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On the evaluation of structural equation models

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TLDR
In this article, structural equation models with latent variables are defined, critiqued, and illustrated, and an overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence.
Abstract
Criteria for evaluating structural equation models with latent variables are defined, critiqued, and illustrated. An overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence. Model assessment is considered to be a complex process mixing statistical criteria with philosophical, historical, and theoretical elements. Inevitably the process entails some attempt at a reconcilation between so-called objective and subjective norms.

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Citations
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The production performance benefits from JIT implementation

TL;DR: In this paper, the authors used survey responses from executives at 95 JIT-practicing firms to better understand the benefits that firms have experienced through JIT adoption, and whether a more comprehensive implementation is worthwhile.
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Dealing with supply chain risks

TL;DR: In this article, the effects of supply chain risk management (SCRM) on the performance of a supply chain remain unexplored and the aim of this research is to provide clarity by empirically testing these hypotheses and scrutinizing the findings by the means of case studies.
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Organizational learning culture—the missing link between business process change and organizational performance

TL;DR: In this article, the authors present and test a model of organizational performance improvement based on the impact of organizational learning culture (OLC), which is defined as a set of norms and values about the functioning of an organization.
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Investigating the service brand: A customer value perspective

TL;DR: In this paper, the authors developed and tested a theory of the influence of the service brand on the customer value-loyalty process, including the traditional influence of brand image plus three additional influences that more fully reflect the broader service perspective (company image, employee trust, and company trust).
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Multisource Effects on the Satisfaction Formation Process

TL;DR: In this paper, a model of alumni satisfaction with higher education is proposed, which is a function of two performance and disconfirmation attributes: intellectual environment and employment preparation, and the model was tested among 475 alumni of a major Eastern undergraduate business school.
References
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Journal ArticleDOI

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
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A new look at the statistical model identification

TL;DR: In this article, a new estimate minimum information theoretical criterion estimate (MAICE) is introduced for the purpose of statistical identification, which is free from the ambiguities inherent in the application of conventional hypothesis testing procedure.
Journal ArticleDOI

Estimating the Dimension of a Model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.

Estimating the dimension of a model

TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Journal ArticleDOI

Significance tests and goodness of fit in the analysis of covariance structures

TL;DR: In this article, a general null model based on modified independence among variables is proposed to provide an additional reference point for the statistical and scientific evaluation of covariance structure models, and the importance of supplementing statistical evaluation with incremental fit indices associated with the comparison of hierarchical models.
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