| Abstract: | Multiple monotone regression is a set of models and methods that can be applied when researchers do not think that the relationships among their measured variables can be adequately described by a multiple linear regression model. The relations among weak monotonic, additive, and additive monotonic models are discussed. As an example, the models are applied to data from the present author's (see record 1982-27256-001) study of visual information processing. (17 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved) |
