No. classes | Log Likelihood | DF | P | AIC | BIC | Adjusted BIC | Entropy | Smallest class |
|---|
2 | -2810.46 | 112 | 1 | 435.17 | 510.37 | 462.72 | 0.98 | 34% |
3 | -2689.01 | 104 | 1 | 208.27 | 323.57 | 250.52 | 0.86 | 17% |
4 | -2656.09 | 96 | 1 | 158.43 | 313.84 | 215.37 | 0.86 | 7% |
5 | -2644.04 | 88 | 1 | 150.34 | 345.85 | 221.98 | 0.88 | 0.60% |
- Notes. DF = degrees of freedom; AIC = Akaike information criterion, BIC = Bayesian information criterion (BIC); Input variables included: I would take a COVID-19 vaccine if offered; If there is a COVID-19 vaccine available I will get it as soon as possible; I would describe my attitude towards receiving a COVID-19 vaccine as positive; if a COVID-19 vaccine was available at my local pharmacy, I would get it as soon as possible; if my family or friends were thinking of getting a COVID-19 vaccination, I would (strongly) encourage them; I would describe myself as eager/willing to get a COVID-19 vaccine; taking a COVID-19 vaccination is important. Best-fitting model highlighted
