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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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Implementing the Marketing Concept at the Employee–Customer Interface: The Role of Customer Need Knowledge
TL;DR: In this article, the authors introduce the concept of "customer need knowledge" (CNK), which describes the extent to which a frontline employee can accurately identify a given customer's hierarchy of needs.
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A critical look at the use of SEM in international business research
Nicole Franziska Richter,Rudolf R. Sinkovics,Christian M. Ringle,Christian M. Ringle,Christopher Schlägel +4 more
TL;DR: In this article, structural equation modeling (SEM) has been widely used to examine complex research models in international business and marketing research, and a review of the application of SEM techniques in the field is presented.
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A Measure of Export Market Orientation: Scale Development and Cross-cultural Validation
TL;DR: In this paper, the authors report on the construction and psychometric assessment of a measure of export market orientation based on four multi-item scales developed showing strong evidence of reliability and convergent, discriminant, and nomological validity in samples of U.K. and Dutch exporters.
Journal ArticleDOI
Age, gender and income: do they really moderate online shopping behaviour?
TL;DR: In this article, the authors analyse whether individuals' socioeconomic characteristics (age, gender and income) influence their online shopping behavior and find that socioeconomic variables moderate neither the influence of previous use of the internet nor the perceptions of ecommerce; in short, they do not condition the behaviour of the experienced e-shopper.
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Face consciousness and risk aversion: Do they affect consumer decision‐making?
TL;DR: The authors explored the effects of two cultural dimensions, face consciousness and risk aversion, on consumers' decision-making styles and found that consumers in the United States differ from their counterparts in China in decision making styles.
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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