Table 3.

Results of the selected best fit, mixed-effect logistic regression model (Model 8; see Table S1) for Experiment One.

Parameter	Odds Ratio	Lower Bound	Upper bound	p-values
Intercept (Infection Risk @ 5%, Linguistic Message, Diagnosis Certainty @ 70)	3.337	1.811	6.149	<0.001
Diagnosis Certainty @ 100	0.206	0.132	0.321	<0.001
Psychological Distance	0.516	0.345	0.774	0.001
Numeric Message	0.448	0.291	0.690	<0.001
Infection Risk @ 15%	4.342	2.662	7.083	<0.001
Infection Risk @ 25%	5.223	3.168	8.612	<0.001
Order of Play	1.009	0.994	1.025	0.231
Diagnosis Certainty @ 100 by Numeric Message	1.451	0.775	2.716	0.245
Numeric Message by Infection Risk @ 15%	0.565	0.294	1.084	0.086
Numeric Message by Infection Risk @ 25%	0.868	0.446	1.692	0.678
Diagnosis Certainty @ 100 by Infection Risk @ 15%	8.152	3.937	16.883	<0.001
Diagnosis Certainty @ 100 by Infection Risk @ 25%	25.046	10.259	61.143	<0.001
Diagnosis Certainty @ 100 by Numeric Message by Infection Risk @ 15%	0.332	0.128	0.861	0.023
Diagnosis Certainty @ 100 by Numeric Message by Infection Risk @ 25%	0.451	0.147	1.389	0.166

Depicted here are the odds ratios for the fixed effects describing relationships with the binary response variable: compliance with the biosecurity protocol. Bold values indicate significance at alpha = 0.05.