The Polyserial Correlation Coefficient
Copyright policy )The Polyserial Correlation Coefficient
The polyserial and point polyserial correlations are discussed as generalizations of the biserial and point biserial correlations. The relationship between the polyserial and point polyserial correlation is derived. The maximum likelihood estimator of the polyserial correlation is compared with a two-step estimator and with a computationally convenient ad hoc estimator. All three estimators perform reasonably well in a Monte Carlo simulation. Some practical applications of the polyserial correlation are described.
- Yale University United States
- Swedish University of Agricultural Sciences Sweden
latent variables, Measures of association (correlation, canonical correlation, etc.), conditional maximum likelihood estimate, simultaneous estimation, Monte Carlo methods, dichotomous variables, polychotomous variables, ordinal categorical variable, non-linear equation system, ad hoc estimator, two-step method, maximum likelihood, monotonic step function, polyserial correlation
latent variables, Measures of association (correlation, canonical correlation, etc.), conditional maximum likelihood estimate, simultaneous estimation, Monte Carlo methods, dichotomous variables, polychotomous variables, ordinal categorical variable, non-linear equation system, ad hoc estimator, two-step method, maximum likelihood, monotonic step function, polyserial correlation
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