Table 5.
Multinomial regression of consumer knowledge group
Overestimation group |
Underestimation group |
Knowledge group |
||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
B | SE | Exp(B) | p | B | SE | Exp(B) | p | B | SE | Exp(B) | p | |
Gender | .035 | .200 | 1.035 | .861 | .252 | .190 | 1.286 | .185 | −.083 | .185 | .921 | .656 |
Age | −.007 | .009 | .993 | .452 | .001 | .009 | 1.001 | .945 | −.006 | .009 | .994 | .475 |
Education | .356 | .179 | 1.427 | .047 | −.254 | .143 | .776 | .076 | .109 | .155 | 1.116 | .481 |
Monthly income | .320 | .079 | 1.377 | .000 | .175 | .078 | 1.192 | .025 | .226 | .075 | 1.253 | .003 |
Food involvement | .416 | .156 | 1.516 | .007 | .208 | .140 | 1.231 | .137 | .681 | .153 | 1.976 | .000 |
Health involvement | .160 | .161 | 1.173 | .321 | .180 | .151 | 1.198 | .232 | .220 | .150 | 1.246 | .144 |
Media dependency | .289 | .222 | 1.334 | .194 | −.085 | .236 | .919 | .720 | .356 | .209 | 1.427 | .089 |
GM foods-related information tendency | −.490 | .124 | .613 | .000 | .034 | .114 | 1.035 | .765 | −.015 | .111 | .985 | .891 |
Notes: Reference group = ignorance group; −2Log likelihood = 2.336E3; Chi-square = 136.703 (df = 24, p <.000); Gender (0 = female, 1 = male); Education (0 = No education, 1 = Elementary school, 2 = Middle school, 3 = High school, 4 = College, 5 = Graduate school); Monthly income (1 = under 1 million, 2 = 1–1.99 million, 3 = 2–2.99 million, 4 = 3 − 3.99 million, 5 = 4–4.99 million, 6 = 5–5.99 million, 7 = 6–6.99 million, 8 = 7 million +); Media dependency (0 = off-line, 1 = on-line); GM foods-related information tendency are scored on a 5-point Likert scale, with responses ranging from 1 (very negative) to 5 (very positive), with a higher score corresponding to a greater positive orientation. GM = genetically modified.