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Journal ArticleDOI

A reliability coefficient for maximum likelihood factor analysis

TLDR
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.
Abstract
Maximum likelihood factor analysis provides an effective method for estimation of factor matrices and a useful test statistic in the likelihood ratio for rejection of overly simple factor models. A reliability coefficient is proposed to indicate quality of representation of interrelations among attributes in a battery by a maximum likelihood factor analysis. Usually, for a large sample of individuals or objects, the likelihood ratio statistic could indicate that an otherwise acceptable factor model does not exactly represent the interrelations among the attributes for a population. The reliability coefficient could indicate a very close representation in this case and be a better indication as to whether to accept or reject the factor solution.

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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...
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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.
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Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance

TL;DR: In this paper, the authors examined the change in the goodness-of-fit index (GFI) when cross-group constraints are imposed on a measurement model and found that the change was independent of both model complexity and sample size.
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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.
References
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Journal ArticleDOI

Modern Factor Analysis

Journal ArticleDOI

Some contributions to maximum likelihood factor analysis

Karl G. Jöreskog
- 01 Dec 1967 - 
TL;DR: In this paper, a new computational method for the maximum likelihood solution in factor analysis is presented, which takes into account the fact that the likelihood function may not have a maximum in a point of the parameter space where all unique variances are positive.
Journal ArticleDOI

VI.—The Estimation of Factor Loadings by the Method of Maximum Likelihood

TL;DR: In this paper, it is assumed that for a given and supposed infinite population of persons all the factors, specific and otherwise, are distributed normally and independently and that they are standardised, i.e. their standard deviations are unity.
Journal ArticleDOI

An inter-battery method of factor analysis

TL;DR: The inter-battery method of factor analysis was devised to provide information relevant to the stability of factors over different selections of tests as mentioned in this paper, and the correlation between factors determined by scores on the tests in the two batteries was taken as factor reliability coefficients.
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