Table 2. Hierarchical linear regression models predicting the affective states after the 10-kilometer race. |
Dependent variable |
Energetic Arousal |
Tense Arousal |
Hedonic Tone |
Model |
Predictors |
B (SE B) |
β |
p |
F (R2) |
B (SE B) |
β |
p |
F (R2) |
B (SE B) |
β |
p |
F (R2) |
I |
Gender |
-.16 (.55) |
-.03 |
.767 |
4.18 (.148) |
-.10 (.37) |
-.02 |
.791 |
4.13 (.146) |
-.46 (.55) |
-.07 |
.401 |
4.50 (.157) |
Age |
-.03 (.03) |
-.10 |
.212 |
.01 (.02) |
.05 |
.506 |
-.04 (.03) |
-.12 |
.144 |
Personal best |
-.00 (.00) |
-.14 |
.118 |
-.00 (.00) |
-.02 |
.858 |
-.00 (.00) |
-.08 |
.378 |
CR |
.05 (.05) |
.08 |
.319 |
-.04 (.03) |
-.09 |
.257 |
.12 (.05) |
.21 |
.011 |
PS |
.28 (.08) |
.29 |
<0.001 |
-.09 (.05) |
-.14 |
.078 |
.07 (.08) |
.07 |
.356 |
PC |
-.15 (.05) |
-.23 |
.004 |
.15 (.03) |
.35 |
<0.001 |
-.19 (.05) |
-.29 |
<0.001 |
II |
Gender |
-.21 (.55) |
-.03 |
.697 |
3.85 (.196) |
-.09 (.37) |
-.02 |
.808 |
3.41 (.178) |
-.47 (.55) |
-.07 |
.395 |
3.28 (.172) |
Age |
-.03 (.03) |
-.09 |
.278 |
.01 (.02) |
.06 |
.492 |
-.04 (.03) |
-.11 |
.163 |
Personal best |
-.00 (.00) |
-.14 |
.123 |
-.00 (.00) |
-.01 |
.931 |
-.00 (.00) |
-.08 |
.362 |
CR |
.08 (.05) |
.13 |
.124 |
-.05 (.03 |
-.12 |
.161 |
.13 (.05) |
.23 |
.007 |
PS |
.23 (.08) |
.23 |
.004 |
-.07 (.05) |
-.11 |
.177 |
.04 (.08) |
.05 |
.586 |
PC |
-.13 (.05) |
-.20 |
.012 |
.15 (.03) |
.34 |
<0.001 |
-.18 (.05) |
-.28 |
<0.001 |
CR x PS |
.03 (.01) |
.19 |
.019a |
-.02 (.01) |
-.18 |
.028 |
.02 (.01) |
.12 |
.147 |
CR x PC |
-.02 (.01) |
-.14 |
.092b |
.00 (.01) |
-.00 |
.960 |
-.00 (.01) |
-.03 |
.732 |
PS x PC |
-.03 (.02) |
-.12 |
.131 |
.01 (.01) |
.04 |
.596 |
-.01 (.02) |
-.06 |
.458 |
III |
Gender |
-.27 (.54) |
-.04 |
.622 |
3.79 (.212) |
-.04 (.36) |
-.01 |
.921 |
3.75 (.210) |
-.49 (.56) |
-.08 |
.385 |
2.94 (.173) |
Age |
-.04 (.03) |
-.11 |
.179 |
.02 (.02) |
.09 |
.285 |
-.04 (.03) |
-.12 |
.152 |
Personal best |
-.00 (.00) |
-.12 |
.177 |
.00 (.00) |
-.03 |
.714 |
-.00 (.00) |
-.08 |
.390 |
CR |
.10 (.05) |
.17 |
.052 |
-.07 (.03) |
-.17 |
.043 |
.14 (.05) |
.24 |
.007 |
PS |
.23 (.08) |
.23 |
.004 |
-.07 (.05) |
-.11 |
.176 |
.04 (.08) |
.04 |
.589 |
PC |
-.14 (.05) |
-.22 |
.007 |
.16 (.03) |
.37 |
<0.001 |
-.18 (.05) |
-.28 |
<0.001 |
CR x PS |
.03 (.01) |
.16 |
.048 |
-.02 (.01) |
-.14 |
.088 |
.02 (.01) |
.11 |
.181 |
CR x PC |
-.02 (.01) |
-.19 |
.027 |
.01 (.01) |
.08 |
.363 |
-.01 (.01) |
-.04 |
.643 |
PS x PC |
-.03 (.02) |
-.15 |
.065 |
.01 (.01) |
.09 |
.291 |
-.01 (.02) |
-.07 |
.420 |
CR x PS x PC |
-.01 (.01) |
-.15 |
.095 |
.01 (.00) |
.22 |
.018c |
-.00 (.00) |
-.04 |
.706 |
|
Significant predictors, as well as significant changes in models (p < 0.05) are marked in bold. CR = Conversion rate, PS = Perfectionistic strivings, PC = Perfectionistic concerns, x = interaction between variables, B = unstandardized regression coefficient, SE B = Standard Error of B, β = standardized regression coefficient. |
a For a graphical illustration of the interaction effect see Figure 1, panel A, and panel B for Johnson-Neyman regions of significance. |
b For a graphical illustration of the interaction effect see Figure 2, panel A, and panel B for Johnson-Neyman regions of significance. |
c For a graphical illustration of the effect of the three-way interaction see Figure 3, panel A, and panel B for Johnson-Neyman regions of significance. |
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