| Literature DB >> 29473961 |
Abstract
Multilevel modeling provides the ability to simultaneously evaluate the discounting of individuals and groups by examining choices between smaller sooner and larger later rewards. A multilevel logistic regression approach is advocated in which sensitivity to relative reward magnitude and relative delay are considered as separate contributors to choice. Examples of how to fit choice data using multilevel logistic models are provided to help researchers in the adoption of these methods.Keywords: choice; delay discounting; multilevel modeling; statistical analysis
Mesh:
Year: 2018 PMID: 29473961 DOI: 10.1002/jeab.316
Source DB: PubMed Journal: J Exp Anal Behav ISSN: 0022-5002 Impact factor: 2.468