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Journal ArticleDOI

Structural Model Evaluation and Modification: An Interval Estimation Approach.

James H. Steiger
- 01 Apr 1990 - 
- Vol. 25, Iss: 2, pp 173-180
TLDR
Dans les differentes procedures existantes pour l'evaluation and the modifications sequentielles des modeles structuraux, l'auteur s'attache a discuter celle connue sous le terme PMM.
Abstract
Dans les differentes procedures existantes pour l'evaluation et les modifications sequentielles des modeles structuraux, l'auteur s'attache a discuter celle connue sous le terme PMM. Plus generalement, les propositions de KAPLAN (1990) sont critiquees dans le detail

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Citations
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Journal ArticleDOI

Alternative Ways of Assessing Model Fit

TL;DR: In this paper, two types of error involved in fitting a model are considered, error of approximation and error of fit, where the first involves the fit of the model, and the second involves the model's shape.
Journal ArticleDOI

Understanding Information Technology Usage: A Test of Competing Models

TL;DR: The results indicate that the decomposed Theory of Planned Behavior provides a fuller understanding of behavioral intention by focusing on the factors that are likely to influence systems use through the application of both design and implementation strategies.
Journal ArticleDOI

Structural Equation Modelling: Guidelines for Determining Model Fit

TL;DR: In this article, a selection of fit indices that are widely regarded as the most informative indices available to researchers is presented, along with guidelines on their use and strategies for their use.

Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures.

TL;DR: Some guidelines that should help applied researchers to evaluate the adequacy of a given structural equation model are provided.
Journal ArticleDOI

Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance

TL;DR: In this article, the sensitivity of goodness of fit indexes to lack of measurement invariance at three commonly tested levels: factor loadings, intercepts, and residual variances was examined, and the most intriguing finding was that changes in fit statistics are affected by the interaction between the pattern of invariance and the proportion of invariant items.
References
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Journal ArticleDOI

Choosing a multivariate model: Noncentrality and goodness of fit.

TL;DR: In this article, the Tucker-Lewis index and a new unbiased counterpart of the Bentler-Bonett index are recommended for those investigators who might wish to evaluate fit relative to a null model.
Book

Causal Analysis: Assumptions, Models, and Data

TL;DR: In this paper, the authors present a review of the book Causal Analysis: Assumptions, Models and Data, by Lawrence R. James, Stanley A. Mullak, and Jeanne M. Brett.
Journal ArticleDOI

Structural analysis of covariance and correlation matrices

TL;DR: In this paper, a general approach to the analysis of covariance structures is considered, in which the variances and covariances or correlations of the observed variables are directly expressed in terms of the parameters of interest.
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