Table 4.

Estimation results of the partial proportional odds model

Partial proportional odds model estimates
Log likelihood = –513.31358
No. of observations = 475
LR χ2 (11) = 185.40
Prob > χ2 = 0.0000
Pseudo R2 = 0.1530
VariablesCoef.Std. err.zP >|z|[95% Conf. interval]
Beta  
FAC_1–0.72570.2730–2.660.008–1.2608–0.1906
FAC_3–2.38540.3773–6.320.000–3.1249–1.6458
FAC_50.74530.33282.240.0250.09311.3975
FAC_60.83530.38752.160.0310.07591.5947
FAC_7–1.13910.5131–2.220.026–2.1448–0.1334
FAC_10–2.83640.5097–5.570.000–3.8354–1.8375
FAC_110.97570.39212.490.0130.20721.7442
FAC_122.38620.91022.620.0090.60224.1701
FAC_13–1.23880.5924–2.090.037–2.3998–0.0777
FAC_140.98230.44612.200.0280.10791.8567
Gamma_2
FAC_140.15520.3854–2.640.008–0.60010.9106
Gamma_3
FAC_14–2.86181.08400.400.687–4.9863–0.7373
Alpha
_cons_10.85600.18294.680.0000.49751.2145
_cons_2–0.69930.1802–3.880.000–1.0525–0.3461
_cons_3–2.03250.2209–9.200.000–2.4656–1.5995

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