Quantile regression, a little-known analysis option in psychological research

Binary logistic regression is a well-known and widely used technique in psychology health sciences. This allows the introduction of all types regressors very flexible terms assumptions; it requires random sample n participants evaluated on k predictor variables that show low collinearity dichotomous qualitative variable predicted variable. A practice found with relative frequency this field research to dichotomize quantitative (by cut-off point define case) apply thus take advantage usefulness regression. However, not recommended procedure, since lot information (variance) lost, when there much better alternative, namely, quantile little-known rarely psychology. It as variable, accepts kinds variables, free from restrictive assumptions ordinary least squares linear methodological article aims present its theoretical aspects shows an example applied area promote knowledge use.   Key words: Quantile regression, multiple multivariate statistics,