1. Data source: Organized by yourself 2. Time span: None
3. Regional scope: None
4. Indicator description: Multiple mediation models are models with multiple mediation variables. According to whether there is interaction among multiple mediator variables, multiple mediation models can be divided into single-step multiple mediator model and multiple-step multiple mediator model. The single-step multiple mediation model means that there is no interaction between multiple mediator variables (removing the path in Figure 2 is a single-step multiple mediation model), also known as the parallel multiple mediation model. The multi-step multiple mediation model refers to the interaction between multiple mediator variables, and the multiple mediator variables show sequential characteristics and form an intermediary chain (the path in Figure 2), also known as the chain multiple mediation model.
Take the multiple mediation model shown in Figure 2 as an example (where the circle indicates that the variable can be an explicit variable or a latent variable), the multiple mediation effect analysis at this time can be carried out from three perspectives, (1) Path-specific mediation effect (specific mediation effect), (2) total mediation effect (total mediation effect), (3) contrast mediation effect. Multiple mediation models have three major advantages over simple mediation models. First, the total mediation effect can be obtained. Second, the specific mediating effect of each mediator variable (eg, control) can be studied while controlling for other mediator variables (eg, control). This approach can reduce the parameter estimation bias caused by ignoring other mediator variables in simple mediation models. Third, comparative mediation effects can be obtained, allowing researchers to judge which of the effects of multiple mediation variables (such as and ) is greater, that is, to judge which mediation variable has a stronger effect. In this way, comparing the mediation effect can enable researchers to judge which mediation variable theory is more meaningful among multiple mediation variable theories (such as and ). Therefore, the study of multiple intermediary models has more theoretical and practical significance. Part of the code is as follows:
Related research:
[1] Zhang Zhengtang. The relationship between human resource management activities and corporate performance: An empirical study on the intermediary effect of human resource management effectiveness [J]. Economic Science, 2006(2):11. [2] Xie Xuemei, Zuo
Leilei . Enterprise Collaborative Innovation Network Characteristics and Innovation Performance: Research on the Mediating Effect Based on Knowledge Absorptive Capacity[J]. Nankai Management Review, 2013, 16(3):10. [3] Liu Yun, Shi Jintao. Organizational Innovation Climate on Employee
Innovation Research on the Influence Process of Behavior——Analysis of Mediation Effect Based on Psychological Empowerment [J]. China Soft Science, 2010(3):12. [4]Guo Guoqing, Zhang Zhongke, Chen Kai
, et al. Word-of-mouth Communication on Consumer Brand Conversion Willingness The influence of subjective norms: A study on the mediating effect of subjective norms[J]. Management Review, 2010, 22(12):8.