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On the evaluation of structural equation models

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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.

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An examination of the relationships between JIT and financial performance

TL;DR: In this paper, a survey study of 253 US manufacturing firms found significant statistical relationships between measures of profitability and the degree of specific just-in-time (JIT) practices used.
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Customer Loyalty to Content-Based Web Sites: The Case of an Online Health Care Service

TL;DR: In this article, a study sheds light on the determinants of customer loyalty to a content-based service, a healthcare Web site, and found that loyalty to the health site is satisfaction-driven, but that trust is the main antecedent of satisfaction.
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A model of the relationship between psychological characteristics, mobile phone addiction and use of mobile phones by Taiwanese university female students

TL;DR: Personal psychological characteristics of Taiwanese female university students which can significantly predict mobile phone addiction are identified;Female university students with mobile phone Addiction will make more phone calls and send more text messages.
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Examining the role of advertising and sales promotions in brand equity creation

TL;DR: In this paper, the authors explored the relationship between advertising and sales promotions and their impact on brand equity creation and found distinctive effects of monetary and non-monetary promotions on the brand equity.
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Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness

TL;DR: In this article, the authors investigate the personalization paradox in online personalized advertising and find that consumers exhibit greater click-through intentions in response to more personalized advertisements, in contrast with their reactions when firms collect information covertly, reflecting the feelings of vulnerability that consumers experience when firms undertake covert information collection.
References
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Journal ArticleDOI

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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...
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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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