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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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Who influences whom? Analyzing workplace referents' social influence on IT adoption and non-adoption

TL;DR: An empirical analysis, using data from 152 firms, based on the Unified Theory of Acceptance and Use of Technology and related approaches reveals that social influence on adoption significantly differs with regard to both source and sink, and that a single cumulative subjective norm measure might be too naïve.
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The role of Islamic religiosity on the relationship between perceived value and tourist satisfaction

TL;DR: In this article, the authors investigate the moderating effect of Islamic religiosity on the relationship between Muslim customer perceived value (MCPV) and Muslim customer satisfaction, and find that Islam's religiosity moderates the effects of Islamic physical attributes value and Islamic non-physical attributes value on Muslim customers' satisfaction.
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Perceived organizational support and affective commitment: the mediating role of organization‐based self‐esteem in the context of job insecurity

TL;DR: In this paper, the mediating role of organization-based self-esteem (OBSE) and tested competing models of the POS and OBSE-AC relationship separately on data from two Korean banks that experienced different levels of downsizing following the 1997 Korean financial crisis.
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The impact of satisfaction and image on loyalty: the case of Alpine ski resorts

TL;DR: In this article, the authors report a study of ski resorts where they first established a causal model of customer satisfaction and image predicting customer loyalty, and then map the scores in a four-fields-grid.
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Acceptance of mobile banking framework in Pakistan

TL;DR: The empirical findings established the significant contribution of task (TAC) and technology characteristics (TEC) in facilitating task technology fit (TTF), initial trust (IT) and facilitating condition (FC) with intention to adopt m-banking.
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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