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

Table 4. Summary of multiple regression analysis predicting job satisfaction and appreciation (Study 3).

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^a	−0.03	0.14	−0.27, 0.21	−0.29	0.17	−0.58, −0.00	−0.06	0.17	−0.39, 0.30	−0.03	0.14	−0.30, 0.24	−0.03	0.14	−0.26, 0.20
Age	0	0.01	−0.01, 0.01	0	0.01	−0.01, 0.02	0	0.01	−0.02, 0.01	0	0.01	−0.01, 0.01	0	0.01	−0.01, 0.01
Job satisfaction t1	0.33	0.06	0.17, 0.51							0.33	0.06	0.23, 0.44	0.33	0.09	0.18, 0.52

Step 2
Illegitimate tasks	−0.16	0.1	−0.35, −0.01	−0.64	0.09	−0.84, −0.46	−0.31	0.12	−0.55, −0.09
Appreciation t1										0.16	0.07	0.01, 0.30
Appreciation t2													0.43	0.09	0.27, 0.61

R² step 1 (Adj R²)	0.17 (0.16)**			0.02 (0.01)			0.00 (−0.01)			0.17 (0.16)**			0.17 (0.16)**
R² step 2 (Adj R²)	0.19 (0.17)**			0.23 (0.21)**			0.05 (0.03)*			0.19 (0.18)**			0.39 (0.38)**
∆R²	0.01^†			0.21**			0.05**			0.02*			0.22**

N=183. 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<0.10; *p<0.05; **p<0.01 (two-tailed). t1/t2: first/second time of survey.