Advanced Applications of Structural Equation Modeling

نویسندگان

  • Matthew P. Martens
  • Richard F. Haase
چکیده

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This article provides a brief introduction to the history and applications of the class of data analytic techniques collectively known as Structural Equation Modeling (SEM). Using an example based on psychological factors thought to affect the likelihood of stuttering, we discuss the issues of specification, identification, and model fit and modification in SEM. We also address points relating ...

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(Why) Should We Use SEM? Pros and Cons of Structural Equation Modeling

During the last two decades, Structural Equation Modeling (SEM) has evolved from a statistical technique for insiders to an established valuable tool for a broad scientific public. This class of analyses has much to offer, but at what price? This paper provides an overview on SEM, its underlying ideas, potential applications and current software. Furthermore, it discusses avoidable pitfalls as ...

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تاریخ انتشار 2006