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On the evaluation of structural equation models
Richard P. Bagozzi,Youjae Yi +1 more
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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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Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet?
TL;DR: In this article, a typology for motives of consumer online articulation is proposed, drawing on findings from research on virtual communities and traditional word-of-mouth literature, which is based on the same authors' work.
Journal ArticleDOI
Ethical leadership: A social learning perspective for construct development and testing
TL;DR: In this paper, social learning theory is used as a theoretical basis for understanding ethical leadership and a constitutive definition of the ethical leadership construct is proposed. But, little empirical research focuses on an ethical dimension of leadership.
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Development and validation of work–family conflict and family–work conflict scales.
TL;DR: This paper developed and validated short, self-report scales of work-family conflict (WFC) and family-work conflict (FWC) using conceptualizations consistent with the current literature.
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Reassessment of Expectations as a Comparison Standard in Measuring Service Quality: Implications for Further Research:
TL;DR: The SERVQUAL instrument and the perceptions-minus-expectations specification invoked by it to operationalize it are discussed in this paper, where the authors respond to concerns raised by Cronin and Taylor (1992) and Teas (1993).
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Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
TL;DR: The results of this study indicate that the second-order IUIPC factor, which consists of three first-order dimensions--namely, collection, control, and awareness--exhibited desirable psychometric properties in the context of online privacy.
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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