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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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Effects of e‐service quality on loyalty intention: an empirical study in online auction
Chia‐Hui Yen,Hsi-Peng Lu +1 more
TL;DR: Zhang et al. as discussed by the authors used an expectancy disconfirmation theory (EDT) to explore e-service quality and the factors influencing an individual's loyalty intention towards online auctions.
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Socialization and Adolescents' Skepticism toward Advertising
TL;DR: In this paper, the authors adopt a socialization explanation for adolescents' skepticism toward advertising and posit that the type of family communication (socio-oriented vs. concept-oriented communication), adolescents' susceptibility to peer influence (susceptibility to informational vs. normative peer influence), and the extent of television viewing are related to skepticism.
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Different Roles, Different Strokes: Organizing Virtual Customer Environments to Promote Two Types of Customer Contributions
Satish Nambisan,Robert A. Baron +1 more
TL;DR: A model suggesting that customers' prosocial behavior and expectations of private rewards will shape contributions to the community will shape a contribution to the company will be proposed.
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Disentangling the Theories of Firm Boundaries: A Path Model and Empirical Test
TL;DR: The results show that technological dynamism and barriers to imitation indirectly influence the governance mode decision by increasing the perceived threat of opportunism and decreasing the likelihood of an acquisition vis-A -vis a licensing agreement.
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Explaining the effects of transformational leadership: an investigation of the effects of higher-order motives in multilevel marketing organizations
John R. Sparks,Joseph A. Schenk +1 more
TL;DR: In this paper, the authors empirically tested an important explanatory component of transformational leadership theory: that belief in the higher purpose of one's work is a mechanism through which transformational leader achieves its positive outcomes on cohesion, satisfaction, effort, and performance.
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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