for overall job satisfactiona,b,c

From: Gender differences in job quality and job satisfaction among doctors in rural western China

 

Factord

 

1

2

Q1

.593 (.163)

.196 (−.066)

Q2

.804 (.215)

.290 (−.078)

Q3

.818 (.216)

.305 (−.075)

Q4

.823 (.216)

.310 (−.073)

Q5

.829 (.240)

.230 (−.114)

Q6

.808 (.214)

.299 (−.074)

Q7

.770 (.190)

.334 (−.047)

Q8

.234 (−.119)

.752 (.303)

Q9

.377 (−.067)

.750 (263)

Q10

.301 (−.101)

.775 (.295)

Q11

.208 (−.150)

.827 (.347)

Q12

.297 (−.092)

.737 (.278)

  1. Note: aExtraction method: principal component analysis. bRotation method: varimax with Kaiser normalization. cRotation converged in 3 iterations. dNumbers in parentheses are the factor score coefficient for each item