Table 9 Parsimonious solution for... | Emerald Publishing

Table 9

Parsimonious solution for factors influencing low travel intention

Model: ∼TI = f(SV, FV, EI, CI, IA, SA) Algorithm: Quine-McCluskey
--- Parsimonious solution ---
Frequency cutoff: 2
Consistency cutoff: 0.817555
	Raw coverage	Unique coverage	Consistency
∼SA	0.712251	0.0764348	0.759681
∼CI	0.796907	0.161091	0.813258
solution coverage: 0.873342
solution consistency: 0.74621

Model: ∼TI = f(SV, FV, EI, CI, IA, SA)Algorithm: Quine-McCluskey
--- Parsimonious solution ---
Frequency cutoff: 2
Consistency cutoff: 0.817555
	Raw coverage	Unique coverage	Consistency
∼SA	0.712251	0.0764348	0.759681
∼CI	0.796907	0.161091	0.813258
solution coverage: 0.873342
solution consistency: 0.74621

Source(s): Table created by authors