Definitions and Distinctions First, it is important to distinguish between categorical variables and continuous variables. Categorical variables are those with two values (i.e., binary, dichotomous) or those with a few ordered categories. Examples might include gender, dead vs. alive, audited vs. not audited, or variables with few response options like “never,” “sometimes,” or “always.” Continu...

Definitions and Distinctions First, it is important to distinguish between categorical variables and continuous variables. Categorical variables are those with two values (i.e., binary, dichotomous) or those with a few ordered categories. Examples might include gender, dead vs. alive, audited vs. not audited, or variables with few response options like “never,” “sometimes,” or “always.” Continu...

Any function relating several variables for which admissible scale transformations are specified is assumed to satisfy a functional equation that requires admissible transformations of the independent variables to effect only admissible transformations of the dependent variable. When there are not any dimensional constants that, in effect, cancel out the admissible transformations of the indepe...

This study addresses the impact of spatial scale on explaining variance in benthic communities. In particular, the analysis estimated the fraction of community variation that occurred at a spatial scale smaller than the sampling interval (i.e., the geographic distance between samples). This estimate is important because it sets a limit on the amount of community variation that can be explained ...