Journal ArticleDOI
Comparative fit indexes in structural models
TLDR
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.Abstract:
Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model A drawback of existing indexes is that they estimate no known population parameters A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI) FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics An example illustrates the behavior of these indexes under conditions of correct specification and misspecification The new fit indexes perform very well at all sample sizesread more
Citations
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Structural equations modeling: Fit Indices, sample size, and advanced topics
TL;DR: 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.
Journal ArticleDOI
Enriching or Depleting? The Dynamics of Engagement in Work and Family Roles:
TL;DR: In this paper, the authors examine two competing arguments about the effects of engaging in multiple roles and integrate them by identifying the type of emotional response to a role, negative or positive, as a critical contrasting assumption held by these two perspectives.
Journal ArticleDOI
The Sources of Four Commonly Reported Cutoff Criteria What Did They Really Say
TL;DR: In this article, the authors trace four widely cited and reported cutoff criteria to their (alleged) original sources to determine whether they really said what they are cited as having said about the cutoff criteria, and if not, what the original sources really said.
Journal ArticleDOI
Reporting practices in confirmatory factor analysis: an overview and some recommendations.
TL;DR: Results indicate some positive findings with respect to reporting practices including proposing multiple models a priori and near universal reporting of the chi-square significance test, but many deficiencies were found such as lack of information regarding missing data and assessment of normality.
Journal ArticleDOI
Citizenship Behavior and Social Exchange
Mary A. Konovsky,S. Douglas Pugh +1 more
TL;DR: In this paper, an employee's trust in a supervisor is proposed to mediate the relationship between procedural fairness in the supervisor's decision making and employee citizenship, and data from 475 hospital employees and their supervisors were consistent with their model.
References
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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
A reliability coefficient for maximum likelihood factor analysis
Ledyard R Tucker,Charles Lewis +1 more
TL;DR: In this paper, a reliability coefficient is proposed to indicate quality of representation of interrelations among attributes in a battery by a maximum likelihood factor analysis, which can indicate that an otherwise acceptable factor model does not exactly represent the interrelations between the attributes for a population.
Journal ArticleDOI
Model Selection and Akaike's Information Criterion (AIC): The General Theory and Its Analytical Extensions.
TL;DR: In this article, the entropy-based information criterion (AIC) has been extended in two ways without violating Akaike's main principles: CAIC and CAICF, which make AIC asymptotically consistent and penalize overparameterization more stringently.
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Goodness-of-fit indexes in confirmatory factor analysis : The effect of sample size
TL;DR: In this paper, the influence of sample size on different goodness-of-fit indices used in confirmatory factor analysis (CFA) was examined and the results are consistent with the observation that the amount of random, unexplained variance varies inversely with sample size.