The Relation Among Fit Indexes, Power, and Sample Size in Structural Equation Modeling

By Kevin Kim. 2005

388 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/cd6e5857d707dfc1cc16a89504294bd292e75e61

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In Computer Networks and Communications

In Management Science and Operations Research

Citations in the corpus

Examination of the Weighted Root Mean Square Residual: Evidence for Trustworthiness? (2018, background): “…[Yuan, Chan, Marcoulides, & Bentler, 2016], correlation root mean square residual [Maydeu-Olivares, 2017], reporting population values of fit indexes [Kim, 2005]), it could be argued that most applied researchers are currently using a descriptive approach to judge the adequacy of a tested model.”
Perceptions and responses to climate policy risks among California farmers (2013, methodology): “According to Kim (2005) our sample size fits the minimum required as determined by our degrees of freedom (df = 123) and root mean square error approximation (RMSEA) (0.056).”
Fear of Death and Supernatural Beliefs: Developing A New Supernatural Belief Scale to Test the Relationship (2013, methodology): “Full information maximum likelihood estimation was used for k = 4 missing (at random) values (0.18%), and robust maximum likelihood estimation (MLR) 1Statistical power was determined mathematically (Kim, 2005) rather than via rules of thumb (Goffin, 2007; Steiger, 2007).”
Psychological Contracts as a Mediator Between Machiavellianism and Employee Citizenship and Deviant Behaviors (2014, methodology): “Satisfying the first condition for establishing mediation (Baron & Kenny, 1986), the relationship between Mach and transactional psychological contracts was positive and significant (b = .57, p < .001). However, the relationship between Mach and relational psychological contracts was not significant”
The Search for "Optimal" Cutoff Properties: Fit Index Criteria in Structural Equation Modeling (2006, methodology): “Consider that Kim (2005) derived power estimates using these indexes in addi”
The effects of technostress and switching stress on discontinued use of social networking services: a study of Facebook use (2015, neutral): “To minimize the influence of CMB, which is particularly problematic 1Following Kim (2005), the minimum sample size to achieve a given level of power depends on (a) the number of variables/degrees of freedom, (b) the relation among the variables, (c) the choice of fit index and (d) the value of the…”
Sample Size Requirements for Structural Equation Models: An Evaluation of Power, Bias, and Solution Propriety (2013, methodology): “These characteristics of a model have also been shown to influence other important aspects of model output that are not under consideration in this study, such as the performance and stability of fit indices (see Jackson, 2001; Kim, 2005; Velicer & Fava, 1998).”
Sample size planning for statistical power and accuracy in parameter estimation. (2008, methodology): “As Kim (2005) points out, such approaches are based on an alternative model being correctly specified, where all of the model parameters are explicitly stated.”
Structural Equations Modeling: Fit Indices, Sample Size, and Advanced Topics (2010, background): “, some determined number of variables, constructs, and therefore degrees of freedom) and desired level of power, or conversely, an estimate of power for a given N (Kim, 2005; MacCallum, Browne, & Cai 2006).”
Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis (2011, methodology): “One of the most well-known approaches for evaluating power of the likelihood ratio test in FA was developed by Satorra and Saris (1985; see also Brown, 2006; Kim, 2005).”
The Empathy Assessment Index (EAI): A Confirmatory Factor Analysis of a Multidimensional Model of Empathy (2011, background): “The number of required sample sizes in SEM decreases as the number of variables and the strength in the relations among these variables increase (Kim, 2005).”
Applications of structural equation modeling (SEM) in ecological studies: an updated review (2016, methodology): “Kim (2005) developed equations to compute the sample size based on model fit indices for a given statistical power.”
Assessing Structural Equation Models by Equivalence Testing With Adjusted Fit Indexes (2016, background): “Although the population values of certain fit indexes can be tested (Browne & Cudeck, 1992; Kim, 2005), like a nonsignificant test statistic, the value of a sample fit index below (for absolute fit indexes) or above (for incremental fit indexes) a certain cutoff value does not allow us to claim the ”