Table 9.
Model | 9 | 10 | 11 | |||||
Treatment effects | Est | SE | Est | SE | Est | SE | ||
Fixed effects |
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Intercept | 6.80g | 0.49 | 6.59g | 0.58 | 6.65g | 0.70 | |
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Lineara | –0.81 | 0.85 | –0.81 | 0.85 | –0.83 | 0.85 | |
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Quadraticb | 0.29 | 0.55 | 0.29 | 0.55 | 0.29 | 0.55 | |
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Cubicc | –0.03 | 0.07 | –0.03 | 0.07 | –0.03 | 0.07 | |
Predictors |
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Treatmentd | –0.45 | 0.51 | –0.09 | 0.83 | –0.58 | 0.95 | |
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Treatment×linear | –3.45g | 1.28 | –3.45g | 1.28 | –3.27g | 1.28 | |
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Treatment×quadratic | 2.23g | 0.84 | 2.23g | 0.84 | 2.23g | 0.83 | |
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Treatment×cubic | –0.28g | 0.11 | –0.28g | 0.11 | –0.28g | 0.11 | |
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Gendere | 1.07g | 0.42 | 1.37g | 0.57 | 1.81g | 0.71 | |
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Age | –0.04g | 0.02 | –0.08g | 0.03 | –0.08g | 0.03 | |
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Educationf | –0.47 | 0.35 | –0.47 | 0.49 | –1.39g | 0.60 | |
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Treatment×gender |
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–0.48 | 0.81 | –0.23 | 1.01 | |
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Treatment×age |
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0.07 | 0.04 | 0.05 | 0.04 | |
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Treatment×education |
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0.02 | 0.72 | 0.68 | 0.87 | |
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Linear×gender |
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–0.16 | 0.15 | |
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Linear×age |
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0.00 | 0.01 | |
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Linear×education |
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0.34 | 0.14 | |
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Linear×treatment×gender |
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–0.09 | 0.22 | |
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Linear×treatment×age |
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0.01 | 0.01 | |
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Linear×treatment×education |
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–0.24 | 0.21 | |
Random effects |
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σ2 within participants | 10.29g | 0.57 | 10.28g | 0.57 | 10.10g | 0.59 | |
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σ2 between participants |
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Intercept | 6.02g | 1.00 | 5.93g | 0.98 | 5.81g | 1.00 |
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Intercept, slope | –0.25 | 0.14 | –0.27 | 0.14 | –0.19 | 0.16 |
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Slope | 0.01 | 0.00 | 0.01 | 0.00 | 0.01 | 0.01 |
Model fit indexes |
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AIC | 5665.48 |
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5665.09 |
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5676.43 |
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–2LL (χ2) | 5635.48 |
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5629.09 |
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5604.43 |
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R 2 (level 1) | 0.06 |
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0.06 |
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0.07 |
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aLinear: 0 = baseline, 1 = 1 month, 2 = 2 months, 6 = 6 months.
bQuadratic: 0 = baseline, 1 = 1 month, 4 = 2 months, 36 = 6 months.
cCubic: 0 = baseline, 1 = 1 month, 8 = 2 months, 216 = 6 months.
dTreatment: 0 = control group, 1 = LS group.
eGender: 0 = male, 1 = female.
fEducation: 0 = ≤1-3 years of college/university, 1 = ≥4-5 years of college/university.
g P<.05.