Analysis of Longitudinal Studies With Missing Data Using Covariance Structure Modeling With Full-Information Maximum Likelihood

By Tenko Raykov. 2005

196 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/d174ea6f59ea427e9e536f2c513a54e3f8fc9b36

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. G. Carlo
2. Cathryn C. Potter
3. S. Roesch
4. Mike W.-L. Cheung
5. H. Rindermann
6. L. Crockett
7. B. A. Randall
8. CandiceL. Odgers

In Statistics and Probability

1. G. Carlo
2. H. Harrington
3. W. Thomson
4. Malcolm R. Sears
5. Robert J. Hancox
6. J. Broadbent
7. Cathryn C. Potter
8. S. Roesch

Citations in the corpus

• Fitting Nonlinear Latent Growth Curve Models With Individually Varying Time Points (2014, unknown): “2000; Raykov, 2005).”
• Female and male antisocial trajectories: From childhood origins to adult outcomes (2008, methodology): “FIML is a widely accepted technique for dealing with missing data (Arbucle, 1996; Enders, 2001; Raykov, 2005).”
• Comparison of Methods of Handling Missing Time-Invariant Covariates in Latent Growth Models Under the Assumption of Missing Completely at Random (2007, methodology): “…advantages of using LGMs over other approaches such as repeated measures analysis of variance (ANOVA) to analyze the longitudinal data is that missing time-varying dependent variables may be properly handled in the analysis (see Goldstein, 2003; Newman, 2003; Raudenbush & Bryk, 2002; Raykov, 2005).”
• Relationship Between Vicarious Traumatization and Turnover Among Child Welfare Professionals (2015, methodology): “Missing data were determined on all key measures and the full information maximum likelihood (FIML) estimator implemented in MPLUS was utilized (Enders, 2001; Raykov, 2005).”
• The g‐factor of international cognitive ability comparisons: the homogeneity of results in PISA, TIMSS, PIRLS and IQ‐tests across nations (2007, methodology): “Factor analyses were done with MPLUS statistical software using Full-InformationMaximum-Likelihood (FIML; Raykov, 2005).”
• A Latent Growth Curve Analysis of Prosocial Behavior Among Rural Adolescents (2007, methodology): “To account for missing data, the fullinformation maximum likelihood method for co-variance structure modeling with longitudinal data was used (see Raykov, 2005).”