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. Author manuscript; available in PMC: 2011 Jul 22.
Published in final edited form as: J Organ Behav. 2010 Oct;31(7):951–968. doi: 10.1002/job.655

Table 2.

The results of path analyses using HLM regressions

Dependent variables Expectancy judgment Valence judgment Progress judgment Generative orientation Effort Persistence
Control variables
 Stock market movement 0.03c (0.08d)*** 0.01 (0.03) 0.02 (0.02) 0.07 (0.13)*** 0.06 (0.04) 0.39 (0.02)
 Daily performance 0.11 (0.54)*** 0.08 (0.33)*** 0.29 (0.63)*** −0.07 (−0.21)*** 0.06 (0.07) 0.29 (0.02)
 Generative orientationa −0.02 (−0.01) −1.54 (−0.04)
 Efforta −0.00 (−0.01) −3.21 (0.21)***
 Persistencea −0.00 (−0.03) −0.01 (−0.20)***
 Goalb 0.03 (0.07)*** −0.12 (−0.01)
Predictor variables
 Pleasantness 0.09 (0.10)*** 0.03 (0.03) 0.43 (0.23)*** 0.02 (0.01) −0.07 (−0.01) 0.76 (0.01)
 Activation 0.04 (0.03) 0.09 (0.07)** 0.05 (0.02) 0.04 (0.02) 0.40 (0.07)** 0.86 (0.01)
 Expectancy judgment 0.18 (0.11)*** 0.36 (0.08)** 0.74 (0.01)
 Valence judgment 0.06 (0.04) 0.36 (0.09)*** 2.08 (0.03)
 Progress judgment −0.04 (−0.05) 0.04 (0.02) 3.24 (0.10)**
 Variance explained % 33.2% 12.2% 56.2% 9.8% 12.0% 4.6%

N = 1870 cases nested within 101 participants.

a

This variable was controlled when another behavioral outcome variable was examined as an endogenous variable.

b

This variable, performance goal, was controlled when the hypothesized effects of progress judgment were examined.

c

Gamma (γ) = unstandardized HLM regression coefficient.

d

Beta (β) = standardized regression coefficient (=Gamma (Sx/Sy)).

*

p <0.05;

**

p <0.01;

***

p <0.001.