## Aspects of covariance structure analysis with dependent observations |

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### Contents

Asymptotic Properties of MLE p and E | 6 |

Special Case of Equal Group Size | 28 |

A TwoStage Procedure for Covariance Structure Analysis | 32 |

4 other sections not shown

### Common terms and phrases

Amemiya analysis TABLE assumption asymptotic normality asymptotic properties asymptotic variance asymptotically distributed average RMSE Bentler block-diagonal intraclass Chi-Square Statistic chi-square variate consistency and asymptotic covariance structure analysis data matrix degree of dependence degree of freedom dependence among observations dependent observations deviations of parameter empirical power Estimated Factor Covariance estimators obtained factor analysis factor loading estimates input covariance matrix input matrix intraclass dependence structure l)Po latent variable model likelihood ratio test LOO LOO LOO matrix normal distribution maximum likelihood estimators mean and standard MLE's Model Rejection n x p Newcomb number of groups Number of observations parameter estimates plim plotted in Figure population covariance matrix Population Intraclass Correlation presented in Table Psychology RMSE RMSE of Estimated RMSE's Royal Statistical Society sample covariance matrix SAS Institute simulation standard deviations standard error estimates Statistical Society Series test statistic Theorem theoretical power two-factor analytic model two-stage procedure Weng