Table 1 List of logistic regression... | Emerald Publishing

Table 1

List of logistic regression models

	Data set	Response variable (Y)	Explanatory variable(s)	Assumed data-generating process	Logit
Model 1	All participants	Chocolate (0 = regular, 1 = Fairtrade)	Dummy for conspicuousness (I = 0, C = 1), C	Y_i follows Bernoulli distribution, i = 1, 2, …, n	β₀ + β₁*C
Model 2	All participants	Chocolate (0 = regular, 1 = Fairtrade)	C and self-monitoring	Y_i follows Bernoulli distribution, i = 1, 2, …, n	β₀ + β₁*C + β₂self_mon + β₃C*self_mon
Model 3	Only conspicuous	Chocolate (0 = regular, 1 = Fairtrade)	Self-monitoring	Y_i follows Bernoulli distribution, i = 1, 2, …, n	β₀ + β₁*self_mon
Model 4	All participants	Chocolate (0 = regular, 1 = Fairtrade)	C and ATSCI	Y_i follows Bernoulli distribution, i = 1, 2, …, n	β₀ + β₁*C + β₂*ATSCI

	Data set	Response variable (Y)	Explanatory variable(s)	Assumed data-generating process	Logit
Model 1	All participants	Chocolate (0 = regular, 1 = Fairtrade)	Dummy for conspicuousness (I = 0, C = 1), C	Y_i follows Bernoulli distribution, i = 1, 2, …, n	β₀ + β₁*C
Model 2	All participants	Chocolate (0 = regular, 1 = Fairtrade)	C and self-monitoring	Y_i follows Bernoulli distribution, i = 1, 2, …, n	β₀ + β₁C + β₂self_mon + β₃Cself_mon
Model 3	Only conspicuous	Chocolate (0 = regular, 1 = Fairtrade)	Self-monitoring	Y_i follows Bernoulli distribution, i = 1, 2, …, n	β₀ + β₁*self_mon
Model 4	All participants	Chocolate (0 = regular, 1 = Fairtrade)	C and ATSCI	Y_i follows Bernoulli distribution, i = 1, 2, …, n	β₀ + β₁C + β₂ATSCI

Source(s): Authors’ own work