Structural Equation Modelling

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77 citations0/0 files storedStudies in managerial and financial accounting

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Psychometric Methodologies and Testing Statistical Methods and Applications Statistical Methods and Bayesian Inference

Abstract

Structural Equation Modelling (SEM) is a relatively recently developed statistical technique based upon factor analysis and multiple regression.This review will cover four of the most widely used (in psychology departments) packages, looking in particular at their suitability for use in a teaching environment, rather than an in depth look at their technical capabilities: L ISREL 8.20, EQS 5.6, AMOS 3.6, SEPath.The four programs reviewed were all tested running Windows 95, on a 166 MHz Pentium, with 32 MB RAM.

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References

1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 1988Structural equation modeling in practice: A review and recommended two-step approach.1996Power analysis and determination of sample size for covariance structure modeling.1987Practical Issues in Structural Modeling 1977Assessing Reliability and Stability in Panel Models 1990Overall fit in covariance structure models: Two types of sample size effects.1980Structure is not organization 1992Assumptions of the Two-Step Approach to Latent Variable Modeling

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