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. 2023 Feb 17;14:1097936. doi: 10.3389/fpsyg.2023.1097936

Table 6.

Hierarchical regression analysis of Psychological Capital and Breakthrough Innovation.

Model 1 Model 2
Variable Regression coefficient t p Regression coefficient t p
Const 3.816*** 7.963 0.000 Const 2.072*** 4.728 0.000
PC PC 0.485*** 11.918 0.000
Gender −0.324** −2.206 0.028 Gender −0.13 −1.016 0.310
Age −0.041 −0.586 0.558 Age 0.001 0.008 0.993
Educational background 0.017 0.373 0.709 Educational background 0.001 0.035 0.972
Working life −0.058 −0.601 0.548 Working life −0.056 −0.67 0.503
Enterprise size −0.046 −1.192 0.234 Enterprise size −0.076** −2.285 0.023
Type of job 0.054* 1.657 0.098 Type of job 0.004 0.068 0.946
Team size −0.018 −0.469 0.639 Team size −0.054* −1.657 0.098
Type of enterprise 0.048 1.131 0.259 Type of enterprise 0.066* 1.788 0.075
Team life 0.061** 2.122 0.034 Team life 0.031 0.848 0.397
R 2 0.038 R 2 0.286
Adjusted R2 0.014 AdjustedR2 0.267
ΔR2 0.038 ΔR2 0.249
F F = 1.595, p = 0.105 F F = 14.864, p = 0.000***

***p < 0.001, **p < 0.01, *p < 0.05; PC, psychological capital. Model 1 is the model of control variables.