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Muthen, Bengt – 1994
This paper investigates methods that avoid using multiple groups to represent the missing data patterns in covariance structure modeling, attempting instead to do a single-group analysis where the only action the analyst has to take is to indicate that data is missing. A new covariance structure approach developed by B. Muthen and G. Arminger is…
Descriptors: Bayesian Statistics, Estimation (Mathematics), Maximum Likelihood Statistics, Monte Carlo Methods
Peer reviewedHoijtink, Herbert; Boomsma, Anne – Psychometrika, 1996
The quality of approximations to first- and second-order moments based on latent ability estimates is discussed. The ability estimates are based on the Rasch or the two-parameter logistic model, and true score theory is used to account for the fact that the basic quantities are estimates. (SLD)
Descriptors: Ability, Bayesian Statistics, Estimation (Mathematics), Item Response Theory


