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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More information from fewer questions: the factor structure and item properties of the original and brief fear of negative evaluation scale.
Thomas L. Rodebaugh,Carol M. Woods,David Thissen,Richard G. Heimberg,Dianne L. Chambless,Ronald M. Rapee +5 more
TL;DR: Statistical methods designed for categorical data were used to perform confirmatory factor analyses and item response theory analyses of the Fear of Negative Evaluation scale, and results suggested that a 2-factor model fit the data better for both the FNE and the BFNE.
Journal ArticleDOI
A dispositional approach to employability: Development of a measure and test of implications for employee reactions to organizational change
Mel Fugate,Angelo J. Kinicki +1 more
TL;DR: In this article, the authors developed and validated a dispositional measure of employability (DME), defined as a constellation of individual differences that predispose individuals to (pro)active adaptability specific to work and careers.
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OPRA: A Cross-Cultural, Multiple-Item Scale for Measuring Organization-Public Relationships
TL;DR: A cross-cultural, multiple-item scale for measuring organization-public relationships (called Organization-Public Relationship Assessment [OPRA]) was developed not only to fulfill the standards of reliability and validity in measurement but also to acquire cross-culture comparability.
Journal ArticleDOI
Sticks and Stones May Break My Bones, but Names will Make Me Feel Sick: The Psychosocial, Somatic, and Scholastic Consequences of Peer Harassment.
TL;DR: No sex or ethnic group differences were found in the model structure or the strength of the path coefficients for either model, suggesting that the process is the same for boys and girls and students from different ethnic groups.
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Development and validation of the Stephenson Multigroup Acculturation Scale (SMAS).
TL;DR: The development and psychometric evaluation of the Stephenson Multigroup Acculturation Scale (SMAS) and the role of acculturation as a mediator between ethnic group affiliation and standardized assessment results are described.
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.
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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.
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.