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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Predictors of Early High School Dropout: A Test of Five Theories.
Sara Battin-Pearson,Michael D. Newcomb,Robert D. Abbott,Karl G. Hill,Richard F. Catalano,J. David Hawkins +5 more
TL;DR: The authors compared the adequacy of five theories to predict dropping out of high school before the 10th grade, including full mediation by academic achievement and direct effects related to general deviance, deviant affiliation, family socialization, and structural strains.
Journal ArticleDOI
Classical Latent Profile Analysis of Academic Self-Concept Dimensions: Synergy of Person- and Variable-Centered Approaches to Theoretical Models of Self-Concept
TL;DR: This paper used a latent profile analysis (LPA) to identify groups of students who had similar profiles for multiple dimensions of academic self-concept (ASC) and related these LPA groups to a diverse set of correlates.
Journal ArticleDOI
Toward an Understanding of the Behavioral Intention to Use an Information System
TL;DR: In this paper, the authors propose a holistic framework to examine several constructs suggested in the literature that lead to the behavioral intention to use an information system, including situational involvement, intrinsic involvement, argument for change, perceived usefulness, ease of use, prior usage, and attitude constructs.
Journal ArticleDOI
A Parsimonious Estimating Technique for Interaction and Quadratic Latent Variables
TL;DR: In this article, an alternative estimation technique for quadratic and interaction latent variables in structural equation models using LISREL, EQS, and CALIS is proposed, which specifies these vari...
Journal ArticleDOI
Organizational Responses to Environmental Demands: Opening the Black Box
TL;DR: The authors argue that external constituents, including customers, regulators, legislators, local communities, and environmental activist organizations, who interact with influential corporate departments are more likely to affect facility managers' decisions and that managers of facilities that are subjected to comparable institutional pressures adopt distinct sets of management practices that appease different external constituents.
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.
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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.
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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.