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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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Examining the impact of privacy, trust and risk perceptions beyond monetary transactions: An integrated model

TL;DR: Perceived privacy risk stood out as a strong antecedent for respondents in both experience groups, but the effect of Internet literacy, social awareness and disposition on trust was statistically insignificant for the same group.
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Spatio-temporal change of urban–rural equalized development patterns in China and its driving factors

TL;DR: Zhang et al. as mentioned in this paper put forward an innovative theory of URED against the background of China's urban-rural transformation using principal component analysis, Markov chain model and exploratory spatial data analysis model based on the data for 31 Chinese provinces (autonomous regions and municipalities).
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Why do people play mobile social games? An examination of network externalities and of uses and gratifications

TL;DR: This research successfully applies a combination of network externalities theory and U&G theory to investigate the antecedents of players' intentions to play mobile social games.
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Developing measures of time-based manufacturing

TL;DR: The authors proposed a framework for research on time-based manufacturing, reports on the development of a set of seven instruments for measuring the key practices and tests relationships among these practices, and tests of the structural model confirm Monden's (1983) notion that shopfloor employee involvement leads to improved manufacturing practices which, in turn, lead to pull production.
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Mediating Effects of Place Attachment and Satisfaction on the Relationship between Tourists’ Emotions and Intention to Recommend:

TL;DR: In this paper, a model based on the developmental theory of place attachment was developed to consider the influence of tourists' emotions on place attachment and the mediating effects of satisfact...
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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