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On the evaluation of structural equation models
Richard P. Bagozzi,Youjae Yi +1 more
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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.read more
Citations
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M‐loyalty: winning strategies for mobile carriers
TL;DR: In this paper, a research model was designed to identify multi-dimensions of mobile service quality and perceived value, and investigate their influences on satisfaction and loyalty, and the results showed interrelationship between economic and emotional value.
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Export market‐oriented behavior and export performance: The moderating roles of competitive intensity and technological turbulence
TL;DR: In this article, the authors examined the impact of export market-oriented behaviors on export success. And they found that export marketoriented behaviors are important predictors of several dimensions of export performance, and that this behavior is most important for exporters operating under conditions of high environmental turbulence.
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Performance measurement in strategic buyer‐supplier relationships: The mediating role of socialization mechanisms
TL;DR: In this paper, the authors aim to develop a model positing that socialization mechanisms play an important role in mediating the relationship between supplier performance measures and performance outcomes, using a sample of 142 manufacturing and service firms based in the UK.
Journal ArticleDOI
Linking the formal strategic planning process, planning flexibility, and innovativeness to firm performance
TL;DR: In this article, the authors explored the link between financial performance and the formal strategic planning process, planning flexibility, and innovativeness of 448 firms in a multi-industry sample.
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Switching intention model development: Role of service performances, customer satisfaction, and switching barriers in the hotel industry
TL;DR: In this paper, the intricate relationships among core service and service encounter performances, customer satisfaction, and switching barriers in the formation of satisfaction and switching intention were examined in a field survey conducted at upper-midscale hotels.
References
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Journal ArticleDOI
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Claes Fornell,David F. Larcker +1 more
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...
Journal ArticleDOI
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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