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. 2010 Nov 1;104(2):179–194. doi: 10.1007/s11205-010-9747-8

Table 2.

Multilevel linear model for life satisfaction score, ML estimates (se)

Fixed effects Model 1 Model 2 Model 3 Model 4 Model 5
Constant 7.65 (0.05) 7.65 (0.05) 7.77 (0.05) 7.74 (0.05) 7.79 (0.05)
Sex (Ref: Male) Female −0.22 (0.02) −0.22 (0.02) −0.22 (0.02) −0.18 (0.02) −0.18 (0.02)
Age −0.14 (0.02) −0.13 (0.02) −0.13 (0.02) −0.13 (0.02)
Family Structure (Ref: Both parents) Single Parent −0.47 (0.02) −0.36 (0.02) −0.35 (0.02)
Step Family −0.44 (0.03) −0.42 (0.03) −0.42 (0.03)
Other −0.95 (0.07) −0.87 (0.07) −0.86 (0.07)
Transformed FASa 0.87 (0.03) 0.85 (0.03)
Square of Transformed FASa −0.71 (0.11)
Random effects parameters
Level 1 (child) variance 3.354 (0.020) 3.353 (0.020) 3.311 (0.020) 3.256 (0.020) 3.253 (0.020)
Level 2 (school) variance 0.104 (0.008) 0.104 (0.008) 0.099 (0.008) 0.096 (0.007) 0.096 (0.007)
Level 3 (stratum) variance 0.010 (0.004) 0.009 (0.004) 0.008 (0.004) 0.011 (0.004) 0.012 (0.004)
Level 4 (country) variance 0.096 (0.025) 0.092 (0.024) 0.092 (0.024) 0.087 (0.023) 0.088 (0.023)
Pseudo-R square of model 0.004 0.005 0.018 0.035 0.036
−2logLikelihood 237,833.9 237,799.2 237,028.6 236,048.7 236,003.7
Number of parameters 2 3 6 7 8
AIC 237,837.9 237,805.2 237,040.6 236,062.7 236,019.7

Via iterative generalized least squares (IGLS)

FAS standardised using ridit transformation and centred