Table 1.
Logistic regression summary models predicting the number of correctly classified cases for the model that predicts the influence of mobile health apps on health attitudes.
| Observed effects | Participants | |||
|
|
Number of correctly predicted cases | Percentage of correctly predicted cases | ||
|
|
False | True |
|
|
| Influenced health approach | ||||
|
|
False | 377 | 294 | 56.2 |
|
|
True | 182 | 638 | 77.8 |
|
|
Overall percentage | N/Aa | N/A | 68.1 |
| Influenced health decision | ||||
|
|
False | 844 | 98 | 89.6 |
|
|
True | 321 | 228 | 41.6 |
|
|
Overall fit | N/A | N/A | 71.9 |
| Influenced consulting | ||||
|
|
False | 761 | 145 | 84.0 |
|
|
True | 334 | 252 | 43.0 |
|
|
Overall fit | N/A | N/A | 67.9 |
aN/A: not applicable.