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Hypothesized models were tested using the maximal likelihood procedure in the LISREL statistics program.
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The maximum likelihood procedure is used for estimating the model parameters.
Therefore, the Heckman two-step maximum likelihood procedure was used to correct for this selection bias.
Additive genetic and residual variances were estimated using the average information restricted maximum likelihood procedure.
The estimation method was the maximum likelihood procedure.
Each interaction type was determined in a maximum likelihood procedure.
Specifically, a one-parameter (Rasch) model using the marginal maximum likelihood procedure has been employed.
All models were fit using the maximum likelihood procedure, as implemented in Program MARK version 4.2.
Maximum likelihood procedure was used to analysis the data.
The method of estimation was a restricted maximum likelihood procedure.
Models were developed using a maximal likelihood discriminant function coupled to a genetic algorithm for variable selection using default settings [33].
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