Table 5.
Regression analysis for success and cheating at Time 2
| Predictor Variable | Success | Cheat | ||||
|---|---|---|---|---|---|---|
| Step 1 | Step 2 | Step 3 | Step 1 | Step 2 | Step 3 | |
| 1. Age | .15 | .13 | .04 | .08 | .13 | .17 |
| 2. # of Students | − .11 | − .16 | − .03 | .46*** | .38*** | .38*** |
| 3. Year | .02 | − .03 | .01 | .06 | .06 | .04 |
| 4. MAP C1 | − .07 | − .19 | .11 | .09 | ||
| 5. MAV C1 | .02 | − .14 | − .06 | − .06 | ||
| 6. PAP C1 | .04 | − .07 | .26* | .23 | ||
| 7. PAV C1 | − .03 | .05 | − .01 | − .02 | ||
| 8. DV C1 | .32* | .31* | .28** | .28** | ||
| 9. MAP C2 | .40** | − .03 | ||||
| 10. MAV C2 | .12 | .03 | ||||
| 11. PAP C2 | − .13 | .27 | ||||
| 12. PAV C2 | .35* | − .09 | ||||
| Adjusted R2 | .01 | .07 | .30*** | .16*** | .29*** | .30*** |
Note: * p < .025, ** p < .01, *** p < .001, DV = The associated Dependent Variable as measured at C1