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A Commentary on the Relationship between Model Fit and Saturated Path Models in Structural Equation Modeling Applications
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Raykov, Tenko; Lee, Chun-Lung; Marcoulides, George A.; Chang, Chi – Educational and Psychological Measurement, 2013
The relationship between saturated path-analysis models and their fit to data is revisited. It is demonstrated that a saturated model need not fit perfectly or even well a given data set when fit to the raw data is examined, a criterion currently frequently overlooked by researchers utilizing path analysis modeling techniques. The potential of…
Descriptors: Structural Equation Models, Goodness of Fit, Path Analysis, Correlation
Multilevel Factor Analyses of Family Data from the Hawai'i Family Study of Cognition
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McArdle, John J.; Hamagami, Fumiaki; Bautista, Randy; Onoye, Jane; Hishinuma, Earl S.; Prescott, Carol A.; Takeshita, Junji; Zonderman, Alan B.; Johnson, Ronald C. – Educational and Psychological Measurement, 2014
In this study, we reanalyzed the classic Hawai'i Family Study of Cognition (HFSC) data using contemporary multilevel modeling techniques. We used the HFSC baseline data ("N" = 6,579) and reexamined the factorial structure of 16 cognitive variables using confirmatory (restricted) measurement models in an explicit sequence. These models…
Descriptors: Factor Analysis, Hierarchical Linear Modeling, Data Analysis, Structural Equation Models
A Program Implementing Mardia's Multivariate Normality Test for Use in Structural Equation Modeling with Latent Variables.
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MacIntosh, Randall – Educational and Psychological Measurement, 1997
Presents KANT, a FORTRAN 77 software program that tests assumptions of multivariate normality in a data set. Based on the test developed by M. V. Mardia (1985), the KANT program is useful for those engaged in structural equation modeling with latent variables. (SLD)
Descriptors: Computer Software, Data Analysis, Structural Equation Models