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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