Journal ArticleDOI
On the evaluation of structural equation models
Richard P. Bagozzi,Youjae Yi +1 more
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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Predictors of relationship quality and loyalty in the chain restaurant industry.
TL;DR: In this article, the authors determined which factors influence relationship quality and customer loyalty formation in the chain restaurant industry and examined the connections between relationship quality, customer satisfaction, and relationship quality with respect to loyalty.
Journal ArticleDOI
Examining mobile banking user adoption from the perspectives of trust and flow experience
TL;DR: Investigating the factors affecting mobile banking user adoption indicates that structural assurance is the main factor affecting trust, whereas ubiquity and perceived ease of use are the main factors affecting flow experience.
Journal ArticleDOI
Generating sales while providing service: A study of customer service Representatives' ambidextrous behavior
TL;DR: In this paper, the authors developed a framework of the antecedents and performance consequences of aligned sales and customer service provision, which can be used to understand ambidexterity at the employee level.
Journal ArticleDOI
The dark side of customer co-creation: exploring the consequences of failed co-created services
TL;DR: In this article, the authors examine the implications of customer co-creation in service failure episodes and suggest that in such cases customer satisfaction is best restored by offering co-created service recovery.
Journal ArticleDOI
Print versus electronic surveys: A comparison of two data collection methodologies
TL;DR: The sample indicates that electronic surveys have fewer missing responses and can be coded/presented in a more flexible manner (namely, contingent coding with different respondents receiving different questions depending on the response to earlier questions) that offers researchers new capabilities.
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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Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
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