. 2020 Dec 21;20:1922. doi: 10.1186/s12889-020-10035-6

Table 2.

Regression models of COVID-19 question responses

	(1) Ordered Logit	(2) Ordered Logit	(3) Binary Logit	(4) Ordered Logit	(5) Ordered Logit	(6) Binary Logit
VARIABLES	National Likelihood	Local Vulnerability	National, not Local	National Likelihood	Local Vulnerability	National, not Local
# of Cases confirmed
# of cases (100’s) in United States confirmed by 2:00 PM of the study date	0.173^b	0.110^b	−0.000
	(0.038)	(0.036)	(0.045)
# of cases in Louisiana confirmed by 2:00 PM of the study date				0.104^b	0.073^b	−0.004
				(0.026)	(0.025)	(0.031)
Personal Characteristics:
Female	0.536^b	0.099	0.178	0.563^b	0.108	0.185
	(0.215)	(0.208)	(0.264)	(0.214)	(0.208)	(0.263)
Age × Student Status: (Base: 18–24 × Student)	Joint p = 0.100^a	Joint p = 0.027^b	Joint p = 0.095^a	Joint p = 0.093^a	Joint p = 0.035^b	Joint p = 0.091^a
25–44 × Student	0.273	0.858^b	−0.366	0.198	0.803^b	−0.370
25–44 × Student	(0.381)	(0.371)	(0.486)	(0.380)	(0.370)	(0.485)
18–24 × Non-student	0.369	0.246	0.178	0.372	0.247	0.179
18–24 × Non-student	(0.255)	(0.243)	(0.294)	(0.255)	(0.243)	(0.294)
25+ × Non-student	− 0.710^a	0.965^b	−1.773^b	−0.750^a	0.950^b	−1.781^b
25+ × Non-student	(0.430)	(0.412)	(0.773)	(0.429)	(0.411)	(0.772)
HH Income: (Base: $14,999 or less per year)	Joint p = 0.118	Joint p = 0.258	Joint p = 0.336	Joint p = 0.082^a	Joint p = 0.218	Joint p = 0.338
$15,000–$49,999 per year	0.081	−0.453	0.369	0.053	− 0.468	0.369
$15,000–$49,999 per year	(0.330)	(0.316)	(0.406)	(0.330)	(0.316)	(0.406)
$50,000 - $99,999 per year	−0.668^a	− 0.230	− 0.109	− 0.719^a	−0.270	− 0.106
$50,000 - $99,999 per year	(0.372)	(0.361)	(0.460)	(0.372)	(0.362)	(0.460)
$100,000 or more per year	−0.400	− 0.766^b	0.716	− 0.428	− 0.801^b	0.717
$100,000 or more per year	(0.370)	(0.352)	(0.438)	(0.371)	(0.352)	(0.438)
Prefer not to answer	−0.566^a	− 0.433	0.107	− 0.627^b	− 0.485	0.107
Prefer not to answer	(0.318)	(0.308)	(0.394)	(0.318)	(0.309)	(0.394)
Race: (Base: Non- Hispanic White)	Joint p = 0.500	Joint p = 0.011^b	Joint p = 0.221	Joint p = 0.503	Joint p = 0.015^b	Joint p = 0.213
Non-Hispanic Black	0.213	0.590^b	−0.573	0.171	0.564^b	−0.577^a
Non-Hispanic Black	(0.292)	(0.278)	(0.349)	(0.291)	(0.277)	(0.348)
All Others	−0.156	0.698^b	−0.348	− 0.190	0.672^b	− 0.351
All Others	(0.261)	(0.256)	(0.333)	(0.260)	(0.255)	(0.331)
Health Insurance	−0.118	0.202	0.196	−0.151	0.177	0.195
Health Insurance	(0.339)	(0.325)	(0.429)	(0.336)	(0.324)	(0.428)
Recycle	0.543	0.624^a	0.097	0.570	0.643^a	0.099
Recycle	(0.374)	(0.328)	(0.419)	(0.376)	(0.329)	(0.419)
Compost	0.071	0.210	−0.108	0.010	0.184	−0.111
Compost	(0.233)	(0.227)	(0.286)	(0.231)	(0.226)	(0.285)
Aware of Food Waste	−0.121	0.039	−0.018	− 0.110	0.051	− 0.019
Aware of Food Waste	(0.215)	(0.209)	(0.261)	(0.215)	(0.209)	(0.261)
Eat a Healthy Diet	−0.547^b	− 0.285	− 0.004	−0.553^b	− 0.297	−0.003
Eat a Healthy Diet	(0.269)	(0.256)	(0.331)	(0.269)	(0.257)	(0.331)
In-Person Recruitment	0.135	−0.188	0.698^b	0.143	−0.185	0.697^b
In-Person Recruitment	(0.228)	(0.214)	(0.272)	(0.229)	(0.215)	(0.272)
Randomly Assigned Experimental Elements:
Food Waste Info	0.378^a	0.550^b	−0.223	0.371^a	0.550^b	−0.224
Food Waste Info	(0.206)	(0.201)	(0.252)	(0.206)	(0.201)	(0.252)
Nutrition Info	0.191	−0.072	0.314	0.183	−0.077	0.313
Nutrition Info	(0.206)	(0.200)	(0.250)	(0.206)	(0.200)	(0.250)
Vegetable Group	−0.424^a	−0.001	−0.069	− 0.383	−0.009	− 0.050
Vegetable Group	(0.246)	(0.234)	(0.293)	(0.248)	(0.237)	(0.297)
Large Plate	0.340	−0.067	0.232	0.339	−0.050	0.225
Large Plate	(0.223)	(0.214)	(0.270)	(0.224)	(0.215)	(0.271)
Compostable Plate	0.189	0.034	0.051	−0.045	−0.119	0.055
Compostable Plate	(0.224)	(0.214)	(0.267)	(0.222)	(0.213)	(0.265)
Veg Top of Menu	0.046	−0.187	0.247	0.043	−0.185	0.246
Veg Top of Menu	(0.213)	(0.204)	(0.257)	(0.213)	(0.204)	(0.257)
Constant cut1 Constant cut2	−2.342^b	−0.932		−2.799^b	−1.232^b
	(0.691)	(0.627)		(0.682)	(0.611)
	−0.803	0.614		−1.270^b	0.314
	(0.657)	(0.621)		(0.647)	(0.604)
Constant cut3	−0.031	1.173^a		−0.506	0.872
Constant cut3	(0.655)	(0.623)		(0.643)	(0.605)
Constant cut4	1.940^b	2.823^b		1.444^b	2.519^b
Constant cut4	(0.662)	(0.640)		(0.646)	(0.620)
Constant			−1.753^b			− 1.744^b
Constant			(0.779)			(0.760)
Observations	353	353	353	353	353	353
Pseudo R²	0.063	0.046	0.071	0.058	0.045	0.071

Notes: ^b, ^a denotes a statistical significance at the 5 and 10% level. Standard errors of the estimated logit coefficient parameters are presented in parentheses. Variable importance factors from complementary Classification Tree Analyses (see Table 3 and Figures S3-S4 for full classification tree results), where larger numbers represent variables with greater predictive capacity