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Table 6 One-, two-, three-, and four-factor loadings

From: How do we measure attention? Using factor analysis to establish construct validity of neuropsychological tests

  One factor Two factors Three factors Four factors
Model fit     
TLI 0.836 0.905 0.979 1.008
RMSEA 0.082 0.063 0.030 0.000
  (0.071, 0.092) (0.049, 0.075) (0.000, 0.047) (0.000, 0.029)
RMSR 0.064 0.046 0.030 0.022
BIC  − 194.227  − 224.492  − 238.140  − 204.908
SABIC 50.053  − 21.454  − 73.172  − 74.837
  FA1 FA1 FA2 FA1 FA2 FA3 FA1 FA2 FA3 FA4
Factor loadings           
MOT 0.704 0.644 0.096 0.706 0.06 0.013 0.702 0.08  − 0.002 0.011
VWM 0.603 0.54 0.098 0.731  − 0.066  − 0.004 0.743  − 0.017 0.003  − 0.076
S-Span 0.595 0.551 0.068 0.605 0.038 0.009 0.559 0.029 0.042 0.064
DSymbolCoding 0.647 0.681  − 0.044 0.478 0.265  − 0.054 0.441 0.259  − 0.035 0.062
ANS 0.493 0.384 0.173 0.49  − 0.041 0.118 0.486  − 0.073 0.058 0.117
TMT-A 0.561 0.686  − 0.167 0.032 0.686  − 0.094  − 0.001 0.748  − 0.02  − 0.058
TMT-B 0.718 0.753  − 0.023  − 0.022 0.836 0.06 0.035 0.696 0.055 0.138
L-Cancel 0.724 0.715 0.034 0.256 0.484 0.084 0.252 0.446 0.083 0.101
Search 0.235 0.241 0.002  − 0.012 0.246 0.046  − 0.002 0.329 0.12  − 0.171
BDS 0.458  − 0.021 0.827 0.039  − 0.052 0.781 0.189  − 0.092 0.547 0.08
FDS 0.483 0.114 0.631  − 0.031 0.095 0.705  − 0.035 0.03 0.921  − 0.016
Arith 0.589 0.482 0.18 0.127 0.366 0.227  − 0.004 0.014 0.002 0.992
GradCPT 0.343 0.257 0.132 0.377  − 0.084 0.096 0.354  − 0.121 0.065 0.122
Flanker  − 0.094  − 0.058  − 0.06 0.021  − 0.077  − 0.075 0.007  − 0.044  − 0.066  − 0.04