Table 4.
Modeling of the EKhp and RKhp Instruments
| EKhp | RKhp | |||||||
|---|---|---|---|---|---|---|---|---|
| Hypothetical Model | Model 1 | Model 2 | Model 3 | Hypothetical Model | Model 1 | Model 2 | Model 3 | |
| N of observations | 1595 | 1595 | 1595 | 1595 | 1343 | 1343 | 1343 | 1343 |
| N of dependent variables | 6 | 6 | 6 | 6 | 6 | 6 | 6 | 6 |
| N of continuous latent variables | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Chi-Square Test of Model Fit | 372.061 | 135.661 | 51.728 | 22.779 | 640.999 | 190.283 | 91.120 | 34.393 |
| Degrees of freedom | 9 | 8 | 7 | 6 | 9 | 8 | 7 | 6 |
| p-value | 0.0000 | 0.0000 | 0.0000 | 0.0009 | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
| RMSEA Root Mean Square Error of Approximation (90% CI) | 0.159 (0.145–0.173) |
0.100 (0.086–0.115) |
0.063 (0.048–0.080) |
0.042 (0.025–0.061) |
0.228 (0.213–0.243) |
0.130 (0.115–0.147) |
0.095 (0.078–0.112) |
0.059 (0.041–0.079) |
| Probability RMSEA ≤ 0.05 | 0.000 | 0.000 | 0.077 | 0.739 | 0.000 | 0.000 | 0.0000 | 0.187 |
| CFI Comparative Fit Index | 0.950 | 0.982 | 0.994 | 0.998 | 0.910 | 0.974 | 0.988 | 0.996 |
| TLI Tucker-Lewis Index | 0.916 | 0.967 | 0.987 | 0.994 | 0.850 | 0.951 | 0.974 | 0.990 |
| SRMR | 0.030 | 0.018 | 0.013 | 0.008 | 0.051 | 0.027 | 0.019 | 0.012 |
| AIC | 11700.061 | 11465.661 | 11383.728 | 11356.780 | 14568.924 | 14123.208 | 14026.045 | 13971.318 |
Abbreviations: Ekhp, The Expected Knowledge of Hospital Patients; RKhp, The Received Knowledge of Hospital Patients; SRMR, standardized root-mean-square residual; AIC, Akaike Information Criteria.