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학술저널

Bootstrapping Techniques in Structural Equation Modelling

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In this paper, I reviewed several bootstrap procedures and applications of the bootstrap test in structural equation modeling. Some behavioral scientist have blind faith regarding the bootstrap principle: The relation between a population P and its samples can be modeled by the relation between the resampling space R and its bootstrap samples. The bootstrap may yield results that will be useful for structural equation modeling. However, the bootstrap principle cannot be blindly trusted because there are cases in which it will not work.

*Abstract*

I. Introduction

II. Application of the Bootstrap to Covariance Structure A nalysis

III. Applications of Bootstrap Tests in Structural Equation Modeling

IV . C autionary Note and Conclusions

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