Table 4.
Results of polynomial regression analysis for relational crafting and the response surface test.
Variable | Relational Crafting | |||||
---|---|---|---|---|---|---|
Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | ||
Control variables | ||||||
Class dummy 1 | −0.09 | −0.06 | −0.06 | −0.09 | −0.08 | |
Class dummy 2 | 0.04 | 0.03 | 0.04 | 0.00 | 0.00 | |
Grade dummy 1 | −0.09 | −0.05 | −0.03 | −0.03 | −0.07 | |
Grade dummy 2 | −0.05 | −0.00 | 0.01 | −0.02 | −0.05 | |
Grade dummy 3 | −0.09 | −0.05 | −0.04 | −0.06 | −0.07 | |
Main effect | ||||||
Openness to experience (OE) | 0.05 | |||||
Skill variety (SV) | 0.27 ** | |||||
Task significance (TS) | 0.11 | |||||
Task identity (TI) | 0.08 | |||||
Polynomial terms | ||||||
OE | 0.09 | |||||
SV | 0.32 *** | |||||
OE2 | −0.09 | |||||
OE × SV | 0.18 * | |||||
SV2 | −0.15 | |||||
OE | 0.04 | |||||
TS | 0.27 *** | |||||
TS2 | −0.15+ | |||||
OE × TS | 0.20 * | |||||
TS2 | −0.02 | |||||
OE | 0.11 | |||||
TI | 0.26 ** | |||||
OE2 | −0.07 | |||||
OE × TI | 0.04 | |||||
TI2 | −0.04 | |||||
F | 0.64 | 4.26 | 4.08 | 3.08 | 2.13 | |
R2 | 0.01 | 0.18 | 0.19 | 0.15 | 0.09 | |
Change in R2 | 0.17 *** | 0.18 *** | 0.14 *** | 0.08 ** | ||
Surface response test | ||||||
Y = X | Slope (a1 = b1 + b2) | 0.44 *** | 0.34 ** | 0.41 *** | ||
Curvature (a2 = b3 + b4 + b5) | −0.02 | 0.12 | −0.06 | |||
Y = −X | Slope (a3 = b1 − b2) | −0.26 * | −0.26 * | −0.02 | ||
Curvature (a4 = b3 − b4 + b5) | −0.46 ** | −0.44 ** | −0.19 |
+ p < 0.10, * p < 0.05, ** p < 0.01, *** p < 0.001.