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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Implications of Recent Developments in Structural Equation Modeling for Counseling Psychology
TL;DR: This paper reviewed recent developments in structural equation modeling (SEM) since Fassinger's (1987) introductory article, including new approaches from hypothesis testing to determining statistical power and assessing model fit.
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Linking place preferences with place meaning: An examination of the relationship between place motivation and place attachment
TL;DR: In this article, the authors examined the relationship between people's motivation to visit a park and their attachment to the setting and found that not all dimensions of motivation had a significant effect on the dimensions of place attachment.
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A Bifactor Exploratory Structural Equation Modeling Framework for the Identification of Distinct Sources of Construct-Relevant Psychometric Multidimensionality
TL;DR: In this paper, two sources of construct-relevant psychometric multidimensionality present in many complex multidimensional instruments routinely used in psychological and educational research are related to the fallible nature of indicators as perfect indicators of a single construct, and the hierarchical nature of the constructs being assessed.
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A motivational process model of product involvement and consumer risk perception
TL;DR: In this paper, a conceptual motivational process model is presented to explain the processes by which involvement and consumer risk perceptions are caused, and influence one another, as well as subsequent behavioral responses of consumers.
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Structural modeling of resident perceptions of tourism and associated development on the Sunshine Coast, Australia
TL;DR: In this article, the authors applied items on a measurement scale to develop a structural model to describe the tourism impact perceptions of the residents of the Sunshine Coast, Queensland, Australia, and how these perceptions affect their support for tourism development.
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.
Journal ArticleDOI
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.