Can a model about an organizational phenomenon be build in a way so that it has some antecedent variables, mediating variables and consequent variables? Also, though all the variables in the proposed model are important but mediating variables are of greatest importance. Is this a good conceptualization to be tested empirically?
In my view it is difficult to separate these variables but it depends on what the consequent variables are.
I think yes, and this is usually in organizational psychology (for example). You can build a model about the relationships among all your variables and after test with a statistical software such as AMOS or Mplus. In that model, you can take into account antecedents, mediator or moderators and consequences. It will depend on your hypotheses.
Best
Luis
I believe you want to test a mediation model. You can test such model, get to analyze the detail of your path coefficients and overall effect sizes using PROCESS, a SPSS or SAS macro created by the great Andrew Hayes. For moderation/ mediation models, I believe this is the best tool.
Regards,
Dominique
http://www.processmacro.org/
Structural Equation Modeling can be used. See the attachment (particularly Chapters 3 and 4) for an example of a study using this technique.
Yogita,
If your purpose is to test a mediation you can use either regression or structural equation modeling. However, conceptually it is important to make sure that all your variables are measured at the same level which, in this case, appear to be the organizational level. If one of your variables is organizational in nature (e.g., firm size) but the output is individual (e.g., job satisfaction) then you may need to use a random coefficient modeling (using, for instance, HLM).
Good luck with your research
Gonzalo Muñoz
you can refer to many papers in Human resource management research, where it is hypothesised that HR practices affect organisational performance through employee attitudes. In this case HR practices are independent variables that cause employee attitudes (mediating variable), which in turn affect organisational performance. please refer the following papers
If the underlying theory supports the mediation, antecedents and consequences, then it can be properly modeled.
The Conditional Process Modelling by Prof Andrew Hayes provides a comprehensive framework.
The Hayes' models includes mediation. moderation, antecedents and consequences
http://www.afhayes.com/public/templates.pdf
http://www.afhayes.com/introduction-to-mediation-moderation-and-conditional-process-analysis.html
http://bit.ly/1HPEsyH
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