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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Affectivity, Organizational Stressors, and Absenteeism: A Causal Model of Burnout and Its Consequences
TL;DR: In this article, a causal model of burnout that includes affectivity and absenteeism was proposed, and data on these variables, role stress, workload, autonomy, social support, and job satisfaction were collected from 487 healthcare workers, and the results indicated that high NA experienced greater depersonalization from co-worker support than low NA.
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Short assessment of the Big Five: robust across survey methods except telephone interviewing
TL;DR: In this article, the authors examined measurement invariance and age-related robustness of a short 15-item Big Five Inventory (BFI-S) of personality dimensions, which is well suited for applications in large-scale multidisciplinary surveys.
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Sexual Assertiveness Scale (SAS) for Women: Development and Validation
Patricia J. Morokoff,Kathryn Quina,Lisa L. Harlow,Laura E. Whitmire,Diane M. Grimley,Pamela R. Gibson,Gary J. Burkholder +6 more
TL;DR: The SAS provides a reliable instrument for assessing and understanding women's sexual assertiveness and indicates that sexual experience, anticipated negative partner response, and self-efficacy are consistent predictors ofSexual assertiveness.
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The impact of organizational structure on time-based manufacturing and plant performance
TL;DR: In this paper, the authors developed a research framework that examines relationships among various structural dimensions (i.e. number of layers in the hierarchy, level of horizontal integration, locus of decision-making, nature of formalization, and level of communication), time-based manufacturing practices, and plant performance.
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Posttraumatic Growth, Meaning in Life, and Life Satisfaction in Response to Trauma
TL;DR: In this paper, a model of the processes leading to posttraumatic growth and to life satisfaction following exposure to trauma was tested and two types of repeated thought, deliberate and intrusive, posttraumatic symptoms, post traumatic growth, and meaning in life, were assessed as predictors of general life satisfaction.
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.