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. Author manuscript; available in PMC: 2014 Sep 12.
Published in final edited form as: Struct Equ Modeling. 2013 Apr 15;20(2):283–298. doi: 10.1080/10705511.2013.769393

Table 2. Maximum Likelihood Estimates of the Openness Model using Different Missing Data Methods.

Effect Complete dataa FIMLbc MIbc MIbd FIMLbd

Openness on BMOpen 1.00* 1.00* 1.00* 1.00* 1.00*

Openness on AMOpen 1.24 (0.11) 1.14 (0.06) 1.13 (0.06) 1.14 (0.06) 1.14 (0.06)
(1.02, 1.46) (1.03, 1.25) (1.01, 1.25) (1.02, 1.26) (1.03, 1.25)

Openness on AFOpen 1.16 (0.11) 1.09 (0.06) 1.08 (0.06) 1.08 (0.06) 1.09 (0.06)
(0.94, 1.38) (0.98, 1.20) (0.97, 1.19) (0.97, 1.19) (0.97, 1.20)

Openness on BMSatis -0.12 (0.29) 0.28 (0.17) 0.29 (0.15) 0.31(0.15) 0.32 (0.15)
(-0.69, 0.44) (-0.04, 0.61) (-0.01, 0.59) (0.01, 0.60) (0.02, 0.62)

Openness on BMAdjust 1.37 (0.70) 0.80 (0.36) 0.78 (0.35) 0.88 (0.34) 0.87 (0.34)
(-.01, 2.74) (0.11, 1.50) (0.09, 1.47) (0.21, 1.55) (0.20, 1.54)

BFOpen on BMSatis 0.17 (0.18) 0.22 (0.17) 0.18 (0.16) 0.16 (0.13) 0.16 (0.16)
(-0.19, 0.52) (-0.12, 0.55) (-0.15, 0.50) (-0.09, 0.40) (-0.15, 0.46)

BFOpen on BMAdjust 0.61 (0.43) 0.42 (0.37) 0.47 (0.31) 0.27 (0.29) 0.29 (0.31)
(-0.23, 1.45) (-0.30, 1.13) (-0.14, 1.08) (-0.31, 0.84) (-0.33, 0.90)

Openness on BFSatisf -1.12 (0.31) -0.84 (0.26) -0.84 (0.28) -0.89 (0.32) -0.82(0.30)
(-1.73, -0.50) (-1.36, -0.33) (-1.38, -0.30) (-1.52, -0.26) (-1.40, -0.23)

Openness on BFAdjust 0.03 (0.63) -0.17 (0.57) -0.11 (0.59) -0.16 (0.66) -0.24 (0.63)
(-1.21, 1.27) (-1.29, 0.95) (-1.25, 1.04) (-1.46, 1.13) (-1.47, 1.00)

BFOpen on BFSatisf 1.01 (0.19) 1.07 (0.22) 1.02 (0.20) 1.18 (0.19) 1.20 (0.26)
(-0.19, 0.52) (0.65, 1.49) (0.62, 1.42) (0.81, 1.55) (0.69, 1.72)

BFOpen on BFAdjust 0.96 (0.40) 0.93 (0.31) 0.85 (0.35) 1.18 (0.42) 1.11 (0.34)
(0.18, 1.74) (0.31, 1.54) (0.16, 1.54) (0.36, 2.00) (0.45, 1.78)

Notes: Robust standard errors for maximum likelihood estimates are in parentheses following the estimates. Estimated 95% confidence intervals appear directly below and assume normality.

*

Factor loading was set equal to 1.

a

n = 93;

b

n= 359;

c

model excludes auxiliary variables.

d

model includes auxiliary variables.