TABLE 3.
Beta and Poisson regression models testing whether response rates and behaviors differed across study day and enrollment method. Incident Rate Ratio (IRR) shown.
| Response rates | |||||||||
| Daily diary | Exp. sample | Event-cont. | |||||||
| IRR | SE | p | IRR | SE | p | IRR | SE | p | |
| Study day | 0.99 | .02 | .626 | 1.00 | .01 | .754 | 0.97 | .00 | <.001 |
| Enrolled online | 0.97 | .40 | .936 | 0.81 | .11 | .123 | 0.90 | .06 | .137 |
| Study day x enrollment type | 1.03 | .02 | .165 | 1.00 | .01 | .706 | 1.00 | .01 | .376 |
| Behavior reports | |||||||||
| Alcohol use | Drug use | Sex event | |||||||
| β | SE | p | β | SE | p | β | SE | p | |
| Study day | −0.03 | .01 | <.001 | −0.01 | .01 | .608 | −0.01 | .01 | .332 |
| Enrolled online | −0.09 | .14 | .551 | 0.72 | .10 | <.001 | 0.09 | .18 | .617 |
| Study day x enrollment type | 0.01 | .01 | .394 | −0.01 | .01 | .268 | −0.01 | .01 | .548 |
Note. p < .05 values shown in bold.