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Journal ArticleDOI

Structural equations modeling: Fit Indices, sample size, and advanced topics

Dawn Iacobucci
- 01 Jan 2010 - 
- Vol. 20, Iss: 1, pp 90-98
TLDR
In this paper, the second part of two parts intended to serve as a primer for structural equations models for the behavioral researcher is presented. And the first article introduced the basics: the measurement model, the structural model, and the combined, full structural equations model.
About
This article is published in Journal of Consumer Psychology.The article was published on 2010-01-01. It has received 1749 citations till now. The article focuses on the topics: Structural equation modeling.

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Book ChapterDOI

Structural Equation Modeling

TL;DR: The theory of SEM, which allows for the analysis of independent observations for both unrelated and family data, the available software for SEM, and an example of SEM analysis are reviewed.
Journal ArticleDOI

Specification, evaluation, and interpretation of structural equation models

TL;DR: This compendium of standards for the use and interpretation of structural equation models (SEMs) removes some of the mystery and uncertainty of the use of SEMs, while conveying the spirit of their possibilities.
Journal ArticleDOI

Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation

TL;DR: In this paper, a consumer's positively valenced brand-related cognitive, emotional and behavioral activity during or related to focal consumer/brand interactions is analyzed in three different social media contexts, including cognitive processing, affection, and activation.
Journal ArticleDOI

Firm's resilience to supply chain disruptions: Scale development and empirical examination

TL;DR: In this paper, the authors investigate the role of supply chain disruption orientation and risk management resources in the development of firm resilience to supply chain disruptions, and find that supply-chain disruption orientation alone alone is not enough for a firm to develop resilience.
Journal ArticleDOI

The social-psychological determinants of climate change risk perceptions: Towards a comprehensive model

TL;DR: In this article, a detailed social-psychological model of climate change risk perceptions by combining and integrating cognitive, experiential, and socio-cultural factors was proposed, which was tested empirically on a national sample (N = ǫ808) of the UK population.
References
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Journal ArticleDOI

Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives

TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Book

Principles and Practice of Structural Equation Modeling

TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
Journal ArticleDOI

Comparative fit indexes in structural models

TL;DR: A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models and two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes.
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.
Journal ArticleDOI

Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification

TL;DR: In this article, the sensitivity of maximum likelihood (ML), generalized least squares (GLS), and asymptotic distribution-free (ADF)-based fit indices to model misspecification, under conditions that varied sample size and distribution.
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