We estimated the models using probability weights and robust Huber-White standard errors. For the fixed parts of our models, we report unstandardized regression coefficients and their standard errors and the statistical significance of the estimates. Our models included random intercepts and random slopes for time with an unstructured covariance structure. For the random parts of our models, we report standard deviations and 95% confidence intervals. To elaborate on our cross-level interactions, we present plotted predictive margins—that is, the estimated values of technostress and exhaustion at T1 and T2 for different levels of SMC (see Fig. 1, Fig. 2, Fig. 3, Fig. 4 ). Overall, the models are robust to potential confounding factors and main results remained statistically significant although number of covariates were included in the model.
