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. 2019 Dec 19;17(1):52. doi: 10.3390/ijerph17010052

Table 3.

Results of polynomial regression analysis for task crafting and the response surface test.

Variable Task Crafting
Model 1 Model 2 Model 3 Model 4 Model 5
Control variables
Class dummy 1 −0.06 −0.03 −0.01 −0.07 −0.07
Class dummy 2 −0.04 −0.03 −0.02 −0.05 −0.09
Grade dummy 1 0.06 0.12 0.14 0.12 0.07
Grade dummy 2 −0.05 0.04 0.06 0.04 −0.03
Grade dummy 3 0.08 0.13 0.14 0.10 0.08
Main effect
Openness to experience (OE) 0.21 **
Skill variety (SV) 0.35 ***
Task significance (TS) 0.19 **
Task identity (TI) 0.06
Polynomial terms
OE 0.21 **
SV 0.48 ***
OE2 0.02
OE × SV −0.10
SV2 0.07
OE 0.26 **
TS 0.38 ***
TS2 −0.12+
OE × TS 0.08
TS2 0.00
OE 0.29 ***
TI 0.30 ***
OE2 −0.06
OE × TI 0.02
TI2 0.00
F 0.45 11.32 8.80 6.66 4.97
R2 0.01 0.38 0.34 0.28 0.23
Change in R2 0.37 *** 0.33 *** 0.27 *** 0.21 ***
Surface response test
Y = X Slope (a1 = b1 + b2) 0.61 *** 0.56 *** 0.52 ***
Curvature (a2 = b3 + b4 + b5) −0.02 0.01 −0.01
Y = −X Slope (a3 = b1 − b2) −0.28 * −0.15 −0.07
Curvature (a4 = b3 − b4 + b5) 0.19 −0.16+ −0.07

+ p < 0.10, * p < 0.05, ** p < 0.01, *** p < 0.001.