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Background variables were collected.
However, background variables of TALIS are used.
Background variables had only marginal involvement in this model.
Two uncorrelated background variables were used in the simulation.
For example, residuals involving item responses and background variables can indicate whether the covariances of item responses and background variables are consistent with the IRT model.
The extensions can also examine whether problems with residual behavior found when ignoring background variables are removed by including background variables in the model.
However, the four background variables mentioned could not be explained as predictors of outcome.
Variations in practical and eating acceptance in relation to key background variables were explored.
The first set of regressions used only background variables as predictors.
The true person proficiency distribution was simulated to depend on both background variables.
Overall, these background variables explained 62.5%% of the variance in the latent QLT scores.
More suggestions(15)
background values
knowledge variables
background varies
background variances
background parameters
background years
background considerations
background factors
origin variables
background determinants
background characteristics
circumstance variables
background measures
and context variables
contextual variables
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