Table 7 Configural effects for predicting high and low behavioural intentions towards m-health
Configural models for predicting high behavioural intentions towards m-health | Configural models for predicting low behavioural intentions towards m-health | ||||||
|---|---|---|---|---|---|---|---|
BI = f (PE, EE, SI, FC, HM, PV, HB, SQ and QL) | ~ BI = f (PE, EE, SI, FC, HM, PV, HB, SQ and QL) | ||||||
Configural Models (Sufficient causal recipes) | Raw coverage | Unique Coverage | Consistency | Configural Models (Sufficient causal recipes) | Raw coverage | Unique Coverage | Consistency |
Model 1: ~ EE*SI* ~ FCI*HM*PV*HA*SQ* ~ QL | 0.721 | 0.010 | 0.986 | Model 1: ~ PE* ~ EE*SI* ~ PV* ~ HA *SQ*QL | 0.811 | 0.145 | 0.949 |
Model 2: PE* ~ EE*SI* ~ FCI*HM*PV*HA*SQ | 0.714 | 0.018 | 0.986 | Model 2: ~ PE* ~ EE*SI* ~ PV* ~ HA | 0.711 | 0.031 | 0.803 |
Model 3: PE*EE*SI*FC*HM*PV*HA* QL | 0.546 | 0.015 | 0.995 | ||||
Solution coverage: 0.767 | Solution coverage: 0.900 | ||||||
Solution consistency: 0.856 | Solution consistency: 0.824 | ||||||