Table 5 Parsimonious solution for... | Emerald Publishing

Table 5

Parsimonious solution for factors influencing high travel intention

Model: TI = f(SA, IA, CI, EI, FV, SV) Algorithm: Quine-McCluskey
--- Parsimonious solution ---
Frequency cutoff: 2
Consistency cutoff: 0.816916
	Raw coverage	Unique coverage	Consistency
EI*CI	0.723751	0.0210161	0.879671
SV*IA	0.661051	0.00738174	0.85174
FV*IA	0.645679	0.0115501	0.867359
CI*IA	0.70864	0.00616586	0.864315
SV*EI	0.678593	0.0206687	0.860668
solution coverage: 0.843856
solution consistency: 0.794392

Model: TI = f(SA, IA, CI, EI, FV, SV)Algorithm: Quine-McCluskey
--- Parsimonious solution ---
Frequency cutoff: 2
Consistency cutoff: 0.816916
	Raw coverage	Unique coverage	Consistency
EI*CI	0.723751	0.0210161	0.879671
SV*IA	0.661051	0.00738174	0.85174
FV*IA	0.645679	0.0115501	0.867359
CI*IA	0.70864	0.00616586	0.864315
SV*EI	0.678593	0.0206687	0.860668
solution coverage: 0.843856
solution consistency: 0.794392

Source(s): Table created by authors