The main aim of the package is to offer freely accessible resources for hierarchical Bayesian ANOVA analysis, which makes it easy to use for behavioral researchers. We also develop generalized Bayesian mediation
In the first stage, researchers generally conduct a hierarchical regression analysis in which a continuous outcome is regressed on self-ratings and others' ratings in step 1, and squared self-ratings, squared others' ratings, and the interaction of self-ratings and others' ratings are added in ...
The analysis of the HMS contents reveals that the HMS aims to establish a healthcare service system with an orderly division of labor and mutual collaboration, as well as certain integrated functions, rather than a system with clear distinctions in terms of functions. Therefore, the degree of co...
researchers have explored the topic of differentiating effects across levels of analysis (e.g., Dansereau, Alutto, & Yammarino, 1984; Klein & Kozlowski, 2000), these treatments do not cover the confounding of effects in the context of multilevel mediation. ...
Longitudinal data may also be subject to causal mediation analysis [24], where the causal impact of an exposure is evaluated for its direct impact on an outcome, separately from its influences via one or more mediators – i.e., intermediate variables that lie on the causal path between ...
Berkowitz, L. (1993). Towards a general theory of anger and emotional aggression: Implications of the cognitive-neoassociationistic perspective for the analysis of anger and other emotion. In R. S. Wyer & T. K. Srull (Eds.),Advances in social cognition(Vol. 6, pp. 1–46). Hillsdale,...
A simulation study is presented for insights into the multicollinear effects of finite sample sizes on coefficient estimates, associated standard errors and variance components under varying degrees of multicollinearity as a guide for prediction (predictive analysis) or for interpretation (prescriptive ...
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of coping with knowledge inertia. Data from a two-wave survey of 135 R&D teams within 67 firms in China were used to conduct the analysis of structural equation modeling and hierarchical multiple regression. Results showed that as predicted, knowledge inertia can not only decrease R&D team ...
(also known as sequential factor analysis). This method identifies the hierarchical structure by using the factor scores derived from multiple exploratory factor analyses (EFAs) that extract different numbers of factors (Goldberg,2006). Unlike traditional methods that adopt a bottom-up process to ...