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. 2021 Aug 26;18(17):8976. doi: 10.3390/ijerph18178976

Table A1.

Regression coefficients and conditional direct and indirect effects for the moderated mediation analyses.

Dependent Variable
Reassignment Experience (M)
R2 = 0.28 ***
Intent to Stay (Model 1)
R2 = 0.14 ***
Workplace Well-Being (Model 2)
R2 = 0.30 ***
B SE 95% CI B SE 95% CI B SE 95% CI
Lack of choice (X; direct effect) −0.38 *** 0.09 [−0.56, −0.20] −0.06 0.04 [−0.13, 0.01] −0.05 * 0.02 [−0.10, −0.01]
Reassignment experience (M) -- -- -- 0.41 *** 0.06 [0.29, 0.54] 0.53 *** 0.05 [0.43, 0.64]
Hospital management responsiveness (W) 0.14 *** 0.09 [-0.04, 0.32] -- -- -- -- -- --
Lack of choice × Hospital management responsiveness (M * W) 0.07 ** 0.03 [0.02, 0.12] -- -- -- -- -- --
Conditional indirect Effects of Lack of choice
Mean − 1 SD (2.80) -- -- -- −0.08 0.02 [−0.11, −0.05] −0.10 0.02 [−0.14, −0.07]
Mean (3.60) -- -- -- −0.06 0.01 [−0.08, −0.03] −0.07 0.01 [−0.10, −0.05]
Mean + 1 SD (4.40) -- -- -- −0.03 0.01 [−0.06. −0.01] −0.04 0.02 [−0.08, −0.01]
Moderated mediation index (bootstrapped SE and IC) -- -- -- 0.03 0.01 [0.01, 0.05] 0.04 0.01 [0.01, 0.06]

Note: Unstandardized regression coefficients are reported. Bootstrap sample size = 10,000. M = mediator; W = moderator; M * W = interaction between the mediator and the moderator; Model 1 = moderated mediation model conducted on workplace well-being; Model 2 = moderated mediation model conducted on intent to stay. *** p < 0.001; ** p < 0.01; * p < 0.05. X = independent variable.