Descriptor
| Maximum Likelihood Statistics | 3 |
| Simulation | 3 |
| Structural Equation Models | 3 |
| Goodness of Fit | 1 |
| Multivariate Analysis | 1 |
| Regression (Statistics) | 1 |
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| Dolan, Conor V. | 3 |
| Hamaker, Ellen L. | 2 |
| Molenaar, Peter C. M. | 2 |
| van der Maas, Han L. J. | 1 |
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| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
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Peer reviewedHamaker, Ellen L.; Dolan, Conor V.; Molenaar, Peter C. M. – Structural Equation Modeling, 2003
Demonstrated, through simulation, that stationary autoregressive moving average (ARMA) models may be fitted readily when T>N, using normal theory raw maximum likelihood structural equation modeling. Also provides some illustrations based on real data. (SLD)
Descriptors: Maximum Likelihood Statistics, Simulation, Structural Equation Models
Peer reviewedHamaker, Ellen L.; Dolan, Conor V.; Molenaar, Peter C. M. – Structural Equation Modeling, 2002
Reexamined the nature of structural equation modeling (SEM) estimates of autoregressive moving average (ARMA) models, replicated the simulation experiments of P. Molenaar, and examined the behavior of the log-likelihood ratio test. Simulation studies indicate that estimates of ARMA parameters observed with SEM software are identical to those…
Descriptors: Maximum Likelihood Statistics, Regression (Statistics), Simulation, Structural Equation Models
Peer reviewedDolan, Conor V.; van der Maas, Han L. J. – Psychometrika, 1998
Discusses fitting multivariate normal mixture distributions to structural equation modeling. The model used is a LISREL submodel that includes confirmatory factor and structural equation models. Two approaches to maximum likelihood estimation are used. A simulation study compares confidence intervals based on the observed information and…
Descriptors: Goodness of Fit, Maximum Likelihood Statistics, Multivariate Analysis, Simulation
