. 2019 Jan 23;57(5):637–652. doi: 10.2486/indhealth.2018-0008

Table 2. Summary of multiple regression analysis predicting job satisfaction and appreciation (Study 1).

Variable	Job satisfaction			Appreciation t1			Appreciation t2			Job satisfaction			Job satisfaction

	B	SE_B	95%CI	B	SE_B	95%CI	B	SE_B	95%CI	B	SE_B	95%CI	B	SE_B	95%CI
Step 1
Sex	0.14	0.31	−0.44, 0.80	−0.4	0.28	−0.91, 0.20	0	0.35	−0.65, 0.71	0.14	0.31	−0.44, 0.80	0.14	0.31	−0.33, 0.68
Age	0.01	0.03	−0.04, 0.08	0.03	0.03	−0.03, 0.10	0.06	0.03	0.01, 0.13	0.01	0.03	−0.04, 0.08	0.01	0.03	−0.03, 0.07
Job satisfaction t1	0.39	0.13	0.11, 0.61							0.39	0.13	0.10, 0.62	0.39	0.13	0.11, 0.67

Step 2
Illegitimate tasks	−0.44	0.15	−0.73, −015	−0.37	0.18	−0.73, −0.01	−0.51	0.21	−0.95, −0.10
Appreciation t1										0.31	0.16	0.06, 0.59
Appreciation t2													0.49	0.13	0.22, 0.72

R² step 1 (Adj R²)	0.28 (0.23)**			0.10 (0.06)			0.09 (0.04)			0.28 (0.23)**			0.28 (0.23)**
R² step 2 (Adj R²)	0.39 (0.33)**			0.19 (0.13)*			0.23 (0.18)*			0.35 (0.29)**			0.50 (0.44)**
∆R²	0.12*			0.09*			0.15**			0.08*			0.22**

N≤50. B: unstandardized regression coefficient; SE_B: standard error; t: t-value; 95%CI bootstrapped confidence intervals: bootstrap sample size=5,000. ^a0: male, 1: female. *p<0.05; **p<0.01 (two-tailed). t1/t2: first/second time of survey.