Table 4.
Output from the regression analysis (Study 2)
Predictor | ß estimate | t-value | p-value | 95% CI | η2p |
---|---|---|---|---|---|
Baseline | .55*** | 9.03 | < .001 | [.43, .67] | .36 |
PAV goals | –.12 | –0.73 | .47 | [–.47, .22] | .00 |
PAP goals | .35† | 1.81 | .07 | [–.03, .73] | .02 |
CONT | –.04 | –0.12 | .90 | [–.82, .73] | .00 |
PAP goals * PAV goals | .16† | 1.66 | .09 | [–.03, .36] | .02 |
Baseline * PAV goals | –.09† | –1.88 | .06 | [–.18, .00] | .02 |
Baseline * CONT | .21† | 1.75 | .08 | [–.03, .45] | .02 |
PAV Goals * CONT | –.71* | –2.51 | .02 | [–1.27, –.15] | .04 |
Baseline * PAV Goals * CONT | –.10 | –1.15 | .25 | [–.27, .07] | .01 |
“Baseline”, Baseline level of achievement; “PAV”, Performance-avoidance; “PAP”, Performance approach goals; “CONT” Contrast coding for the experimental manipulation; 95% CI, Lower and upper limits of 95% confidence interval; η2p, Partial eta square
*** p < .0001, ** p < .01, * p < .05, † p < .10