Mathematics
8 years ago

New Research Reveals Strong Positive Dependence Among Observable Variables

ETS Research Report Series
CONDITIONAL ASSOCIATION AND UNIDIMENSIONALITY IN MONOTONE LATENT VARIABLE MODELS
Paul W. Holland, Paul R. Rosenbaum

Paper Summary

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Latent variable models are used to understand relationships between observable variables by considering hidden factors. A specific type of these models, called monotone unidimensional models, assumes that observable variables are related in a positive way when considering the hidden factor. This positive relationship can be tested to see if the model fits the data well. These models are important in fields like education, sociology, and genetics.